期刊
MULTIMEDIA SYSTEMS
卷 23, 期 1, 页码 105-117出版社
SPRINGER
DOI: 10.1007/s00530-015-0453-x
关键词
Image feature detection; Matching; Feature points; Hessian
资金
- National Natural Science Foundation of China [61373147]
- Natural Science Foundation of Fujian Province [2010J01353]
- Project of Xiamen Science and Technology Program [3502Z20133041]
Image feature detection can be obtained from many methods including the feature point detection. This paper adopts the image feature point detection method based on second-order characteristics of point and the image feature detection algorithm based on the Hessian matrix to detect more feature points. By combining the gray-scale-based image-matching technology with the feature-based image feature detection technology, we propose a Hessian algorithm to obtain more matching points, which can search for matching more quickly. The proposed algorithm overcomes the traditional matching methods that have Ergodic properties of the search strategy. Experiments demonstrate the speed and accuracy of the proposed algorithm, and we use the correct detected feature points to realize image registration, image fusion and image stitching.
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