A Bayesian similarity measure for direct image matching

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 1996, Pages 350-358

  Moghaddam, Baback ^a   Nastar, Chahab ^b   Pentland, Alex ^a  

^a MIT MEDIA LAB   (United States)

^b INRIA ROCQUENCOURT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE MATCHING; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

A-POSTERIORI PROBABILITIES; BAYESIAN ANALYSIS; DEFORMABLE MATCHING; FERET FACE DATABASE; IMAGE DEFORMATION; INTENSITY DIFFERENCE; OBJECT APPEARANCE; SIMILARITY MEASURE;

DEFORMATION;

EID: 84898808599     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546848     Document Type: Conference Paper

References (15)

1. K. J. Bathe. Finite Element Procedures in Engineering Analysis. Prentice-Hall, 1982.
2. David Beymer. Vectorizing face images by interleaving shape and texture computations. A.I. Memo No. 1537, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 1995.
3. I. Craw and P. Cameron. Face recognition by computer. In D. Hogg and R. Boyle, editors, Proc. British Machine Vision Conference, pages 498-507. Springer-Verlag, 1992.
4. I. Craw and et al. Automatic face recognition: Combining configuration and texture. In Martin Bichsel, editor, Proc. Int'I Workshop on Automatic Face and Gesture Recognition, Zurich, 1995.
5. B.K.P. Horn and G. Schunck. Determining optical flow. Artificial Intelligence, 17:185-203, 1981.
6. I.T. Jolliffe. Principal Component Analysis. Springer-Verlag, New York, 1986.
7. A. Lanitis, C. J. Taylor, and T. F. Cootes. A unified approach to coding and interpreting face images. In IEEE Proceedings of the Fifth International Conference on Computer Vision (ICCV'95), Cambridge, MA, June 1995.
8. B. Moghaddam and A. Pentland. Face recognition using view-based and modular eigenspaces. Automatic Systems for the Identification and Inspection of Humans, 2277,1994.
9. B. Moghaddam and A. Pentland. Probabilistic visual learning for object detection. In IEEE Proceedings of the Fifth International Conference on Computer Vision (ICCV'95), Cambridge, USA, June 1995.
10. C. Nastar. Vibration modes for nonrigid motion analysis in 3D images. In Proceedings of the Third European Conference on Computer Vision (ECCV '94), Stockholm, May 1994.
11. C. Nastar and N. Ayache. Fast segmentation, tracking, and analysis of deformable objects. In IEEE Proceedings of the Third International Conference on Computer Vision (ICCV'93), Berlin, May 1993.
12. C. Nastar and A. Pentland. Matching and recognition using deformable intensity surfaces. In IEEE International Symposium on Computer Vision, Coral Gables, USA, November 1995.
13. A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modelling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-13(7):715-729, July 1991.
14. J.Y.A. Wang and E.H. Adelson. Representing moving images with layers. IEEE Transactions on Image Processing, 3(5):625-638, September 1994.
15. J.J. Weng. On comprehensive visual learning. In Proc. NSF/ARPA Workshop on Performance vs. Methodology in Computer Vision, Seattle, WA, June 1994.