Using Local Invariant in Occluded Object Recognition by Hopfield Neural Network
碩士 === 國立中山大學 === 機械與機電工程學系研究所 === 91 === In our research, we proposed a novel invariant in 2-D image contour recognition based on Hopfield-Tank neural network. At first, we searched the feature points, the position of feature points where are included high curvature and corner on the contour. We us...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61679627653397484929 |