文件名称:A-Comparison-of-SIFT-and-Harris-Conner-Features.r
- 所属分类：
- 图形图像处理(光照,映射..)
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- [PDF]
- 上传时间：
- 2012-11-26
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- 940kb
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- bou3****
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Abstract—This paper presents a comparative study of two
competing features for the task of finding correspondence points
in consecutive image fr a mes. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive fr a mes are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view.-Abstract—This paper presents a comparative study of two
competing features for the task of finding correspondence points
in consecutive image fr a mes. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive fr a mes are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view.
competing features for the task of finding correspondence points
in consecutive image fr a mes. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive fr a mes are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view.-Abstract—This paper presents a comparative study of two
competing features for the task of finding correspondence points
in consecutive image fr a mes. One is the Harris corner feature
and the other is the SIFT feature. First, consecutive fr a mes are
extracted from video data then two kinds of features are
computed. Second, correspondence points matching will be
found. The results of SIFT key points matching and Harris key
points will be compare and discussed. The comparison based on
the result of implementation video data of outdoor with
difference condition of intensity and angle of view.
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A Comparison of SIFT and Harris Conner Features.pdf