Object recognition by deterministic annealing

Image and Vision Computing

Volumn 15, Issue 11, 1997, Pages 855-860

  Noll, Detlev ^a   Von Seelen, Werner ^a  

^a RUHR UNIVERSITY BOCHUM   (Germany)

Author keywords

Correspondence problem; Deterministic annealing optimization; Maximum entropy method; Object recognition

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; INFORMATION THEORY; MATHEMATICAL MODELS; SIMULATED ANNEALING;

DETERMINISTIC ANNEALING OPTIMIZATION; MAXIMUM ENTROPY METHOD;

OBJECT RECOGNITION;

EID: 0031268112     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0262-8856(97)00025-5     Document Type: Article

References (17)

1. M. Kass, A. Witkin, D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision 1 (1988) 321-331.
2. A. Blake, R. Curwen, A. Zisserman, A framework for spatiotemporal control in the tracking of visual contours, International Journal of Computer Vision 11 (2) (1993) 127-145.
3. A.L. Yuille, P.W. Hallinan, D.S. Cohen, Feature extraction from faces using deformable templates, International Journal of Computer Vision 8 (2) (1992) 99-111.
4. J.J. Hopfield, D.W. Tank, Neural computation of decisions in optimization problems, Biological Cybernetics 52 (1985) 141-152.
5. C. Peterson, B. Söderberg, A new method for mapping optimization problems onto neural networks, International Journal of Neural Systems 1 (1) (1989) 3-22.
6. E. Aarts, J. Korst, Simulated Annealing and Boltzmann Machines, Wiley, Chichester, 1989.
7. R. Durbin, D. Willshaw, An analogue approach to the travelling salesman problem using an elastic net approach, Nature 326 (6114) (1987) 689-691.
8. C. Peterson, B. Söderberg, Neural optimization, in: M.A. Arbib (Ed.), The Handbook of Brain Theory and Neural Networks, MIT Press, Cambridge, 1995, pp. 617-621.
9. K. Rose, E. Gurewitz, G.C. Fox, Constrained clustering as an optimization method, IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (8) (1993) 785-794.
10. J.N. Kapur, H.K. Kesavan, Entropy Optimization Principles with Applications, Academic Press, San Diego, 1992.
11. D. Noll, Ein Optimierungsansatz zur Objekterkennung, Number 454 in Fortschrittberichte, Reihe 10, VDI-Verlag, Düsseldorf, 1996. Dissertation, Ruhr-Universität Bochum.
12. G. Strang, Linear Algebra and its Applications, 3rd edition, Harcourt Brace Jovanovich, Fort Worth, 1988.
13. R. Durbin, R. Szeliski, A. Yuille, An analysis of the elastic net approach to the traveling salesman problem. Neural Computation 1 (1989) 348-359.
14. K. Rose, E. Gurewitz, G.C. Fox, A deterministic annealing approach to clustering, Pattern Recognition Letters 11 (9) (1990) 589-594.
15. C. Goerick, D. Noll, M. Werner, Artificial neural networks in real time car detection and tracking applications, Pattern Recognition Letters 17 (1996) 335-343.
16. D. Noll, M. Werner, W. von Seelen, Real-time vehicle tracking and classification, in: Proceedings of the Intelligent Vehicles '95 Symposium, Detroit, 1995, pp. 101-106.
17. A.L. Yuille, P. Stolorz, J. Utans, Statistical physics, mixtures of distributions, and the EM algorithm, Neural Computation 6 (1994) 334-340.