NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 141-150

  Juefei Xu, Felix ^a   Pal, Dipan K ^a   Savvides, Marios ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Databases; Dictionaries; Face; Image reconstruction; Joints; Testing; Training

Indexed keywords

COMPUTER VISION; DATA HANDLING; DATABASE SYSTEMS; GLOSSARIES; IMAGE RECONSTRUCTION; INFRARED DEVICES; JOINTS (STRUCTURAL COMPONENTS); NEMATIC LIQUID CRYSTALS; PERSONNEL TRAINING; PHOTOMAPPING; SECURITY SYSTEMS; TESTING;

DICTIONARY LEARNING; FACE; FACE BIOMETRICS; MAPPING FUNCTIONS; MULTIPLE DOMAINS; REAL-WORLD SCENARIO; STATE OF THE ART; SURVEILLANCE CAMERAS;

FACE RECOGNITION;

EID: 84951934712     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301308     Document Type: Conference Paper

References (32)

1. M. Aharon, M. Elad, and A. Bruckstein. K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation. Signal Processing, IEEE Transactions on, 54(11):4311-4322, Nov 2006. 3
2. T. Bourlai and B. Cukic. Multi-spectral face recognition: Identification of people in difficult environments. In Intel-ligence and Security Informatics (ISI), 2012 IEEE Interna-tional Conference on, pages 196-201, June 2012. 2
3. Z. Cao and N. Schmid. Matching heterogeneous periocular regions: Short and long standoff distances. In Image Processing (ICIP), 2014 IEEE International Conference on, pages 4967-4971, Oct 2014. 2
4. T. Dhamecha, P. Sharma, R. Singh, and M. Vatsa. On Effectiveness of Histogram of Oriented Gradient Features for Visible to Near Infrared Face Matching. In Pattern Recogni-tion (ICPR), 2014 22nd International Conference on, pages 1788-1793, Aug 2014. 2, 7
5. D. Goswami, C. H. Chan, D. Windridge, and J. Kittler. Evaluation of face recognition system in heterogeneous environments (visible vs NIR). In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, pages 2160-2167, Nov 2011. 2
6. C.-A. Hou, M.-C. Yang, and Y.-C. Wang. Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition. In Pattern Recognition (ICPR), 2014 22nd Interna-tional Conference on, pages 3068-3073, Aug 2014. 1, 2
7. R. Jillela and A. Ross. Matching face against iris images using periocular information. In Image Processing (ICIP), 2014 IEEE International Conference on, pages 4997-5001, Oct 2014. 2
8. F. Juefei-Xu, M. Cha, J. L. Heyman, S. Venugopalan, R. Abiantun, and M. Savvides. Robust Local Binary Pattern Feature Sets for Periocular Biometric Identification. In Biomet-rics: Theory Applications and Systems (BTAS), 4th IEEE Int'l Conf. on, pages 1-8, sep 2010. 7
9. F. Juefei-Xu, M. Cha, M. Savvides, S. Bedros, and J. Trojanova. Robust Periocular Biometric Recognition Using Multi-level Fusion of Various Local Feature Extraction Techniques. In IEEE 17th International Conference on Digital Signal Processing (DSP), 2011. 7
10. F. Juefei-Xu, K. Luu, M. Savvides, T. Bui, and C. Suen. Investigating Age Invariant Face Recognition Based on Periocular Biometrics. In Biometrics (IJCB), 2011 International Joint Conference on, pages 1-7, Oct 2011. 7
11. F. Juefei-Xu, D. K. Pal, and M. Savvides. Hallucinating the Full Face from the Periocular Region via Dimensionally Weighted K-SVD. In Computer Vision and Pattern Recogni-tion Workshops (CVPRW), 2014 IEEE Conference on, June 2014. 7
12. F. Juefei-Xu, D. K. Pal, K. Singh, and M. Savvides. A Preliminary Investigation on the Sensitivity of COTS Face Recognition Systems to Forensic Analyst-style Face Processing for Occlusions. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on, June 2015. 2
13. F. Juefei-Xu and M. Savvides. Can Your Eyebrows Tell Me Who You Are? In Signal Processing and Communication Systems (ICSPCS), 2011 5th International Conference on, pages 1-8, Dec 2011. 2
14. F. Juefei-Xu and M. Savvides. Unconstrained Periocular Biometric Acquisition and Recognition Using COTS PTZ Camera for Uncooperative and Non-cooperative Subjects. In Applications of Computer Vision (WACV), 2012 IEEE Work-shop on, pages 201-208, Jan 2012. 7
