For journal rankings we report measures from http://www.scimagojr.com/ (SJR-best: Q1) and for conference rankings from http://www.conferenceranks.com/ (ERA-best: A, Qualis-best: A1). Our national ranking (JuFo) is http://www.julkaisufoorumi.fi/ (JuFo-3 is the best).

Publications

2019
[179]Revisiting Gray Pixel for Statistical Illumination Estimation (Y. Qian, S. Pertuz, J. Nikkanen, J.-K. Kämäräinen, J. Matas), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2019. (Nominee for the Best Paper Award) (C (ERA), B3 (Qualis); JuFo-1) [bibtex]
[178] Neural Network Pile Loading Controller Trained by Demonstration (E. Halbach, J.-K. Kämäräinen, R. Ghabcheloo), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2019. (SJR: h-ind. 143; A1 (Qualis); JuFo-1) [bibtex] [pdf]
[177]Cumulative Attribute Space Regression for Head Pose Estimation and Color Constancy (K. Chen, K. Jia, H. Huttunen, J. Matas, J.-K. Kämäräinen), In Pattern Recognition, 2019. (SJR: h-ind. 168; class. Q1; field rank. 13th (Signal Processing) and 10th (Computer Vision and Pattern Recognition); JuFo-3) [bibtex]
[176]Smartphone Teleoperation for Self-Balancing Telepresence Robots (A.E. Ainasoja, S. Pertuz, J.-K. Kämäräinen, J. Matas), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2019. (C (ERA), B3 (Qualis); JuFo-1) [bibtex]
2018
[175] Object Detection in Equirectangular Panorama (W. Yang, Y. Qian, F. Cricri, L. Fan, J.-K. Kämäräinen), In Int. Conf. on Pattern Recognition (ICPR), 2018. (B (ERA), A1 (Qualis); JuFo-1; Code: https://github.com/uenian33/360_object_detection_dataset) [bibtex] [pdf]
[174] Hierarchical Deformable Part Models for Heads and Tails (F. Shokrollahi Yancheshmeh, K. Chen, J.-K. Kämäräinen), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2018. (C (ERA), B3 (Qualis); JuFo-1) [bibtex] [pdf]
[173] Focus model for metric depth estimation in standard plenoptic cameras (S. Pertuz, E. Pulido-Herrera, J.-K. Kämäräinen), In ISPRS Journal of Photogrammetry and Remote Sensing, volume 144, 2018. (SJR: h-ind. 99; class. Q1; field rank. 1st (Computers in Earth Sciences); JuFo-1; Code and data: https://sites.google.com/view/cvia/plenoptic-imaging) [bibtex] [pdf] [doi]
[172] Efficient and Robust Methods for Audio and Video Signal Analysis (K. Mahkonen), PhD thesis, Tampere University of Technology, 2018. [bibtex] [pdf]
[171]Cascade of Boolean detector combinations (K. Mahkonen, T. Virtanen, J.-K. Kämäräinen), In EURASIP Journal on Image and Video Processing, volume 61, 2018. (SJR: h-ind. 28; class. Q2; field rank. 55th (Signal Processing); JuFo-1) [bibtex] [doi]
[170] Evaluation of Visual Object Trackers on Equirectangular Panorama (U. Kart, J.-K. Kämäräinen, L. Fan, M. Gabbouj), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2018. (C (ERA), B3 (Qualis); JuFo-1) [bibtex] [pdf]
[169] Depth Masked Discriminative Correlation Filter (U. Kart, J.-K. Kämäräinen, J. Matas, L. Fan, F. Cricri), In Int. Conf. on Pattern Recognition (ICPR), 2018. (Nominee for the Best Industry Related Paper Award) (B (ERA), A1 (Qualis); JuFo-1) [bibtex] [pdf]
[168] How to Make an RGBD Tracker? (U. Kart, J.-K. Kämäräinen, J. Matas), In European Conference on Computer Vision (ECCV) Workshop on Visual Object Tracking, 2018. (Code: https://github.com/ugurkart/rgbdconverter) [bibtex] [pdf]
[167] Depth-sensor-projector safety model for human-robot collaboration (A. Hietanen, R.-J. Halme, J. Latokartano, R. Pieters, M. Lanz, J.-K. Kämäräinen), In IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) Workshop on Robotic Co-workers 4.0, 2018. (YouTube: https://www.youtube.com/watch?v=CFKKANvWc3A) [bibtex] [pdf]
[166]Review of vision-based safety systems for human-robot collaboration (R.-J. Halme, M. Lanz, J.-K. Kämäräinen, R. Pieters, J. Latokartano, A. Hietanen), In Procedia CIRP - 51st CIRP Conf. on Manufacturing Systems, 2018. (SJR: h-ind. 30; class. -; field rank. 70th (Industrial and Manufacturing Engineering); JuFo-1) [bibtex] [doi]
[165] 360 Panorama Super-Resolution Using Deep Convolutional Networks (V. Fakour-Sevom, E. Guldogan, J.-K. Kämäräinen), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2018. (C (ERA), B3 (Qualis); JuFo-1) [bibtex] [pdf]
[164] Convolutional Low-Resolution Fine-Grained Classification (D. Cai, K. Chen, Y. Qian, J.-K. Kämäräinen), In Pattern Recognition Letters, 2018. (SJR: h-ind. 122; class. Q1; field rank. 26th (Computer Vision and Pattern Recognition); JuFo-2) [bibtex] [pdf] [doi]
[163] Keyframe-Based Video Sumarization with Human in the Loop (A.E. Ainasoja, A. Hietanen, J. Lankinen, J.-K. Kämäräinen), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2018. (C (ERA), B3 (Qualis); JuFo-1) [bibtex] [pdf]
2017
[162] Identity-aware Convolutional Neural Networks for Facial Expression Recognition (C. Zhang, P. Wang K. Chen, J.-K. Kämäräinen), In Journal of Systems Engineering and Electronics, volume 28, 2017. (In press. SJR: h-ind. 23; class. Q2; JuFo-1) [bibtex] [pdf] [doi]
