Technology of Graphic & Image
|
3196-3200

Feature point processing and position recovery optimization algorithm in 3D reconstruction system

Xu Jianpeng
Bu Fanliang
School of Information Technology & Cyber Security, People's Public Security of China, Beijing 100038, China

Abstract

On the basis of the principle of SIFT algorithm, this paper constructed a completely new algorithm framework. The algorithm used FCN and BP neural network to comprehensively consider the semantic segmentation and image gray level co-occurrence matrix of the main target of image to achieve adaptive feature point detection range and quantity adjustment. And it used the offset stability of camera position to eliminate false matching during feature point matching. In the meantime, it optimized the pose recovery results by using graph-based optimization nonlinearity and obtained a more accurate camera pose. Finally, comparing with the existing mainstream algorithms, the experimental results verify the effectiveness of the proposed algorithm, the improvement of the scene-adaptive degree of feature points detection, the matching precision of feature points, the precision of posture recovery, and the better efficiency of three-dimensional reconstruction.

Foundation Support

北京自然科学基金资助项目(4184099)
中国人民公安大学基础科研经费资助项目(2016JKF01316)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0359
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3196-3200
Serial Number: 1001-3695(2019)10-071-3196-05

Publish History

[2019-10-05] Printed Article

Cite This Article

徐建鹏, 卜凡亮. 三维重建系统下的特征点处理与位姿恢复优化算法 [J]. 计算机应用研究, 2019, 36 (10): 3196-3200. (Xu Jianpeng, Bu Fanliang. Feature point processing and position recovery optimization algorithm in 3D reconstruction system [J]. Application Research of Computers, 2019, 36 (10): 3196-3200. )

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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.

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