Object recognition by combining paraperspective images

International Journal of Computer Vision

Volumn 19, Issue 2, 1996, Pages 181-201

  Sugimoto, Akihiro ^a,b  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b HITACHI LTD   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER VISION; IMAGING SYSTEMS; THREE DIMENSIONAL;

AFFINE TRANSFORMATION; PARAPERSPECTIVE PROJECTION; REAL IMAGES; SYNTHETIC IMAGES;

OBJECT RECOGNITION;

EID: 0030211613     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF00055804     Document Type: Article

References (24)

1. Agin, G.J. and Binford, T.O. 1976. Computer description of curved objects. IEEE Trans. on Computers, 25:439-449.
2. Aloimonos, J. 1989. Shape from texture. Biological Cybernetics, 58(5):345-360.
3. Aloimonos, J. and Basu, A. 1986. Shape and 3-D motion from contour without point to point correspondence: General principles. In Proc. of CVPR, pp. 518-527.
4. Besl, P.J. and Jain, R.C. 1985. Three-dimensional object recognition. ACM Computing Surveys, 1(17):75-145.
5. Binford, T.O. 1971. Visual perception by computer. In Proc. IEEE Conf. on Systems and Control.
6. Burns, J.B., Weiss, R.S., and Riseman, E.M. 1993. View variation of point-set and line-segment features. IEEE Trans. on PAMI, 15(1):51-68.
7. Duda, R.O. and Hart, P.E. 1973. Pattern Classification and Scene Analysis, Wiley.
8. Marr, D. and Nishihara, H.K. 1978. Representation and recognition of the spatial organization of three-dimensional shapes. Proc. of R. Soc. Lond. B, 100:269-294.
9. Moses, Y. and Ullman, S. 1992. Limitations of non model-based recognition systems. In Proc. of the 2nd ECCV, pp. 820-828.
10. Mundy, J.L. and Zisserman, A. (Eds.) 1992. Geometric Invariance in Computer Vision, MIT Press.
11. Ohta, Y., Maenobu, K., and Sakai, T. 1981. Obtaining surface orientation from texels under perspective projection. In Proc. of the 7th IJCAI, pp. 746-751.
12. Poelman, C.J. and Kanade, T. 1992. A paraperspective factorization method for shape and motion recovery. Technical Report, CMU-CS-92-208, School of Computer Science, Carnegie Mellon Univ. PA.
13. Poelman, C.J. and Kanade, T. 1994. A paraperspective factorization method for shape and motion recovery. In Proc. of the 3rd ECCV, 2:97-108.
14. Poggio, T. 1990. 3D object recognition: On a result of Basri and Ullman. IRST Technical Report, 9005-03, Trento, Italy.
15. Poggio, T. and Edelman, S. 1990. A network that learns to recognize three-dimensional objects. Nature, 343(6225):263-266.
16. Rothwell, C.A., Forsyth, D.A., Zisserman, A., and Mundy, J.L. 1993. Extracting projective structure from single perspective views of 3D point sets. In Proc. of ICCV4, pp. 573-582.
17. Soroka, B.I. and Bajcsy, R.K. 1976. Generalized cylinders from serial sections. In Proc. of the 3rd Int. J. Conf. on Pattern Recognition, pp. 734-735.
18. Sugimoto, A. 1993. Projective invariant of lines on adjacent planar regions in a single view. ATR Technical Report, TR-H-034, ATR, Kyoto, Japan.
19. Sugimoto, A. 1994. Geometric invariant of noncoplanar lines in a single view. In Proc. of the 12th Int. Conf. on Pattern Recognition, 1:190-195.
20. Sugimoto, A. 1995. Invariants within the context of vision and their applications (in Japanese). SIG-CV-93, Information Processing Society of Japan, pp. 19-34.
21. Sugimoto, A. and Murota, K. 1993a. 3D object recognition by combination of perspective images. In Proc. of SPIE Conf. 1904:183-195.
22. Sugimoto, A. and Murota, K. 1993b. Recognition by combination of paraperspective images. In Proc. of The 8th Scandinavian Conf. on Image Analysis, 2:1161-1169.
23. Ullman, S. and Basri, R. 1991. Recognition by linear combinations of models. IEEE Trans. on PAMI, 13(10):992-1006.
24. Weiss, I. 1993. Geometric invariants and object recognition. Int. J. of Computer Vision, 10(3):207-231.