Improving SIFT Matching Efficiency Using Hashing and Descriptor Binarization Techniques
碩士 === 大同大學 === 資訊工程學系(所) === 102 === Scale-invariant feature transform (SIFT) is an algorithm in computer vision. Although it can achieve high accuracy in image matching, the speed of image matching is slow. The thesis presents a method that uses hashing and descriptor binarization to improve SIFT...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/zhrdjt |