[161] Dominant Convolutional Feature Channels for Image Subcategory Clustering (Peng Yao), Master's thesis, Tampere University of Technology, 2017. [bibtex] [pdf]
[160] Hierarchical Sliding Slice Regression for Vehicle Viewing Angle Estimation (D. Yang, K. Chen, Y. Qian, E. Berki, J.-K. Kämäräinen), In IEEE Transactions on Intelligent Transportation Systems, 2017. (In press. SJR: h-ind. 94; class. Q1; field rank. 6th (Automotive Engineering); JuFo-1) [bibtex] [pdf] [doi]
[159] Hierarchical regression learning for car pose estimation (Dan Yang), Master's thesis, University of Tampere, 2017. [bibtex] [pdf]
[158] Cross-granularity graph inference for semantic video object segmentation (H. Wang, T. Wang, K. Chen, J.-K. Kämäräinen), In Int. Joint Conf. on Artificial Intelligence (IJCAI), 2017. (SJR: h-ind. 72; Rankings: A (ERA), A1 (Qualis); JuFo-2) [bibtex] [pdf]
[157] Video event classification using 3D convolutional neural networks (Iikka Teivas), Master's thesis, Tampere University of Technology, 2017. [bibtex] [pdf]
[156] Improvement of Deep Learning Models on Classification Tasks Using Haar Transform and Model Ensemble (Nguyen Son Tung), Technical report, Häme University of Applied Sciences, 2017. (BSc Thesis) [bibtex] [pdf]
[155] The World of Fast Moving Objects (D. Rozumnyi, J. Kotera, F. Sroubek, L. Novotny, J. Matas), In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017. (SJR: h-ind. 192; field rank. 2nd (Computer Vision and Pattern Recognition); A (ERA), A1 (Qualis); JuFo-2) [bibtex] [pdf]
[154] Recurrent Color Constancy (Y. Qian, K. Chen, J. Nikkanen, J.-K. Kämäräinen, J. Matas), In Int. Conf. on Computer Vision (ICCV2017), 2017. (SJR: h-ind. 138; field rank. 3rd (Computer Vision and Pattern Recognition); A (ERA), A1 (Qualis); JuFo-2) [bibtex] [pdf]
[153] Region-based Depth Recovery for Highly Sparse Depth Maps (S. Pertuz, J.-K. Kämäräinen), In Int. Conf. on Image Processing (ICIP2017), 2017. (SJR: h-ind. 63; B (ERA), A1 (Qualis); JuFo-1) [bibtex] [pdf]
[152] Universal Robotics -käsivarren ohjaus Kinectillä (Samuli Koivisto), Technical report, Tampere University of Signal Processing, 2017. (Code: https://gitlab.rd.tut.fi/koivis22/kinect_matkiminen) [bibtex] [pdf]
[151] Robustifying Correspondence Based 6D Object Pose Estimation (A. Hietanen, J. Halme, A. Glent Buch, J. Latokartano, J.-K. Kämäräinen), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2017. (SJR: h-ind. 105; A1 (Qualis); JuFo-1) [bibtex] [pdf]
[150] Spectral Attribute Learning for Visual Regression (K. Chen, K. Jia, Z. Zhang, J.-K. Kämäräinen), In Pattern Recognition, volume 66, 2017. (SJR: h-ind. 146; class. Q1; field rank. 3th (Signal Processing) and 5th (Computer Vision and Pattern Recognition); JuFo-3) [bibtex] [pdf] [doi]
[149] Estimation of Flow Turbulence Metrics With a Lateral Line Probe and Regression (K. Chen, J.A. Tuhtan, J.F. Fuentes-Pérez, G. Toming, M. Musall, N. Strokina, J.-K. Kämäräinen, M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 66, 2017. (SJR: h-ind. 79; class. Q1; field rank. 13th (Instrumentation); JuFo-2) [bibtex] [pdf] [doi]
[148] Urban 3D Segmentation and Modelling From Street View Images and LiDAR Point Clouds (P. Babahajiani, L. Fan, J.-K. Kämäräinen, M. Gabbouj), In Machine Vision and Applications, volume 28, 2017. (SJR: h-ind. 45; class. Q1; field rank. 16th (Computer Vision and Pattern Recognition); JuFo-2) [bibtex] [pdf] [doi]
2016
[147]Design and application of a fish-shaped lateral line probe for flow measurement (J. Tuhtan, J.F. Fuentes-Perez, N. Strokina, G. Toming, M. Musall, M. Noack, J.-K. Kämäräinen, M. Kruusmaa), In Review of Scientific Instruments, volume 87, 2016. (SJR: h-ind. 123; class. Q2; field rank. 32th (Instrumentation); JuFo-1) [bibtex] [doi]
[146] Joint Estimation of bulk flow velocity and angle using a lateral line probe (N. Strokina, J.-K. Kämäräinen, J.A. Tuhtan, J.F. Fuentes-Pérez, M. Kruusmaa), In IEEE Transactions on Instrumentation and Measurements, volume 65, 2016. (SJR: h-ind. 72; class. Q1; field rank. 7th (Instrumentation); JuFo-2) [bibtex] [pdf] [doi]
[145] Deep Structured-Output Regression Learning for Computational Color Constancy (Y. Qian, K. Chen, J.-K. Kämäräinen, J. Nikkanen, J. Matas), In 23rd Int. Conf. on Pattern Recognition (ICPR2016), 2016. (B (ERA), A1 (Qualis); JuFo-1) [bibtex] [pdf]
[144] Dense 3D Models From a Single RGB-D View (Antti Pohjola), Master's thesis, Tampere University of Technology, 2016. [bibtex] [pdf]
[143] Cascade processing for speeding up sliding window sparse classification (K. Mahkonen, A. Hurmalainen, T. Virtanen, J.-K. Kämäräinen), In European Signal Processing Conference (EUSIPCO), 2016. (B (ERA), B1 (Qualis); JuFo-1) [bibtex] [pdf]
[142] Incremental Convolutional Neural Network Training (Y. Liu, Y. Qian, K. Chen, J.-K. Kämäräinen, H. Huttunen, L. Fan, J. Saarinen), In ICPR 1st Int. Workshop on Deep Learning for Pattern Recognition, 2016. (Code: https://bitbucket.org/kamarain/imagenet-tiny/) [bibtex] [pdf]
