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Matti Pietikäinen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xiaoyi Feng, Matti Pietikäinen, Abdenour Hadid, Hongmei Xie
    A Novel Real Time System for Facial Expression Recognition. [Citation Graph (0, 0)][DBLP]
    ACII, 2005, pp:248-256 [Conf]
  2. Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Matti Pietikäinen
    Techniques for the Automated Testing of Document Analysis Algorithms. [Citation Graph (0, 0)][DBLP]
    BSDIA, 1997, pp:201-212 [Conf]
  3. Jaakko J. Sauvola, Hannu Kauniskangas, David S. Doermann, Christian Shin, M. Koivusaari, Matti Pietikäinen
    Graphical Tools and Techniques for Querying Document Image Databases. [Citation Graph (0, 0)][DBLP]
    BSDIA, 1997, pp:213-224 [Conf]
  4. Abdenour Hadid, Matti Pietikäinen, Timo Ahonen
    A Discriminative Feature Space for Detecting and Recognizing Faces. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:797-804 [Conf]
  5. Timo Ahonen, Abdenour Hadid, Matti Pietikäinen
    Face Recognition with Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2004, pp:469-481 [Conf]
  6. Timo Ojala, Matti Pietikäinen, Topi Mäenpää
    Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    ECCV (1), 2000, pp:404-420 [Conf]
  7. Olga Kouropteva, Oleg Okun, Matti Pietikäinen
    Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:229-234 [Conf]
  8. Abdenour Hadid, Matti Pietikäinen
    From Still Image to Video-Based Face Recognition: An Experimental Analysis. [Citation Graph (0, 0)][DBLP]
    FGR, 2004, pp:813-818 [Conf]
  9. Guoying Zhao, Guoyi Liu, Hua Li, Matti Pietikäinen
    3D Gait Recognition Using Multiple Cameras. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:529-534 [Conf]
  10. Olga Kouropteva, Oleg Okun, Matti Pietikäinen
    Selection of the Optimal Parameter value for the Locally Linear Embedding Algorithm. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:359-363 [Conf]
  11. Juha Röning, Mikko Lindholm, Matti Pietikäinen
    A Computer-Controlled Test Vehicle for Robot Vision. [Citation Graph (0, 0)][DBLP]
    IAS, 1986, pp:533-539 [Conf]
  12. Olga Kouropteva, Oleg Okun, Matti Pietikäinen
    Supervised Locally Linear Embedding Algorithm for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:386-394 [Conf]
  13. Dick de Ridder, Olga Kouropteva, Oleg Okun, Matti Pietikäinen, Robert P. W. Duin
    Supervised Locally Linear Embedding. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:333-341 [Conf]
  14. Timo Ojala, Matti Pietikäinen, Topi Mäenpää
    A Generalized Local Binary Pattern Operator for Multiresolution Gray Scale and Rotation Invariant Texture Classification. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:397-406 [Conf]
  15. Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola
    Robust Skew Estimation on Low-Resolution Document Images. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:621-624 [Conf]
  16. Matti Pietikäinen, Oleg Okun
    Edge-Based Method for Text Detection from Complex Document Images. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:286-291 [Conf]
  17. Jaakko J. Sauvola, Sami Haapakoski, Hannu Kauniskangas, Tapio Seppänen, Matti Pietikäinen, David S. Doermann
    A distributed management system for testing document image analysis algorithms. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1997, pp:989-995 [Conf]
  18. Jaakko J. Sauvola, Matti Pietikäinen
    Page segmentation and classification using fast feature extraction and connectivity analysis. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1995, pp:1127-1131 [Conf]
  19. Jaakko J. Sauvola, Tapio Seppänen, Sami Haapakoski, Matti Pietikäinen
    Adaptive Document Binarization. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1997, pp:147-152 [Conf]
  20. Timo Ojala, Matti Pietikäinen
    Unsupervised Texture Segmentation Using Feature Distributions. [Citation Graph (0, 0)][DBLP]
    ICIAP (1), 1997, pp:311-318 [Conf]
  21. Matti Pietikäinen
    Detection of skin color under changing illumination: a comparative study. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2003, pp:652-657 [Conf]
  22. Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen
    View-based recognition of 3D-textured surfaces. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2003, pp:530-535 [Conf]
  23. Xiaoyi Feng, Abdenour Hadid, Matti Pietikäinen
    A Coarse-to-Fine Classification Scheme for Facial Expression Recognition. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:668-675 [Conf]
