Acta Optica Sinica, Volume. 17, Issue 10, 1352(1997)
Recognition with Rotation Invariance Based on Associative Memory Model Cascaded WTA Model
[1] [1] Y. N. Hsu, H. H. Aresenault. Optical pattern recognition using circular harmonic expansion. Appl. Opt., 1982, 21(4): 4016~4028
[2] [2] S. Zh. Yin, L. Chen, G. G. Mu. 3-D target recognition by using serial-code-filters. Optik, 1989, 82(4): 129~131
[3] [3] D. Casasent, D. Psalltis. Scale invariant optical correlation using mellin transforms. Opt. Commun., 1976, 17(1): 59~64
[4] [4] D. Casasent. Unified synthetic discrimination function computational formulation. Appl. Opt., 1984, 23(10): 1620~1627
[5] [5] G. F. Schils, D. W. Sweeney. An optical processor for recognition of 3-D targets viewed from any direction. J. Opt. Soc. Am. (A), 1988, 5(8): 1308~1321
[6] [6] T. Poggio, S. Edelman. A network that learns to recognize three-dimensional objects. Nature, 1990, 343(1): 263~266
[7] [7] B. Koako. Adaptive bi-directional associative memories. Appl. Opt., 1987, 26(23): 4947~4960
[9] [9] A. Cichocki, R. Unbehaven. Winner-take-all neural networks and its application to minimal optimization prelims. Electron. Lett., 1991, 27(22): 2026~2028
[10] [10] J. Y. Shen, Y. X. Zhang, G. G. Mu. Implementation of modified bipolar WTA neuron netowrk. Chinese J. Infrared and Millimeter Waves, 1995, 12(2): 245~252
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Recognition with Rotation Invariance Based on Associative Memory Model Cascaded WTA Model[J]. Acta Optica Sinica, 1997, 17(10): 1352