[141] A Comparison of Feature Detectors and Descriptors for Object Class Matching (A. Hietanen, J. Lankinen, A.G. Buch, J.-K. Kämäräinen, N. Küger), In Neurocomputing, volume 184, 2016. (SJR: h-ind. 77; class. Q2; field rank. 30th (Cognitive Neuroscience); JuFo-2) [bibtex] [pdf] [doi]
[140]Visualizing retinal vessel dynamics of young type 1 diabetic patients using self-organizing map (S. Haikonen, J. Kytö, J.P. Kauppi H. Huttunen P.H. Groop P. Summanen J.-K. Kämäräinen), In Acta Ophthalmologica, volume 94, 2016. (EVER 2016 abstracts. SJR: h-ind. 38; class. Q1; field rank. 13th (Ophthalmology); JuFo-1) [bibtex] [doi]
[139] Pedestrian Density Analysis in Public Scenes with Spatio-Temporal Tensor Features (K. Chen, J.-K. Kämäräinen), In IEEE Transactions on Intelligent Transportation Systems, volume 17, 2016. (SJR: h-ind. 82; class. Q1; field rank. 5th (Automotive Engineering); JuFo-1) [bibtex] [pdf] [doi]
[138] Facial Age Estimation Using Robust Label Distribution (K. Chen, Z. Zhang, J.-K. Kämäräinen), In ACM Multimedia Conference (ACMMM), 2016. (A (ERA), A1 (Qualis); JuFo-2) [bibtex] [pdf]
[137] Learning with Ambiguous Label Distribution for Apparent Age Estimation (K. Chen, J.-K. Kämäräinen), In Asian Conference on Computer Vision (ACCV), 2016. (Rankings: B (ERA); JuFo-1) [bibtex] [pdf]
[136] Comprehensive Automated 3D Urban Environment Modelling Using Terrestrial Laser Scanning Point Cloud (P. Babahajiani, L. Fan, J.-K. Kämäräinen, M. Gabbouj), In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Workshop on Large Scale 3D Data, 2016. (JuFo-1) [bibtex] [pdf]
[135]Video Summarization with Key Frames (Antti Ainasoja), Master's thesis, Tampere University of Technology, 2016. [bibtex]
2015
[134]Online measurement of the bubble size distribution in medium-consistency oxygen delignification. (N. Strokina T. Eerola L. Lensu H. Kälviäinen H. Mutikainen, J. Käyhkö), In Appita Journal, volume 68, 2015. [bibtex]
[133]Hydrodynamic Classification of Natural Flows Using an Artificial Lateral Line and Frequency Domain Features (J.A. Tuhtan, N. Strokina, G. Toming, N. Muhammad, M. Kruusmaa, J.-K. Kämäräinen), In 36th IAHR World Congress, 2015. [bibtex]
[132] Unsupervised Visual Alignment with Similarity Graphs (F. Shokrollahi Yancheshmeh, K. Chen, J.-K. Kämäräinen), In IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015. (Code: https://bitbucket.org/kamarain/image_alignment-code/src/master/ SJR: h-ind. 134; class. Q1; field rank. 4th (Computer Vision and Pattern Recognition); JuFo-2) [bibtex] [pdf]
[131] Kamerapohjainen paikannus (Ansse Saarimäki), Technical report, Tampere University of Signal Processing, 2015. (BSc Thesis) [bibtex] [pdf]
[130] Generative Part-Based Gabor Object Detector (E. Riabchenko, J.-K. Kämäräinen), In Pattern Recognition Letters, volume 68, 2015. (SJR: h-ind. 102; class. Q1; field rank. 15th (Computer Vision and Pattern Recognition); JuFo-2) [bibtex] [pdf]
[129] Generative Part-Based Gabor Object Detector (E. Riabchenko), PhD thesis, Lappeenranta University of Technology, 2015. [bibtex] [pdf]
[128] Flow feature extraction for underwater robot localization: preliminary results (N. Muhammad, N. Strokina, G. Toming, J.A. Tuhtan, J.-K. Kämäräinen, M. Kruusmaa), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2015. [bibtex] [pdf]
[127]Incremental Learning in Deep Neural Networks (Y. Liu), Master's thesis, Tampere University of Technology, 2015. [bibtex]
[126]Local Features for Visual Object Class Matching and Video Scene Detection (A. Hietanen), Master's thesis, Tampere University of Technology, 2015. [bibtex]
[125] Computer Vision for Head Pose Estimation: Review of a Competition (H. Huttunen, K. Chen, A. Thakur, A. Krohn-Grimberghe, O. Gencoglu, X. Ni, M. Al-Musawi, L. Xu, H. Jacob van Veen), In Scandinavian Conf. on Image Analysis (SCIA2015), 2015. [bibtex] [pdf]
[124]Visualizing Retinal Vessel Dynamics Using Self-Organizing Map (Satu Haikonen), Technical report, Tampere University of Signal Processing, 2015. (BSc Thesis) [bibtex]
[123] Progressive Visual Object Detection with Positive Training Examples Only (E. Riabchenko, K. Chen, J.-K. Kämäräinen), In Scandinavian Conf. on Image Analysis (SCIA2015), 2015. [bibtex] [pdf]
[122] Automated Super-Voxel Based Features Classification of Urban Environments by Integrating 3D Point Cloud and Image Content (P. Babahajiani, L. Fan, J.-K. Kamarainen, M. Gabbouj), In IEEE Int. Conf. on Signal and Image Processing Applications, 2015. [bibtex] [pdf]
2014
[121] Comparison of appearance-based and geometry-based bubble detectors (N. Strokina, R. Juranek, T. Eerola, L. Lensu, P. Zemcik, H. Kälviäinen), In International Conference on Computer Vision and Graphics (ICCVG 2014), 2014. [bibtex] [pdf]
[120]Image-based characterization of the pulp flows. (N. Strokina T. Eerola L. Lensu M. Sorokin, H. Kälviäinen), In the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW 2014), 2014. [bibtex]
[119] Live RGB-D Camera Tracking for Television Production Studios (T. Tykkälä, A.I. Comport, J.-K. Kämäräinen, H. Hartikainen), In Journal of Visual Communication and Image Representation, volume 25, 2014. (SJR: h-ind. 50; class. Q1; field rank. 9th (Media Technology)) [bibtex] [pdf]
