Benchmarking still-to-video face recognition via partial and local linear discriminant analysis on COX-S2V dataset

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7725 LNCS, Issue PART 2, 2013, Pages 589-600

  Huang, Zhiwu ^a,b   Shan, Shiguang ^a   Zhang, Haihong ^c   Lao, Shihong ^c   Kuerban, Alifu ^d   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c OMRON Social Solutions Co Ltd   (Japan)

^d XINJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROLLED ENVIRONMENT; EVALUATION PROTOCOL; EVALUATION RESULTS; GRAND CHALLENGE; LARGE-SCALE DATASET; NON-FRONTAL VIEWS; TYPICAL APPLICATION; VIDEO SURVEILLANCE;

BENCHMARKING; LIGHTING; SECURITY SYSTEMS; VIDEO CAMERAS;

FACE RECOGNITION;

EID: 84875894938     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37444-9_46     Document Type: Conference Paper

References (26)

1. Liu, X., Cheng, T.: Video-based face recognition using adaptive hidden markov models. In: CVPR, pp. 340-345 (2003)
2. Arandjelović, O., Shakhnarovich, G., Fisher, J., Cipolla, R., Darrell, T.: Face recognition with image sets using manifold density divergence. In: CVPR, vol. 1, pp. 581-588 (2005)
3. Kim, T., Kittler, J., Cipolla, R.: Discriminative learning and recognition of image set classes using canonical correlations. IEEE T-PAMI 29, 1005-1018 (2007)
4. Cevikalp, H., Triggs, B.: Face recognition based on image sets. In: CVPR, pp. 2567-2573 (2010)
5. Wang, R., Guo, H., Davis, L., Dai, Q.: Covariance discriminative learning: A natural and efficient approach to image set classification. In: CVPR, pp. 2496-2503 (2012)
6. Zhou, S., Krueger, V., Chellappa, R.: Probabilistic recognition of human faces from video. CVIU 91, 214-245 (2003)
7. Zhou, S., Chellappa, R.: Beyond one still image: Face recognition from multiple still images or a video sequence. In: Face Processing: Advanced Modeling and Methods, pp. 547-567 (2005)
8. Hwang, W., Huang, X., Noh, K., Kim, J.: Face recognition system using extended curvature gabor classifier bunch for low-resolution face image. In: CVPRW on Biometrics, pp. 15-22 (2011)
9. Baker, S., Kanade, T.: Hallucinating faces. In: AFGR, pp. 83-88 (2000)
10. Liu, C., Shum, H., Zhang, C.: A two-step approach to hallucinating faces: Global parametric model and local nonparametric model. In: CVPR (2001)
11. Yang, J., Wang, Z., Lin, Z., Cohen, S., Huang, T.: Coupled dictionary training for image super-resolution. IEEE T-IP 21, 3467-3478 (2012)
12. Gunturk, B., Batur, A., Altunbasak, Y., Hayes III, M., Mersereau, R.: Eigenface-domain super-resolution for face recognition. IEEE T-IP 12, 597-606 (2003)
13. Hennings-Yeomans, P., Baker, S., Kumar, B.: Simultaneous super-resolution and feature extraction for recognition of low-resolution faces. In: CVPR (2008)
14. Li, B., Chang, H., Shan, S., Chen, X.: Low-resolution face recognition via coupled locality preserving mappings. Signal Processing Letters 17, 20-23 (2010)
15. Huang, H., He, H.: Super-resolution method for face recognition using nonlinear mappings on coherent features. IEEE T-NN 22, 121-130 (2011)
16. Arandjelović, O., Cipolla, R.: A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution. In: ICCV (2007)
17. Jia, K., Gong, S.: Generalized face super-resolution. IEEE T-IP 17, 873-886 (2008)
18. He, X., Niyogi, P.: Locality preserving projections. In: Advances in Neural Information Processing Systems, vol. 16, pp. 153-160 (2004)
19. Huang, G., Mattar, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: A database for studying face recognition in unconstrained environments. In: Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition (2008)
20. Fisher, R.: The use of multiple measurements in taxonomic problems. Annals of Human Genetics 7, 179-188 (1936)
21. Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE T-PAMI 19, 711-720 (1997)
22. Sugiyama, M.: Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. The Journal of Machine Learning Research 8, 1027-1061 (2007)
23. Perona, P., Zelnik-Manor, L.: Self-tuning spectral clustering. In: Advances in Neural Information Processing Systems, vol. 17, pp. 1601-1608 (2004)
24. Lin, D., Tang, X.: Inter-modality Face Recognition. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 13-26. Springer, Heidelberg (2006)
25. Jolliffe, I.: MyiLibrary: Principal component analysis. vol, 2. Wiley Online Library (2002)
26. Lu, J., Tan, Y.: Locality repulsion projections for image-to-set face recognition. In: ICME, pp. 1-6 (2011)