Improving Hessian Matrix Detector for SURF
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概要
- 論文の詳細を見る
An advanced interest point detector is proposed to improve the Hessian-Matrix based detector of the SURF algorithm. Round-like shapes are utilized as the filter shape to calculate of the Hessian determinant. Dxy can be acquired from approximate round areas, while the regions for computing Dyy or Dxx are designed with the consideration to symmetry and a balance of pixel number. Experimental results indicate that the proposed method has higher repeatability than the one used in SURF, especially in the aspects of rotation and viewpoint, due to the centrosymmetry of the proposed filter shapes. The results of image matching also show that more precision can be gained with the application of proposed detector.
- (社)電子情報通信学会の論文
- 2011-04-01
著者
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CHANG Qing
Faculty 202 in School of Electronic and Information Engineering of Beihang University
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Xiong Zhang
Faculty Of State Key Laboratory Of Software Development Environment In School Of Computer Science An
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Chi Yitao
Faculty Of State Key Laboratory Of Software Development Environment In School Of Computer Science An
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Xiong Zhang
Faculty Of State Key Laboratory Of Software Development Environment In School Of Computer Science An
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Sheng Hao
Faculty Of State Key Laboratory Of Software Development Environment In School Of Computer Science An
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LI Chao
Faculty of State Key Laboratory of Software Development Environment in School of Computer Science an
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Li Chao
Faculty Of State Key Laboratory Of Software Development Environment In School Of Computer Science An
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- Improving Hessian Matrix Detector for SURF