[118] Discovering Multi-Relational Latent Attributes by Visual Similarity Networks (F. Shokrollahi Yancheshmeh, J.-K. Kämäräinen, K. Chen), In Asian Conf. on Computer Vision (ACCV) Workshop on Feature and Similarity, 2014. [bibtex] [pdf]
[117] Unsupervised Alignment of Objects in Images (Fatemeh Shokrollahi Yancheshmeh), Master's thesis, Tampere University of Technology (TUT), 2014. [bibtex] [pdf]
[116] Learning Generative Models of Object Parts from A Few Positive Examples (E. Riabchenko, J.-K. Kämäräinen, K. Chen), In 22th Int. Conf. on Pattern Recognition (ICPR2014), 2014. [bibtex] [pdf]
[115] Density-Aware Part-Based Object Detection with Positive Examples (E. Riabchenko, J.-K. Kämäräinen, K. Chen), In 22th Int. Conf. on Pattern Recognition (ICPR2014), 2014. [bibtex] [pdf]
[114] Lifelog Scene Change Detection Using Cascades of Audio and Video Detectors (K. Mahkonen, J.-K. Kämäräinen, T. Virtanen), In Asian Conf. on Computer Vision (ACCV) Workshop on Intelligent Mobile and Egocentric Vision, 2014. [bibtex] [pdf]
[113] Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection (J. Lankinen), PhD thesis, Lappeenranta University of Technology, 2014. [bibtex] [pdf]
[112]Guest Editorial: Best of 18th Scandinavian Conference On Image Analysis 2013 (J.-K. Kämäräinen, M. Koskela), In Pattern Recognition Letters, volume 49, 2014. [bibtex]
[111] A 3D Map Augmented Photo Gallery Application on Mobile Device (J. Fu, L. Fan, K. Roimela, Y. You, V. Mattila), In 21st Int. Conf. on Image Processing (ICIP2014), 2014. [bibtex] [pdf]
[110] Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives (J. Fu, J.-K. Kämäräinen, A. Glent Buch, N. Krüger), In Asian Conf. on Computer Vision (ACCV) Workshop on Big Data in 3D Computer Vision, 2014. [bibtex] [pdf]
[109] Learning to Count with Back-Propagated Information (K. Chen, J.-K. Kämäräinen), In 22th Int. Conf. on Pattern Recognition (ICPR2014), 2014. [bibtex] [pdf]
2013
[108] 18th Scandinavian Conf. on Image Analysis, (J.-K. Kämäräinen, M. Koskela, eds.), Springer, 2013. [bibtex] [pdf]
[107] RGB-D Tracking and Reconstruction for TV Broadcasts (T. Tykkälä, H. Hartikainen, A.I. Comport, J.-K. Kämäräinen), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2013. [bibtex] [pdf]
[106] Photorealistic 3D Mapping of Indoors by RGB-D Scanning Process (T. Tykkälä, A.I. Comport, J.-K. Kämäräinen), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013. [bibtex] [pdf]
[105] Real-Time Image-Based RGB-D Camera Motion Tracking and Environment Mapping (T.M. Tykkälä), PhD thesis, Lappeenranta University of Technology, 2013. [bibtex] [pdf]
[104] Supervised Object Class Colour Normalisation (E. Riabchenko, J. Lankinen, A.G. Buch, J.-K. Kämäräinen, N. Krueger), In Scandinavian Conf. on Image Analysis (SCIA2013), 2013. [bibtex] [pdf]
[103] Video Shot Boundary Detection Using Visual Bag-of-Words (J. Lankinen, J.-K. Kämäräinen), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2013. [bibtex] [pdf]
[102] Unsupervised visual object categorisation with BoF and spatial matching (T. Kinnunen, J. Lankinen, J.-K. Kämäräinen, L. Lensu, H. Kälviäinen), In Scandinavian Conf. on Image Analysis (SCIA2013), 2013. [bibtex] [pdf]
[101] Constructing Benchmark Databases and Protocols for Medical Image Analysis: Diabetic Retinopathy (Tomi Kauppi, J.-K. Kämäräinen, Lasse Lensu, Valentina Kalesnykiene, Iiris Sorri, Hannu Uusitalo, Heikki Kälviäinen), In Computational and Mathematical Methods in Medicine, volume 2013, 2013. [bibtex] [pdf]
[100] Pose Estimation Using a Hierarchical 3D Representation of Contours and Surfaces (A.G. Buch, D. Kraft, J.-K. Kämäräinen, N. Krüger), In Int. Conf. on Computer Vision Theory and Applications (VISAPP), 2013. [bibtex] [pdf]
[99] Pose Estimation Using Local Structure-Specific Shape and Appearance Context (A.G. Buch, D. Kraft, J.-K. Kamarainen, H.G. Petersen, N. Krüger), In IEEE Int. Conf. on Robotics and Automation (ICRA), 2013. (SJR: h-ind. 97) [bibtex] [pdf]
2012
[98] Federated Computer Science Event, (S. Tarkoma, J.-K. Kamarainen, T. Pahikkala, eds.), Unigrafia, 2012. [bibtex] [pdf]
[97] A comparison of local feature detectors and descriptors for visual object categorization by intra-class repeatability and matching (J. Lankinen, V. Kangas, J.-K. Kamarainen), In 21th Int. Conf. on Pattern Recognition (ICPR2012), 2012. [bibtex] [pdf]
[96] Visual Saliency and Categorisation of Abstract Images (M. Laine-Hernandez, T. Kinnunen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen, P. Oittinen), In 21th Int. Conf. on Pattern Recognition (ICPR2012), 2012. [bibtex] [pdf]
[95] Unsupervised Object Discovery via Self-Organisation (T. Kinnunen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In Pattern Recognition Letters, volume 33, 2012. [bibtex] [pdf]
[94] A Framework for Constructing Benchmark Databases and Protocols for Retinopathy in Medical Image Analysis (T. Kauppi, J.-K. Kamarainen, L. Lensu, V. Kalesnykiene, I. Sorri, H. Uusitalo, H. Kälviäinen), In Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE), 2012. [bibtex] [pdf]
