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《Acta Geodaetica et Cartographica Sinica》 2008-01
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A Method for Affine Invariant Feature Extraction with High Quality for Wide Baseline Stereo Image Matching

CHENG Liang , GONG Jian-ya , SONG Xiao-gang, YANG Xiao-xia State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China; Remote Sensing and Information Engineering School, Wuhan University, Wuhan 430079, China  
Wide baseline stereo image matching is a challenging problem in image processing and computer vision. For the purpose of wide baseline stereo image matching, a filter strategy of affine invariant feature based on information content and spatial distribution constraints is put forward. Moreover, a new feature extraction algorithm integrating MSER, SIFT and this filter method is discussed, in order to realize high quality (high information content, good spatial distribution, high repeatability) affine invariant feature extraction. The experiments by using of actual wide baseline images sequence with different texture features prove that this method guarantees much better repeatability, which benefits the subsequent stereo image matching.
【Fund】: 国家重点基础研究发展计划项目(2006CB701300)
【CateGory Index】: TP391.41
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