  24. Timo Ahonen, Matti Pietikäinen, Abdenour Hadid, Topi Mäenpää
    Face Recognition Based on the Appearance of Local Regions. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:153-156 [Conf]
  25. Abdenour Hadid, Olga Kouropteva, Matti Pietikäinen
    Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2002, pp:111-114 [Conf]
  26. Abdenour Hadid, Matti Pietikäinen
    Selecting Models from Videos for Appearance-Based Face Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:304-308 [Conf]
  27. Abdenour Hadid, Matti Pietikäinen
    A Hybrid Approach to Face Detection under Unconstrained Environments. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:227-230 [Conf]
  28. Abdenour Hadid, Matti Pietikäinen, Birgitta Martinkauppi
    Color-Based Face Detection Using Skin Locus Model and Hierarchical Filtering. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2002, pp:196-200 [Conf]
  29. Topi Mäenpää, Timo Ojala, Matti Pietikäinen, Soriano Maricor
    Robust Texture Classification by Subsets of Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3947-3950 [Conf]
  30. Topi Mäenpää, Matti Pietikäinen, Timo Ojala
    Texture Classification by Multi-Predicate Local Binary Pattern Operators. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3951-3954 [Conf]
  31. Topi Mäenpää, Matti Pietikäinen, Jaakko Viertola
    Separating Color and Pattern Information for Color Texture Discrimination. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2002, pp:668-671 [Conf]
  32. Timo Ojala, Topi Mäenpää, Matti Pietikäinen, Jaakko Viertola, Juha Kyllönen, Sami Huovinen
    Outex- New Framework for Empirical Evaluation of Texture Analysis Algorithms. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2002, pp:701-706 [Conf]
  33. Oleg Okun, Matti Pietikäinen
    Automatic Ground-Truth Generation for Skew-Tolerance Evaluation of Document Layout Analysis Methods. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:4376-4379 [Conf]
  34. Oleg Okun, Yu Yan, Matti Pietikäinen
    Robust Text Detection from Binarized Document Images. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:61-64 [Conf]
  35. Guoying Zhao, Li Cui, Hua Li, Matti Pietikäinen
    Gait Recognition Using Fractal Scale and Wavelet Moments. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2006, pp:453-456 [Conf]
  36. Guoying Zhao, Matti Pietikäinen
    Local Binary Pattern Descriptors for Dynamic Texture Recognition. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:211-214 [Conf]
  37. Marko Heikkilä, Matti Pietikäinen, Cordelia Schmid
    Description of Interest Regions with Center-Symmetric Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    ICVGIP, 2006, pp:58-69 [Conf]
  38. Xiaoyi Feng, Li-ping Yang, Zhi Dang, Matti Pietikäinen
    Eyes Location Using a Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:474-479 [Conf]
  39. Matti Pietikäinen, Abdenour Hadid
    Texture Features in Facial Image Analysis. [Citation Graph (0, 0)][DBLP]
    IWBRS, 2005, pp:1-8 [Conf]
  40. Xiaoyi Feng, Jie Cui, Matti Pietikäinen, Abdenour Hadid
    Real Time Facial Expression Recognition Using Local Binary Patterns and Linear Programming. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:328-336 [Conf]
  41. Abdenour Hadid, Matti Pietikäinen
    Efficient Locally Linear Embeddings of Imperfect Manifolds. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:188-201 [Conf]
  42. Olga Kouropteva, Oleg Okun, Matti Pietikäinen
    Incremental Locally Linear Embedding Algorithm. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:521-530 [Conf]
  43. Topi Mäenpää, Matti Pietikäinen
    Multi-scale Binary Patterns for Texture Analysis. [Citation Graph (0, 0)][DBLP]
    SCIA, 2003, pp:885-892 [Conf]
  44. Matti Pietikäinen
    Image Analysis with Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:115-118 [Conf]
  45. Valtteri Takala, Timo Ahonen, Matti Pietikäinen
    Block-Based Methods for Image Retrieval Using Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:882-891 [Conf]
  46. Markus Turtinen, Topi Mäenpää, Matti Pietikäinen
    Texture Classification by Combining Local Binary Pattern Features and a Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    SCIA, 2003, pp:1162-1169 [Conf]
  47. Oleg Okun, Matti Pietikäinen, Jaakko J. Sauvola
    Document skew estimation without angle range restriction. [Citation Graph (0, 0)][DBLP]
    IJDAR, 1999, v:2, n:2-3, pp:132-144 [Journal]