[93] Combining Multiple Image Segmentations by Maximizing Expert Agreement (J.-K. Kamarainen, L. Lensu, T. Kauppi), In MICCAI Workshop on Machine Learning in Medical Imaging, 2012. [bibtex] [pdf]
[92] Gabor Features in Image Analysis (J.-K. Kamarainen), In Int. Conf. on Image Processing Theory, Tools and Applications (IPTA2012), 2012. [bibtex] [pdf]
[91] From Full-Reference to No-Reference in Quality Assessment of Printed Images (T. Eerola, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In Federated Computer Science Event, 2012. [bibtex] [pdf]
2011
[90] Projector calibration by ''inverse camera calibration'' (I. Martynov, J.-K. Kamarainen, L. Lensu), In Scandinavian Conf. on Image Analysis (SCIA2011), 2011. [bibtex] [pdf]
[89] Local Feature Based Unsupervised Alignment of Object Class Images (J. Lankinen, J.-K. Kamarainen), In British Machine Vision Conference (BMVC2011), 2011. [bibtex] [pdf]
[88] Facial Feature Representation (J.-K. Kamarainen, A. Hadid, M. Pietikäinen), Chapter in Handbook of Face Recognition, Springer, 2011. [bibtex] [pdf]
[87] Bayesian network model of overall print quality: construction and structural optimisation (T. Eerola, L. Lensu, J.-K. Kamarainen, T. Leisti, R. Ritala, G. Nyman, H. Kälviäinen), In Pattern Recognition Letters, volume 32, 2011. [bibtex] [pdf]
[86]Thresholding based detection of fine and sparse details (A. Drobchenko, J.-K. Kamarainen, L. Lensu, J. Vartiainen, H. Kälviäinen, T. Eerola), In Frontiers of Electrical and Electronic Engineering in China, volume 6, 2011. [bibtex]
2010
[85] Narrow Baseline GLSL Multiview Stereo (P. Paalanen, J.-K. Kamarainen), In 3D Data Processing, Visualization and Transmission (3DPVT), 2010. (Code: http://www2.it.lut.fi/wiki/doku.php/common/itlab_cpp_library) [bibtex] [pdf]
[84] Unsupervised Visual Object Categorisation via Self-Organisation (T. Kinnunen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In 20th Int. Conf. on Pattern Recognition (ICPR2010), 2010. [bibtex] [pdf]
[83] Making Visual Object Categorization More Challenging: Randomized Caltech-101 Data Set (T. Kinnunen, J.-K. Kamarainen, L. Lensu, J. Lankinen, H. Kälviäinen), In 20th Int. Conf. on Pattern Recognition (ICPR2010), 2010. [bibtex] [pdf]
[82] Learning and Detection of Object Landmarks in Canonical Object Space (J.-K. Kamarainen, J. Ilonen), In 20th Int. Conf. on Pattern Recognition (ICPR2010), 2010. [bibtex] [pdf]
[81] Full Reference Printed Image Quality: Measurement Framework and Statistical Evaluation (T. Eerola, J.-K. Kamarainen, L. Lensu, T. Leisti, R. Halonen, H. Kälviäinen, G. Nyman, P. Oittinen), In Journal of Imaging Science and Technology (JIST), volume 54, 2010. (Charles E. Ives Journal Award for the best paper) [bibtex] [pdf]
2009
[80] Image Based Quantitative Mosaic Evaluation with Artificial Video (P. Paalanen, J.-K. Kamarainen, H. Kälviäinen), In Scandinavian Conf. on Image Analysis (SCIA2009), 2009. [bibtex] [pdf]
[79]Bag-of-Features Codebook Generation by Self-Organisation (T. Kinnunen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In 7th Int. Workshop on Self-Organizing Maps (WSOM2009), 2009. [bibtex]
[78]The role of model-based illumination correction in processing colour eye fundus images (T. Kauppi, L. Lensu, J.-K. Kamarainen, P. Fält, M. Hauta-Kasari, J. Hiltunen, V. Kalesnykiene, I. Sorri, H. Uusitalo, H. Kälviäinen, J. Pietilä), In Medical Physics and Biomedical Engineering World Congress (WC2009), 2009. [bibtex]
[77] Fusion of multiple expert annotations and overall score selection for medical image diagnosis (T. Kauppi, J.-K. Kamarainen, L. Lensu, V. Kalesnykiene, I. Sorri, H. Kälviäinen, H. Uusitalo, J. Pietilä), In Scandinavian Conf. on Image Analysis (SCIA2009), 2009. [bibtex] [pdf]
[76] Experimental Study on Fast 2D Homography Estimation from a Few Point Correspondences (J.-K. Kamarainen, P. Paalanen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2009. [bibtex] [pdf]
[75]Framework for Applying Full Reference Digital Image Quality Measures to Printed Images (T. Eerola, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In Scandinavian Conf. on Image Analysis (SCIA2009), 2009. [bibtex]
2008
[74] Detection of irregularities in regular patterns (J. Vartiainen, A. Sadovnikov, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In Machine Vision and Applications, volume 19, 2008. [bibtex] [pdf]
[73] Towards online 3D reconstruction (P. Paalanen, V. Kyrki, J.-K. Kamarainen), In ECCV Workshop on Vision in Action, 2008. [bibtex] [pdf]
[72] Image feature localization by multiple hypothesis testing of Gabor features (J. Ilonen, J.-K. Kamarainen, P. Paalanen, M. Hamouz, J. Kittler, H. Kälviäinen), In IEEE Transactions on Image Processing, volume 17, 2008. (SJR: h-ind. 182; class. Q1; field rank. 2nd (Computer Graphics and Computer-Aided Design)) [bibtex] [pdf]
