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How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling

文献类型：期刊论文

作者Shen, Shuhan; Hu, Zhanyi
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2014
卷号23期号:1页码:308-318
关键词Neighboring image selection depth-map computation 3D modeling
英文摘要Depth-map merging based 3D modeling is an effective approach for reconstructing large-scale scenes from multiple images. In addition to generate high quality depth maps at each image, how to select suitable neighboring images for each image is also an important step in the reconstruction pipeline, unfortunately to which little attention has been paid in the literature untill now. This paper is intended to tackle this issue for large scale scene reconstruction where many unordered images are captured and used with substantial varying scale and view-angle changes. We formulate the neighboring image selection as a combinatorial optimization problem and use the quantum-inspired evolutionary algorithm to seek its optimal solution. Experimental results on the ground truth data set show that our approach can significantly improve the quality of the depth-maps as well as final 3D reconstruction results with high computational efficiency.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]SCALE MULTIVIEW STEREO ; RECONSTRUCTION ; CONSISTENCY ; ALGORITHM
收录类别SCI
语种英语
WOS记录号WOS:000329195500025
源URL[http://ir.ia.ac.cn/handle/173211/2977]  
专题自动化研究所_模式识别国家重点实验室_机器人视觉团队
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Shen, Shuhan,Hu, Zhanyi. How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(1):308-318.
APA Shen, Shuhan,&Hu, Zhanyi.(2014).How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling.IEEE TRANSACTIONS ON IMAGE PROCESSING,23(1),308-318.
MLA Shen, Shuhan,et al."How to Select Good Neighboring Images in Depth-Map Merging Based 3D Modeling".IEEE TRANSACTIONS ON IMAGE PROCESSING 23.1(2014):308-318.

入库方式： OAI收割

来源：自动化研究所

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