Recognizing 3-D objects with linear support vector machines

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

Volumn 1407, Issue , 1998, Pages 469-483

  Pontil, Massimiliano ^a   Rogai, Stefano ^b   Verri, Alessandro ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF GENOA   (Italy)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FEATURE EXTRACTION; GEOMETRY; OBJECT RECOGNITION;

3D OBJECT; 3D OBJECT RECOGNITION; HIGH DIMENSIONS; LINEAR SUPPORT VECTOR MACHINES; LINEAR SVM; RECOGNITION SYSTEMS; SUPPORT VECTOR;

SUPPORT VECTOR MACHINES;

EID: 84957800235     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0054759     Document Type: Conference Paper

References (12)

1. Bazaraa, M., Shetty, C.M.: Nonlinear programming. (John Wiley, New York, 1979).
2. Brunelli, R., Poggio, T.: Face Recognition: Features versus Templates. IEEE Trans. on PAMI, 15 (1993) 1042-1052
3. Cortes C., Vapnik, V.N.: Support Vector Network. Machine learning 20 (1995) 1-25
4. Edelman, S., Bulthoff, H., Weinshall, D.: Stimulus Famifiarity Determines Recognition Strategy for Novel 3-D Objects. AI Memo No. 1138, MIT, Cambridge (1989)
5. Murase, N., Nayar, S.K.: Visual Learning and Recognition of 3-D Object from Appearance. Int. J. Comput. Vision 14 (1995) 5-24
6. Ostma, E., Freund, R., Girosi, F.: Training Support Vector Machines: an Applications to Face Detection. Proc. Int. Conf. Computer Vision and Pattern Recognition, Puerto Rico, (1997)
7. Poggio, T., Edelman, S.: A Network that Learns to Recognize Three-Dimensional Objects. Nature 343 (1990) 263-266
8. Pontil, M., Verri, A.: Properties of Support Vector Machines. Neural Computation 10 (1998) 977-966
9. Pontil, M., Verri, A.: Support Vector Machines for 3-D Objects Recognition. IEEE Trans. on PAMI (to appear)
10. Tarr, M., Pinker, S.: Mental Rotation and Orientation-Dependence in Shape Recognition. Cognitive Psychology 21 (1989) 233-282
11. Vapnik, V.N., Chervonenkis, A.J.: On the uniform convergence of relative frequencies of events to their probabilities. Theory Probab Appl. 16 (1971) 264-280
12. Vapnik, V.N.: The Nature of Statistical Learning Theory. (Springer-Verlag, New York, 1995).