Kernel Based Image Registration Incorporating with Both Feature and Intensity Matching
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概要
- 論文の詳細を見る
Image sequence registration has attracted increasing attention due to its significance in image processing and computer vision. In this paper, we put forward a new kernel based image registration approach, combining both feature-based and intensity-based methods. The proposed algorithm consists of two steps. The first step utilizes feature points to roughly estimate a motion parameter between successive frames; the second step applies our kernel based idea to align all the frames to the reference frame (typically the first frame). Experimental results using both synthetic and real image sequences demonstrate that our approach can automatically register all the image frames and be robust against illumination change, occlusion and image noise.
- （社）電子情報通信学会の論文
- 2010-05-01
著者
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WANG Guijin
Department of Electronic Engineering, Tsinghua University
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Wang Guijin
Department Of Electronics Engineering Tsinghua University
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Wang Guijin
Dept. Of Electronic Engineering Tsinghua University
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Lin Xinggang
Department Of Electronic Engineering Tsinghua University
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MIAO Quan
Department of Electronic Engineering, Tsinghua University
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Miao Quan
Department Of Electronic Engineering Tsinghua University
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Wang Guijin
Department Of Electronic Engineering Tsinghua University
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