  48. Elzbieta Marsylaec, Matti Pietikäinen
    Some Aspects of RGB Vision and Its Applications in Industry. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:1, pp:55-72 [Journal]
  49. Timo Ojala, Matti Pietikäinen, Jarkko Nisula
    Determining Composition of Grain Mixtures by Texture Classification Based on Feature Distributions. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1996, v:10, n:1, pp:73-82 [Journal]
  50. Topi Mäenpää, Jaakko Viertola, Matti Pietikäinen
    Optimising Colour and Texture Features for Real-time Visual Inspection. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2003, v:6, n:3, pp:169-175 [Journal]
  51. Marko Heikkilä, Matti Pietikäinen
    A Texture-Based Method for Modeling the Background and Detecting Moving Objects. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:4, pp:657-662 [Journal]
  52. Hannu Kauppinen, Tapio Seppänen, Matti Pietikäinen
    An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1995, v:17, n:2, pp:201-207 [Journal]
  53. Timo Ojala, Matti Pietikäinen, Topi Mäenpää
    Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:7, pp:971-987 [Journal]
  54. Timo Ahonen, Abdenour Hadid, Matti Pietikäinen
    Face Description with Local Binary Patterns: Application to Face Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:12, pp:2037-2041 [Journal]
  55. Guoying Zhao, Matti Pietikäinen
    Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:6, pp:915-928 [Journal]
  56. Olga Kouropteva, Oleg Okun, Matti Pietikäinen
    Incremental locally linear embedding. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2005, v:38, n:10, pp:1764-1767 [Journal]
  57. Topi Mäenpää, Matti Pietikäinen
    Classification with color and texture: jointly or separately? [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:8, pp:1629-1640 [Journal]
  58. Timo Ojala, Matti Pietikäinen
    Unsupervised texture segmentation using feature distributions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:3, pp:477-486 [Journal]
  59. Timo Ojala, Matti Pietikäinen, David Harwood
    A comparative study of texture measures with classification based on featured distributions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1996, v:29, n:1, pp:51-59 [Journal]
  60. Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen
    Texture discrimination with multidimensional distributions of signed gray-level differences. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:3, pp:727-739 [Journal]
  61. Matti Pietikäinen, Tomi Nurmela, Topi Mäenpää, Markus Turtinen
    View-based recognition of real-world textures. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:2, pp:313-323 [Journal]
  62. Matti Pietikäinen, Timo Ojala, Zelin Xu
    Rotation-invariant texture classification using feature distributions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:1, pp:43-52 [Journal]
  63. Matti Pietikäinen, Azriel Rosenfeld, Ingrid Walter
    Split-and-link algorithms for image segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1982, v:15, n:4, pp:287-298 [Journal]
  64. Jaakko J. Sauvola, Matti Pietikäinen
    Adaptive document image binarization. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2000, v:33, n:2, pp:225-236 [Journal]
  65. David Harwood, Timo Ojala, Matti Pietikäinen, Shalom Kelman, Larry S. Davis
    Texture classification by center-symmetric auto-correlation, using Kullback discrimination of distributions. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1995, v:16, n:1, pp:1-10 [Journal]
  66. Topi Mäenpää, Markus Turtinen, Matti Pietikäinen
    Real-time surface inspection by texture. [Citation Graph (0, 0)][DBLP]
    Real-Time Imaging, 2003, v:9, n:5, pp:289-296 [Journal]
  67. Abdenour Hadid, Matti Pietikäinen, Stan Z. Li
    Learning Personal Specific Facial Dynamics for Face Recognition from Videos. [Citation Graph (0, 0)][DBLP]
    AMFG, 2007, pp:1-15 [Conf]
  68. Valtteri Takala, Matti Pietikäinen
    Multi-Object Tracking Using Color, Texture and Motion. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  69. Guoying Zhao, Matti Pietikäinen
    Dynamic Texture Recognition Using Volume Local Binary Patterns. [Citation Graph (0, 0)][DBLP]
    WDV, 2006, pp:165-177 [Conf]
  70. Matti-Antero Okkonen, Vili Kellokumpu, Matti Pietikäinen, Janne Heikkilä
    A Visual System for Hand Gesture Recognition in Human-Computer Interaction. [Citation Graph (0, 0)][DBLP]
    SCIA, 2007, pp:709-718 [Conf]

