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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1252-1255

Quasi-dense matching based on scale invariant Harris feature

Sun Huichao1,2,3,4
Hui Bin1,3,4
Chang Zheng1,3,4
1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
4. Key Laboratory of Image Understanding & Computer Vision, Shenyang 110016, China
DOI: 10.19734/j.issn.1001-3695.2017.11.0773

Abstract

Quasi-dense matching is widely used in multi-view 3D reconstruction, and it is important for reconstruction results. Aiming at the quasi-dense matches diffused by the seed points extracted from SIFT algorithm were less accurate, this paper proposed a quasi-dense matching algorithm based on scale invariant Harris corners. Firstly, this algorithm structured the scale invariant Harris features in multi-scale space, and bidirectionally matched the feature sets between different views by cosine distance similarity measure. Then it applied the seeds selected from the initial matches in quasi-dense matching algorithms by best and first propagation strategy. Finally, it applied a local non-maximum suppression strategy to resampling the quasi-dense matching results. Experiments show that the seeds extracted by the proposed algorithm can not only reflect the scene structure information, but also have scale invariant characteristics. And for quasi-dense diffusion, the matching effect and accuracy can be improved, and it is an effective quasi-dense matching algorithm for 3D reconstruction.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0773
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Graphic & Image
Pages: 1252-1255
Serial Number: 1001-3695(2019)04-065-1252-04

Publish History

[2019-04-05] Printed Article

Cite This Article

孙会超, 惠斌, 常铮. 基于尺度不变Harris特征的准稠密匹配算法 [J]. 计算机应用研究, 2019, 36 (4): 1252-1255. (Sun Huichao, Hui Bin, Chang Zheng. Quasi-dense matching based on scale invariant Harris feature [J]. Application Research of Computers, 2019, 36 (4): 1252-1255. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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