[71]Is there hope for predicting human visual quality experience? (T. Eerola, J.-K. Kamarainen, T. Leisti, R. Halonen, L. Lensu, H. Kälviäinen, G. Nyman, P. Oittinen), In IEEE Int. Conf. on Systems, Man and Cybernetics, 2008. [bibtex]
[70]Finding best measurable quantities for predicting human visual quality experience (T. Eerola, J.-K. Kamarainen, T. Leisti, R. Halonen, L. Lensu, H. Kälviäinen, P. Oittinen, G. Nyman), In IEEE Int. Conf. on Systems, Man and Cybernetics, 2008. [bibtex]
2007
[69]Real-Time On-Screen Mosaic Rendering (P. Paalanen, J.-K. Kamarainen, L. Lensu, V. Kyrki, H. Kälviäinen), In Finnish Signal Processing Symposium, 2007. [bibtex]
[68]Image Based Quantitative Mosaic Evaluation with Artificial Video (P. Paalanen, J.-K. Kamarainen, H. Kälviäinen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2007. [bibtex]
[67]Goniometric Imaging of Paper Gloss (T. Kauppi, A. Sadovnikov, L. Lensu, J.-K. Kamarainen, P. Silfsten, H. Kälviäinen), In IAPR Conf. on Machine Vision Applications, 2007. [bibtex]
[66]Asiantuntijatiedon käyttö silmänpohjakuvien automaattisessa tulkinnassa (T. Kauppi, V. Kalesnykiene, L. Lensu, J.-K. Kamarainen, I. Sorri, A. Raninen, R. Voutilainen, H. Kälviäinen, J. Pietilä, H. Uusitalo), In , 2007. [bibtex]
[65]DIARETDB1 diabetic retinopathy database and evaluation protocol (T. Kauppi, V. Kalesnykiene, J.-K. Kamarainen, L. Lensu, I. Sorri, A. Raninen, R. Voutilainen, J. Pietilä, H. Kälviäinen, H. Uusitalo), In Medical Image Understanding and Analysis (MIUA2007), 2007. [bibtex]
[64]The DIARETDB1 diabetic retinopathy database and evaluation protocol (T. Kauppi, V. Kalesnykiene, J.-K. Kamarainen, L. Lensu, I. Sorri, A. A. Raninen, R. Voutilainen, H. Uusitalo, H. Kälviäinen, J. Pietilä), In British Machine Vision Conference (BMVC2007), volume 1, 2007. [bibtex]
[63]Local and Global Gabor Features for Object Recognition (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In Pattern Recognition and Image Analysis, volume 17, 2007. [bibtex]
[62] Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features (J.-K. Kamarainen, M. Hamouz, J. Kittler, P. Paalanen, J. Ilonen, A. Drobchenko), In ICCV Workshop on Non-Rigid Registration and Tracking Through Learning, 2007. [bibtex] [pdf]
[61]Fast extraction of multi-resolution Gabor features (J. Ilonen, J.-K. Kamarainen, H. Kälviäinen), In 14th International Conference on Image Analysis and Processing, 2007. [bibtex]
[60]Visual Print Quality Evaluation Using Computational Features (T. Eerola, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In 3rd Int. Symposium on Visual Computing, 2007. [bibtex]
[59]Object class detection using local image features and point pattern matching constellation search (A. Drobchenko, J. Ilonen, J.-K. Kamarainen, A. Sadovnikov, H. Kälviäinen, M. Hamouz), In Scandinavian Conf. on Image Analysis (SCIA2007), 2007. [bibtex]
2006
[58]Minimum error contrast enhancement (J. Vartiainen, P. Paalanen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2006. [bibtex]
[57]Automating visual inspection of print quality (J. Vartiainen, S. Lyden, A. Sadovnikov, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In Int. Conf. on Image Analysis and Recognition, volume 2, 2006. [bibtex]
[56]Detecting irregularities in regular patterns (J. Vartiainen, L. Lensu, J.-K. Kamarainen, A. Sadovnikov, H. Kälviäinen), In 18th Int. Conf. on Pattern Recognition (ICPR2006), 2006. [bibtex]
[55]Measuring Translation Shiftability of Frames (J. Sampo, J.-K. Kamarainen, M. Heiliö, H. Kälviäinen), In Computers & Mathematics with Applications, volume 52, 2006. [bibtex]
[54]Model Based Generation of Random Stimuli and Parameter Analysis for Print Unevenness Evaluation (A. Sadovnikov, L. Lensu, J.-K. Kamarainen, H. Kälviäinen), In Proc. of the 29th European Conference on Visual Perception, 2006. [bibtex]
[53] Feature Representation and Discrimination Based on Gaussian Mixture Model Probability Densities - Practices and Algorithms (P. Paalanen, J.-K. Kamarainen, J. Ilonen, H. Kälviäinen), In Pattern Recognition, volume 39, 2006. (SJR: h-ind. 134; class. Q1; field rank. 5th (Computer Vision and Pattern Recognition); Code: https://bitbucket.org/kamarain/gmmbayes-code) [bibtex] [pdf]
[52]Toward systemized collection of expert knowledge for fundus images in diabetic retinopathy (T. Kauppi, V. Kalesnykiene, L. Lensu, J.-K. Kamarainen, I. Sorri, H. Kälviäinen, J. Pietilä, H. Uusitalo), In Engineering the Eye II: Imaging the Retina, 2006. [bibtex]
[51] Invariance Properties of Gabor Filter Based Features - Overview and Applications (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In IEEE Transactions on Image Processing, volume 15, 2006. (SJR: h-ind. 182; class. Q1; field rank. 2nd (Computer Graphics and Computer-Aided Design)) [bibtex] [pdf]
[50] Gaussian mixture pdf in one-class classification: computing and utilizing confidence values (J. Ilonen, P. Paalanen, J.-K. Kamarainen, H. Kälviäinen), In 18th Int. Conf. on Pattern Recognition (ICPR), 2006. [bibtex] [pdf]
