Silhouette recognition using high-resolution pursuit

Pattern Recognition

Volumn 32, Issue 5, 1999, Pages 753-771

  Jaggi, Seema ^a   Karl, W Clem ^b   Mallat, Stéphane G ^c,d   Willsky, Alan S ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Boston University   (United States)

^c ECOLE POLYTECHNIQUE   (France)

^d NEW YORK UNIVERSITY   (United States)

Author keywords

Adaptive approximation; Centroidal distance profile; High resolution pursuit; Object recognition; Silhouette recognition

Indexed keywords

ADAPTIVE ALGORITHMS; APPROXIMATION THEORY; FEATURE EXTRACTION; FOURIER TRANSFORMS; MATHEMATICAL MODELS; MILITARY AIRCRAFT;

CENTROIDAL DISTANCE PROFILE; HIGH RESOLUTION PURSUIT; SILHOUETTE RECOGNITION;

OBJECT RECOGNITION;

EID: 0033133147     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(98)00112-5     Document Type: Article

References (26)

1. [1] C. Richard, H. Hemami, Identification of three-dimensional objects using Fourier descriptors of the boundary curve, IEEE Trans. Systems Man Cybernet. SMC-4 (4) (1974) 371-378.
2. [2] G.N. Bebis, G.M. Papadourakis, Object recognition using invariant object boundary representations and neural network models, Pattern Recognition 25 (1) (1992) 25-44.
3. [3] Gil Ettinger, Hierarchical object recognition using libraries of parameterized model sub-parts, Master's Thesis, MIT, 1987.
4. [4] S. Dubois, F. Glanz, An autoregressive model approach to two-dimensional shape classification, IEEE Trans. Pattern Analy. Mach. Intell. PAMI-8 (1986) 55-66.
5. [5] C.T. Zahn, R.Z. Roskies, Fourier descriptors for plane closed curves, IEEE Trans. Comput. C-21 (3) (1972) 269-281.
6. [6] C.C. Lin, R. Chellappa, Gasification of partial 2D shapes using fourier descriptors, IEEE Trans. Pattern Analy. Mach. Intell. PAMI-9 (5) (1987) 686-690.
7. [7] J. Gorman, R. Mitchell, F. Kuhl, Partial shape recognition using dynamic programming, IEEE Trans. Pattern Analy. Mach. Intell. 10 (2) (1988) 257-266.
8. [8] H. Kauppinen, T. Seppanen, M. Pietikainen, An experimental comparison of autoregressive and Fourier-based descriptors in 2D shape classification, IEEE Trans. Pattern Analy. Mach. Intell. 17 (2) (1995) 201-207.
9. [9] S. Jaggi, Multiscale geometric feature extraction and object recognition, Ph.D. Thesis, Massachusetts Institute of Technology, 1997.
10. [10] S. Jaggi, C. Karl, S. Mallat, A. Willsky, High resolution for feature extraction, Appl. Comput. Harmonic Anal., 1996, submitted.
11. [11] S.O. Belkasim, M. Shridhar, M. Ahmadi, Pattern recognition with moment invariants: A comparative study and new results, Pattern Recognition 24 (1991) 1117-1138.
12. [12] H.-C. Liu, M.D. Srinath, Partial shape classification using contour matching in distance transformation, IEEE Trans. Pattern Analy. Mach. Intell. 12 (11) (1990) 1072-1079.
13. [13] D. Marr, E. Hildreth, Theory of edge detection, Proc. Roy. Soc. London (1980) 182-217 .
14. [14] J. Canny, A computational approach to edge detection, IEEE Trans. Pattern Analy. Mach. Intell. 8 (6) (1986) 679-698.
15. [15] R. Deriche, Fast algorithms for low-level vision, IEEE Trans. Pattern Analy. Mach. Intell. 12 (1) (1990) 78-87.
16. [16] P. Fua, Y. Leclerc, Model driven edge detection, Mach. Vision Appl. 3 (1990) 45-56.
17. [17] Z. Wu, R. Leahy, An optimal graph theoretic approach to data clustering: Theory and its application to image segmentation, IEEE Trans. Pattern Analy. Mach. Intell. 15 (11) (1993) 1101-1113.
18. [18] A. Amini, T. Weymouth, R. Jain, Using dynamic programming for solving variational problems in vision, IEEE Trans. Pattern Analy. Mach. Intell. 12 (9) (1990) 855-867.
19. [19] Z. You, A.K. Jain, Performance evaluation of shape matching via chord length distribution, Comput. Vision Graphics and Image Process. 28, 1984.
20. [20] R. Duda, P. Hart, Pattern Classification and Scene Analysis, J. Wiley, New York, 1973.
21. [21] I. Daubechies, Ten Lectures on Wavelets. SIAM Philadelphia, 1992.
22. [22] S. Mallat, Z. Zhang, Matching pursuit with time-frequency dictionaries, IEEE Trans. Signal Process. 1993.
23. [23] S. Chen, D. Donoho, Atomic decomposition by basis pursuit, Technical report, Statistics Dept, Stanford University, May 1995. Available via ftp at playfair.stanford.edu.
24. [24] A. Viterbi, Phase-locked loop dynamics in the presence of noise by Fokker-Plank techniques, Proc. IEEE (1963).
25. [25] H.V. Trees, Detection, Estimation and Modulation Theory. Wiley, New York, 1968.
26. [26] C. Bregler, M.S. Snakes, Technical Report IRC 1995-017, Interval Research Corporation, 1995. Also utilized accompanying software.