A Study of Robustness of SIFT for Object Recognition in Variant Environments
碩士 === 國立臺灣科技大學 === 資訊工程系 === 100 === The SIFT have been widely used in the image recognition applications. The feature keypoints extracted by SIFT are invariant to image scaling and rotation. But we need a lot of storage to store the keypoint descriptors with 128 dimensions. A method was proposed t...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/7atw5k |