[49] Toward Automatic Forecasts for Diffusion of Innovations (J. Ilonen, J.-K. Kamarainen, K. Puumalainen, S. Sundqvist, H. Kälviäinen), In Technological Forecasting & Social Change, volume 73, 2006. (SJR: h-ind. 59; class. Q1; field rank. 25th (Management of Technology and Innovations)) [bibtex] [pdf]
[48]Object categorization using self-organization over visual appearance (J. Ilonen, J.-K. Kamarainen), In Int. Joint Conf. on Neural Networks (IJCNN2006), 2006. [bibtex]
2005
[47]Detection of Irregularities in Regular Dot Patterns (A. Sadovnikov, J. Vartiainen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In IAPR Conf. on Machine Vision Applications, 2005. [bibtex]
[46]Detection of irregularities in regular dot patterns (A. Sadovnikov, J. Vartiainen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2005. [bibtex]
[45]Mottling Assessment of Solid Printed Areas and Its Correlation to Perceived Uniformity (A. Sadovnikov, P. Salmela, L. Lensu, J.-K. Kamarainen, H. Kälviäinen), In 14th Scandinavian Conf. of Image Analysis (SCIA2005), 2005. [bibtex]
[44]Quantified and Perceived Unevenness of Solid Printed Areas (A. Sadovnikov, L. Lensu, J.-K. Kamarainen, H. Kälviäinen), In 10th Iberoamerican Congress on Pattern Recognition, 2005. [bibtex]
[43]Feature Representation and Discrimination Based on Gaussian Mixture Model Probability Densities -- Practices and Algorithms (P. Paalanen, J.-K. Kamarainen, J. Ilonen, H. Kälviäinen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2005. (Code: https://bitbucket.org/kamarain/gmmbayes-code) [bibtex]
[42]Fundamental Frequency and Global Gabor Features (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In Pattern Recognition and Image Analysis, volume 15, 2005. [bibtex]
[41]Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking (J.-K. Kamarainen, J. Ilonen, P. Paalanen, M. Hamouz, H. Kälviäinen, J. Kittler), In 14th Scandinavian Conf. of Image Analysis (SCIA2005), 2005. [bibtex]
[40]Intelligent Information Processing: Machine Vision and Pattern Recognition Applications (H. Kälviäinen, J.-K. Kamarainen), In Pattern Recognition and Image Analysis, volume 15, 2005. [bibtex]
[39]Toward Automatic Motor Condition Diagnosis (J. Ilonen, P. Paalanen, J.-K. Kamarainen, T. Lindh, J. Ahola, H. Kälviäinen, J. Partanen), In 14th Scandinavian Conf. of Image Analysis (SCIA2005), 2005. [bibtex]
[38] Diagnosis Tool for Motor Condition Monitoring (J. Ilonen, J.-K. Kamarainen, T. Lindh, J. Ahola, H. Kälviäinen, J. Partanen), In IEEE Transactions on Industry Applications, volume 41, 2005. (SJR: h-ind. 127; class. Q1; field rank. 10th (Industrial and Manufacturing Engineering)) [bibtex] [pdf]
[37]Efficient computation of Gabor features (J. Ilonen, J.-K. Kamarainen, H. Kälviäinen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2005. [bibtex]
[36] Feature-based affine-invariant localization of faces (M. Hamouz, J. Kittler, J.-K. Kamarainen, P. Paalanen, H. Kälviäinen, J. Matas), In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), volume 27, 2005. (SJR: h-ind. 241; class. Q1; field rank. 1st (Computer Vision and Pattern Recognition)) [bibtex] [pdf]
[35]Automated Pattern Recognition for the Detection of Diabetic Changes in Digital Fundus Images (J. Forsstrom, V. Kalesnykiene, M. Kuivalainen, I. Sorri, H. Uusitalo, J.-K. Kamarainen), In ARVO 2005 Annual Meeting, 2005. [bibtex]
[34] Thresholding Based Detection of Fine and Sparse Details (A. Drobchenko, J. Vartiainen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), In IAPR Conf. on Machine Vision Applications, 2005. [bibtex] [pdf]
[33]Thresholding Based Detection of Fine and Sparse Details (A. Drobchenko, J. Vartiainen, J.-K. Kamarainen, L. Lensu, H. Kälviäinen), Technical report, Department of Information Technology, Lappeenranta University of Technology, 2005. [bibtex]
2004
[32]Measuring Shiftability of Frames of Regular Translates (J. Sampo, J.-K. Kamarainen, M. Heiliö, H. Kälviäinen), In 6th Nordic Signal Processing Symposium, 2004. [bibtex]
[31] Simple Gabor Feature Space for Invariant Object Recognition (V. Kyrki, J.-K. Kamarainen, H. Kälviäinen), In Pattern Recognition Letters, volume 25, 2004. (SJR: h-ind. 102; class. Q1; field rank. 15th (Computer Vision and Pattern Recognition)) [bibtex] [pdf]
[30]Fundamental Frequency and Global Gabor Features (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In 7th Int. Conf. on Pattern Recognition and Image Analysis: New Information Technologies, volume 1, 2004. [bibtex]
[29]PAPVISION: Paper and Board Printability Tests by Machine Vision in the Paper Making and Printing Industry (H. Kälviäinen, A. Sadovnikov, P. Salmela, A. Drobchenko, J.-K. Kamarainen, L. Lensu, P. P. Saarinen, J. Vartiainen), In ECCV Workshop on Applications of Computer Vision, 2004. [bibtex]
[28]Intelligent Information Processing: Machine Vision and Pattern Recognition Applications (H. Kälviäinen, J.-K. Kamarainen), In 7th Int. Conf. on Pattern Recognition and Image Analysis: New Information Technologies, volume 3, 2004. [bibtex]