  71. A New Gabor Phase Difference Pattern for Face and Ear Recognition. [Citation Graph (, )][DBLP]


  72. Dynamic textures for human movement recognition. [Citation Graph (, )][DBLP]


  73. Manifold Learning for Video-to-Video Face Recognition. [Citation Graph (, )][DBLP]


  74. A robust descriptor based on Weber's Law. [Citation Graph (, )][DBLP]


  75. Learning mappings for face synthesis from near infrared to visual light images. [Citation Graph (, )][DBLP]


  76. Gabor volume based local binary pattern for face representation and recognition. [Citation Graph (, )][DBLP]


  77. Pixelwise Local Binary Pattern Models of Faces Using Kernel Density Estimation. [Citation Graph (, )][DBLP]


  78. Manifold Learning for Gender Classification from Face Sequences. [Citation Graph (, )][DBLP]


  79. Dynamic Texture Based Gait Recognition. [Citation Graph (, )][DBLP]


  80. Dynamic texture synthesis using a spatial temporal descriptor. [Citation Graph (, )][DBLP]


  81. Experiments with Facial Expression Recognition using Spatiotemporal Local Binary Patterns. [Citation Graph (, )][DBLP]


  82. Unsupervised dynamic texture segmentation using local spatiotemporal descriptors. [Citation Graph (, )][DBLP]


  83. Combining motion and appearance for gender classification from video sequences. [Citation Graph (, )][DBLP]


  84. Facial expression recognition from near-infrared video sequences. [Citation Graph (, )][DBLP]


  85. A Bayesian Local Binary Pattern texture descriptor. [Citation Graph (, )][DBLP]


  86. Multi-band Gradient Component Pattern (MGCP): A New Statistical Feature for Face Recognition. [Citation Graph (, )][DBLP]


  87. Weight-Based Facial Expression Recognition from Near-Infrared Video Sequences. [Citation Graph (, )][DBLP]


  88. Rotation Invariant Image Description with Local Binary Pattern Histogram Fourier Features. [Citation Graph (, )][DBLP]


  89. A Framework for Analyzing Texture Descriptors. [Citation Graph (, )][DBLP]


  90. A Feature Guided Particle Filter for Robust Handtracking. [Citation Graph (, )][DBLP]


  91. Texture Based Description of Movements for Activity Analysis. [Citation Graph (, )][DBLP]


  92. Visual Characterization of Paper Using Isomap and Local Binary Patterns. [Citation Graph (, )][DBLP]


  93. Human Activity Recognition Using Sequences of Postures. [Citation Graph (, )][DBLP]


  94. Improving Rotation Invariance of the Volume Local Binary Pattern Operator. [Citation Graph (, )][DBLP]


  95. Visual Inspection of Parquet Slabs by Combining Color and Texture. [Citation Graph (, )][DBLP]


  96. A System for Recognizing Forms and Characters on Cylindrical Objects. [Citation Graph (, )][DBLP]


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