A Graph Matching and Energy Minimization Based Algorithm for Lunar Surface Image Mosaic
文献类型:会议论文
作者 | Li, Chuan![]() ![]() ![]() ![]() ![]() |
出版日期 | 2015 |
会议名称 | 1st Chinese Conference on Computer Vision (CCCV) |
会议日期 | SEP 18-20, 2015 |
会议地点 | Xidian Univ, Sch Comp Sci & Technol, Xian, PEOPLES R CHINA |
关键词 | Lunar image mosaic Graph matching Energy Minimization GNCCP |
通讯作者 | Liu, ZY |
英文摘要 | 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. |
会议录 | COMPUTER VISION, CCCV 2015, PT I
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源URL | [http://ir.ia.ac.cn/handle/173211/12863] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
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]. 见:1st Chinese Conference on Computer Vision (CCCV). Xidian Univ, Sch Comp Sci & Technol, Xian, PEOPLES R CHINA. SEP 18-20, 2015. |
入库方式: OAI收割
来源:自动化研究所
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