[27]Affine-Invariant Face Detection and Localization Using GMM-based Feature Detector and Enhanced Appearance Model (M. Hamouz, J. Kittler, J.-K. Kamarainen, P. Paalanen, H. Kälviäinen), In 6th Int. Conf. on Automatic Face and Gesture Recognition (FG2004), 2004. [bibtex]
2003
[26]Bearing Damage Detection Based on Statistical Discrimination of Stator Current (T. Lindh, J. Ahola, J.-K. Kamarainen, V. Kyrki, J. Partanen), In 4th IEEE Int. Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2003. [bibtex]
[25]Simple Gabor Feature Space for Invariant Object Recognition (V. Kyrki, J.-K. Kamarainen), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2003. [bibtex]
[24]Simple Gabor Feature Space for Invariant Object Recognition (V. Kyrki, J.-K. Kamarainen), In 5th Int. Conf. on Advanced Concepts for Intelligent Vision Systems Theory and Applications, 2003. [bibtex]
[23]Statistical Signal Discrimination for Condition Diagnosis (J.-K. Kamarainen, V. Kyrki, T. Lindh, J. Ahola, J. Partanen), In Finnish Signal Processing Symposium, 2003. [bibtex]
[22]Improving Similarity Measures of Histograms Using Smoothing Projections (J.-K. Kamarainen, V. Kyrki, J. Ilonen), In Pattern Recognition Letters, volume 24, 2003. [bibtex]
[21] Feature Extraction Using Gabor Filters (J.-K. Kamarainen), PhD thesis, Lappeenranta University of Technology, 2003. [bibtex] [pdf]
[20]The Global Diffusion of Internet and Wireless Subscriptions: A Neural Network Approach (J. Ilonen, K. Puumalainen, S. Sundqvist, J.-K. Kamarainen, H. Kälviäinen), In , 2003. [bibtex]
[19] Differential Evolution Training Algorithm for Feed-Forward Neural Networks (J. Ilonen, J.-K. Kamarainen, J. Lampinen), In Neural Processing Letters, volume 17, 2003. [bibtex] [pdf]
[18]Hypotheses-driven affine invariant localization of faces in verification systems (M. Hamouz, J. Kittler, J.-K. Kamarainen, H. Kälviäinen), In 4th Int. Conf. on the Audio- and Video-Based Biometric Person Authentication (AVBPA2003), 2003. [bibtex]
2002
[17]Forecasting the Critical Mass of Wireless Communications (S. Sundqvist, L. Frank, K. Puumalainen, J.-K. Kamarainen, S. Pitkänen), In Australian and New Zealand Marketing Academy Conf., 2002. [bibtex]
[16]Signal Discrimination Based on Power Spectrum of Filter Response (J.-K. Kamarainen, V. Kyrki, T. Lindh), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2002. [bibtex]
[15] Invariant Gabor Features for Face Evidence Extraction (J.-K. Kamarainen, V. Kyrki, M. Hamouz, J. Kittler, H. Kälviäinen), In IAPR Workshop on Machine Vision Applications, 2002. [bibtex] [pdf]
[14]Robustness of Gabor Feature Parameter Selection (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In IAPR Workshop on Machine Vision Applications, 2002. [bibtex]
[13]Noise Tolerant Object Recognition Using Gabor Filtering (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In 14th Int. Conf. on Digital Signal Processing, volume 2, 2002. [bibtex]
[12]Fundamental Frequency Gabor Filters for Object Recognition (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In 16th Int. Conf. on Pattern Recognition (ICPR2002), volume 1, 2002. [bibtex]
[11]Gabor Features for Invariant Object Recognition (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2002. [bibtex]
[10]Fundamental Frequency Gabor Filters for Object Recognition (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2002. [bibtex]
[9]Automatic Detection and Recognition of Hazardous Chemical Agents (J. Ilonen, J.-K. Kamarainen, H. Kälviäinen, O. Anttalainen), In 14th Int. Conf. on Digital Signal Processing, volume 2, 2002. [bibtex]
2001
[8]Neural Prediction of Hydrogen in Vacuum Tank Degassing (E. Saarelainen, J.-K. Kamarainen, H. Kälviäinen, R. Väinölä), In Iron & Steelmaker, volume 28, 2001. [bibtex]
[7]Content-Based Image Matching Using Gabor Filtering (V. Kyrki, J.-K. Kamarainen, H. Kälviäinen), In 3rd Int. Conf. on Advanced Concepts for Intelligent Vision Systems Theory and Applications, 2001. [bibtex]
[6]Invariant Shape Recognition using Global Gabor Features (V. Kyrki, J.-K. Kamarainen, H. Kälviäinen), In 12th Scandinavian Conf. on Image Analysis (SCIA2001), 2001. [bibtex]
[5]Similarity Measures for Ordered Histograms (J.-K. Kamarainen, V. Kyrki, H. Kälviäinen), In 12th Scandinavian Conf. on Image Analysis (SCIA2001), 2001. [bibtex]
2000
[4]Invariant Shape Recognition using Global Gabor Features (V. Kyrki, J.-K. Kamarainen, H. Kälviäinen), Technical report, Lappeenranta University of Technology, Department of Information Technology, 2000. [bibtex]
[3]Visual Quality Control of the Vacuum Tank Degassing (J.-K. Kamarainen, H. Kälviäinen, K. Terho, E. Saarelainen), In IFAC Workshop on Future Trends in Automation in Mineral and Metal Processing, 2000. [bibtex]
[2]Neural Prediction of Hydrogen in Vacuum Tank Degassing (J.-K. Kamarainen, H. Kälviäinen, E. Saarelainen, R. Väinölä), In 58th Electric Furnace Conference and 17th Process Technology Conf., 2000. [bibtex]
1999
[1]Teräksen vakuumikäsittelyn visuaalinen laadunarviointi (J.-K. Kamarainen), Master's thesis, Lappeenranta University of Technology, 1999. [bibtex]