Learning discriminative MspLBP features based on Ada-LDA for multi-class pattern classification

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2010, Pages 4803-4808

  An, Kwang Ho ^a   Chung, Myung Jin ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; CLASS PATTERNS; DETECTION RATES; FACE DATABASE; FACE DETECTION; FACE DETECTOR; FACE IMAGES; FACIAL EXPRESSION RECOGNITION; FALSE POSITIVE RATES; FRAMES PER SECONDS; LINEAR SUBSPACE; LOCAL BINARY PATTERNS; MULTI-CLASS; MULTISCALES; PERFORMANCE IMPROVEMENTS; REAL-TIME OPERATION; RECOGNITION RATES; TEST SETS; WITHIN-CLASS SCATTER MATRIX;

ADAPTIVE BOOSTING; DETECTORS; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; ROBOTICS;

FACE RECOGNITION;

EID: 77955809757     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509146     Document Type: Conference Paper

References (15)

1. E. Osuna, R. Freund, and F. Girosi, "Training support vector machines: an application to face detection," Int'l Conf. Computer Vision and Pattern Recognition, pp. 130-136, 1997.
2. H. A. Rowley, S. Baluja, and T. Kanade, "Neural network-based face detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 23-28, 1998.
3. K. K. Sung and T. Poggio, "Example-based learning for view-based human face detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no.1, pp. 39-51, 1998.
4. M. Turk and A. Pentland, "Eigenfaces for Recognition," J. Cognitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991.
5. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: recognition using class specific linear projection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, 1997.
6. H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, "Discriminative Common Vectors for Face Recognition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 1, Jan. 2005.
7. C. P. Papageorgiou, M. Oren, and T. Poggio, "A general framework for object detection," Int'l Conf. Computer Vision, pp. 555-562, 1998.
8. P. Viola and M. Jones, "Rapid object detection using a boosted cascade of simple features," Int'l Conf. Computer Vision and Pattern Recognition, pp. 511-518, 2001.
9. T. Ojala, M. Pietikainen, and D. Harwood, "A comparative study of texture measures with classification based on feature distributions," Pattern Recognition, vol. 29, no. 1, pp. 51-59, 1996.
10. T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, 2002.
11. T. Ahonen , A. Hadid , and M. Pietikainen, "Face recognition with local binary patterns," In Proc. European Conference on Computer Vision, pp. 469-481, 2004.
12. C. Shan and T. Gritti, "Learning discriminative LBP-histogram bins for facial expression recognition," In Proc. British Machine Vision Conference, 2008.
13. D. L. Swets and J. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 18, no. 8, pp. 831-836, 1996.
14. CBCL Face Database #1, MIT Center For Biological and Computation Learning, http://www.ai.mit.edu/projects/cbcl.
15. M. Lyons and S. Akamatsu, "Coding facial expressions with gabor wavelets," Int'l Conf. Automatic Face and Gesture Recognition, pp. 200-205, 1998.