A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 机器人理论与应用

	A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic
	Li, Chuan; Liu, Zhi-Yong; Yang, Xu; Qiao, Hong; Liu, Chuan-Kai; Liu, ZY
	2015
会议名称	1st Chinese Conference on Computer Vision (CCCV)
会议录名称	COMPUTER VISION, CCCV 2015, PT I
会议日期	SEP 18-20, 2015
会议地点	Xidian Univ, Sch Comp Sci & Technol, Xian, PEOPLES R CHINA
摘要	This paper concerns the problem of lunar surface image mosaic, including both image registration andimage stitching procedures. A wide viewing composite obtained by mosaic technique plays an important role in many lunar rover's operations. Considering particular characters in lunar surfaceimages, such as large geometrical deformations, significant illumination differences and repeated patterns, previous image mosaic techniques often fail to create a qualified composite. In this paper, anovel algorithm is introduced to tackle the lunar surface image mosaic problem. Specifically, in theimage registration procedure, to deal with the misregistration problem caused by large geometrical deformation and repeated patterns, structural information is introduced to solve the feature correspondence by formulating it as a graph matching problem. In the image stitching procedure, anenergy minimization method is proposed based on the graduated nonconvexity and concavity procedure (GNCCP), to handle the visible seams caused by illumination differences and ghosting problem caused by large parallax in the overlapped area. Comparative experiments on real lunar surfaceimages acquired by Yutu rover and Apollo image gallery validate the effectiveness of the proposed method.
关键词	Lunar Image Mosaic Graph Matching Energy Minimization Gnccp
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12863
专题	多模态人工智能系统全国重点实验室_机器人理论与应用
通讯作者	Liu, ZY
推荐引用方式 GB/T 7714	Li, Chuan,Liu, Zhi-Yong,Yang, Xu,et al. A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic[C],2015.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
10.1007%2F978-3-662-（5989KB）	会议论文		开放获取	CC BY-NC-SA	浏览