15. F. Juefei-Xu and M. Savvides. An Augmented Linear Discriminant Analysis Approach for Identifying Identical Twins with the Aid of Facial Asymmetry Features. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on, pages 56-63, June 2013. 7
16. F. Juefei-Xu and M. Savvides. An Image Statistics Approach towards Efficient and Robust Refinement for Landmarks on Facial Boundary. In Biometrics: Theory, Applications and Systems (BTAS), 2013 IEEE Sixth International Conference on, pages 1-8, Sept 2013. 7
17. F. Juefei-Xu and M. Savvides. Subspace Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST's Face Recognition Grand Challenge. IEEE Trans. on Image Processing, 23(8):3490-3505, aug 2014. 7
18. F. Juefei-Xu and M. Savvides. Facial Ethnic Appearance Synthesis. In Computer Vision-ECCV 2014 Workshops, volume 8926 of Lecture Notes in Computer Science, pages 825-840. Springer International Publishing, 2015. 2
19. F. Juefei-Xu and M. Savvides. Weight-Optimal Local Binary Patterns. In Computer Vision-ECCV 2014 Workshops, volume 8926 of Lecture Notes in Computer Science, pages 148-159. Springer International Publishing, 2015. 2
20. N. Kalka, T. Bourlai, B. Cukic, and L. Hornak. Crossspectral face recognition in heterogeneous environments: A case study on matching visible to short-wave infrared imagery. In Biometrics (IJCB), 2011 International Joint Con-ference on, pages 1-8, Oct 2011. 2
21. B. Klare and A. Jain. Heterogeneous Face Recognition: Matching NIR to Visible Light Images. In Pattern Recogni-tion (ICPR), 2010 20th International Conference on, pages 1513-1516, Aug 2010. 2
22. Z. Lei and S. Li. Coupled Spectral Regression for matching heterogeneous faces. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 1123-1128, June 2009. 2
23. J. Li, Y. Jin, and Q. Ruan. Matching NIR face to VIS face using multi-feature based MSDA. In Signal Processing (ICSP), 2014 12th International Conference on, pages 1443-1447, Oct 2014. 2
24. S. Li, D. Yi, Z. Lei, and S. Liao. The CASIA NIR-VIS 2.0 Face Database. In Computer Vision and Pattern Recogni-tion Workshops (CVPRW), 2013 IEEE Conference on, pages 348-353, June 2013. 3, 4, 6, 7
25. S. Liu, D. Yi, Z. Lei, and S. Li. Heterogeneous face image matching using multi-scale features. In Biometrics (ICB), IAPR Int'l Conf. on, pages 79-84, March 2012. 2
26. F. Nicolo and N. Schmid. Long Range Cross-Spectral Face Recognition: Matching SWIR Against Visible Light Images. Information Forensics and Security, IEEE Transactions on, 7(6):1717-1726, Dec 2012. 2
27. M. Savvides and F. Juefei-Xu. Image Matching Using Subspace-Based Discrete Transform Encoded Local Binary Patterns, Sept. 2013. US Patent US 2014/0212044 A1. 7
28. K. Seshadri, F. Juefei-Xu, D. K. Pal, and M. Savvides. Driver Cell Phone Usage Detection on Strategic Highway Research Program (SHRP2) Face View Videos. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on, June 2015. 2
29. J. Yang, D. Zhang, J.-Y. Yang, and B. Niu. Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics. Pattern Analysis and Machine Intelligence, IEEE Transac-tions on, 29(4):650-664, April 2007. 7
30. J.-Y. Zhu, W.-S. Zheng, and J. Lai. Transductive VIS-NIR face matching. In Image Processing (ICIP), IEEE Interna-tional Conference on, pages 1437-1440, Sept 2012. 2
31. J.-Y. Zhu, W.-S. Zheng, J.-H. Lai, and S. Li. Matching NIR Face to VIS Face Using Transduction. Information Forensics and Security, IEEE Transactions on, 9(3):501-514, March 2014. 2
32. J. Zuo, F. Nicolo, N. Schmid, and S. Boothapati. Encoding, matching and score normalization for cross spectral face recognition: Matching SWIR versus visible data. In Bio-metrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on, pages 203-208, Sept 2012. 2