A robust boundary-based object recognition in occlusion environment by hybrid Hopfield neural networks

Author:

Kim Jung H.,Yoon Sung H.,Sohn Kwang H.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. Shape matching of two-dimensional objects;Bhanu;IEEE Trans. Pattern Anal. Mach. Intell.,1984

2. Computer analysis of planar curvilinear moving images;Chow;IEEE Trans. Comput.,1987

3. Recognizing partially occluded parts;Turney;IEEE Trans. Pattern Anal. Mach. Intell.,1985

4. Recognizing and locating partially visible objects: The local-feature-focus method;Bolles;Int. J. Robot. Res.,1982

5. Using polygon to recognize and locate partially occluded objects;Koch;IEEE Trans. Pattern Anal. Mach. Intell.,1987

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