Foveal automatic target recognition using a multiresolution neural network

IEEE Transactions on Image Processing

Volumn 7, Issue 8, 1998, Pages 1122-1135

  Young, Susan S ^a,b   Scott, Peter D ^c   Bandera, Cesar ^a,d  

^a IEEE   (United States)

^b EASTMAN KODAK COMPANY   (United States)

^c UNIVERSITY OF MASSACHUSETTS   (United States)

^d Amherst Systems Inc   (United States)

Author keywords

Automatic target recognition; Foveal images; Multiresolution images; Neural network

Indexed keywords

ALGORITHMS; COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; DECISION THEORY; FEATURE EXTRACTION; NEURAL NETWORKS;

AUTOMATIC TARGET RECOGNITION; FOVEAL IMAGES; HOPFIELD NEURAL NETWORK; MULTIRESOLUTION IMAGES; TWO DIMENSIONAL;

OBJECT RECOGNITION;

EID: 0032140535     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.704306     Document Type: Article

References (25)

1. C. Bandera, "Strategies and algorithms for foveal machine vision," Tech. Rep., ONR Contract N00014-91-C-0257, Doc. Contr. 150-9250001, May 16, 1994.
2. G. Borgefors, "Hierarchical chamfer matching: A parametric edge matching algorithm," IEEE Trans. Pattern Anal. Machine Intell., vol. 10, pp. 849-865, Nov. 1988.
3. J. B. Burns and L. J. Kitchen, "Rapid recognition out of a large model base using prediction hierarchies and machine parallelism," Intell. Robots Comput. Vis., vol. 848, pp. 225-233, 1987.
4. C. Neveu, C. Dyer, and R. Chin, "Two-dimensional object recognition using multiresolution models," Comput. Vis., Graph., Image Processing, vol. 34, pp. 52-65, 1986.
5. K. Price, "Hierarchical matching using relaxation," Comput. Vis., Graph., Image Processing, vol. 34, pp. 66-75, 1986.
6. J. Sklansky and D. Petkovic, "Two-resolution detection of lung tumors in chest radiographs," in Multiresolution Image Processing and Analysis, A. Rosenfeld, Ed. Berlin, Germany: Springer-Verlag, 1984, pp. 365-378.
7. W. Chen and T. Chou, "A hierarchical deformation model for on-line cursive script recognition," Pattern Recognit., vol. 27, pp. 205-219, 1994.
8. S. S. Young, P. D. Scott, and N. M. Nasrabadi, "Object recognition using multi-layer Hopfield neural network," IEEE Trans. Image Processing, vol. 6, pp. 357-372, Mar. 1997.
9. Multiresolution Image Processing and Analysis, A. Rosenfeld, Ed. Berlin, Germany: Springer-Verlag, 1984.
10. L. M. J. Florack, et al., "Nonlinear scale-space," Image Vis. Comput., vol. 13, pp. 279-294, May 1995.
11. R. S. Wallace, P. Ong, B. B. Bederson, and E. L. Schwartz, "Space variant image processing," Int. J. Comput. Vis., vol. 13, pp. 71-90, 1994.
12. E. L. Schwartz, D. N. Greve, and G. Bonmassar, "Space-variant active vision: Definition, overview and examples," Neural Networks, vol. 8, pp. 1297-1308, 1995.
13. Y. Y. Zeevi and R. Ginosar, "Neural computers for foveating vision systems," in Advanced Neural Computers, R. Eckmiller, Ed. Amsterdam, The Netherlands: Elsevier, 1990, pp. 323-330.
14. R. Hecht-Nielsen and Y. T. Zhou, "VARTAC: A foveal active vision ATR system," Neural Networks, vol. 8, pp. 1309-1321, 1995.
15. K. J. Bradshaw, P. F. McLauchlan, I. D. Reid, and D. W. Murray, "Saccade and pursuit on an active head/eye platform," Image Vis. Comput., vol. 12, pp. 155-163, 1994.
16. C. Brown, "Gaze control with interactions and delays," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 518-527, Mar./Apr. 1990.
17. I. D. Reid and D. W. Murray, "Active tracking of foveated feature clusters using affine structure," Int. J. Comput. Vis., vol. 18, pp. 41-60, 1996.
18. J. L. Junkins, An Introduction to Optimal Estimation of Dynamical Systems. Alphen Aan Den Rijn, The Netherlands: Sijthoff & Noordhoff, 1978.
19. C. Bandera, "Foveal machine vision systems," Ph. D. dissertation, State Univ. New York at Buffalo, Aug. 1990.
20. U. Ramer, "An iterative procedure for the polygonal approximation of plane curves," Comput. Vis., Graph., Image Processing, vol. 1, pp. 244-256, 1972.
21. N. M. Nasrabadi and W. Li, "Object recognition by a Hopfield neural network," IEEE Trans. Syst., Man, Cybern., vol. 21, pp. 1523-1535, 1991.
22. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
23. S. S. Young, "Multiresolution object recognition using neural networks," Ph.D. dissertation, State Univ. New York at Buffalo, Apr. 1995.
24. K. S. Choy and P. D. Scott, "Reinforcement learning gaze control in partially observable environments," in Proc. IASTED, Int. Conf. Intelligent Systems and Control, Halifax, Canada, June 1998, pp. 86-90.
25. C. Bandera, et al., "Residual Q-learning applied to visual attention," in Proc. 13th Int. Conf. Machine Learning, Bari, Italy, July 3, 1996.