中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Plane surface detection and reconstruction using segment-based tensor voting.

文献类型:期刊论文

作者Feng, Liangbing; Lv, Zhihan
刊名JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
出版日期2016
英文摘要A Segment-based Tensor Voting (SBTV) algorithm is presented for planar surface detection and reconstruction of man-made objects. Our work is inspired by piecewise planar stereo reconstruction. During the vital procedure to detect and label the planar surface, the two main contributions are: first, tensor voting is used for obtaining the geometry attribute of the 3D points cloud. The candidate planar patches are generated through scene image segment of low variation of color and intensity. Second, we over segment the scene image into the segment and the candidate 3D planar patch is generated. The SBTV algorithm is used on 3D points cloud sets to identify the co-plane on the candidate patch. After detecting every planar patch, the geometry architecture of object is obtained. The experiments demonstrate the effectiveness of our proposed approach on either outdoor or indoor datasets.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S1047320316301717
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/10212]  
专题深圳先进技术研究院_数字所
作者单位JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
推荐引用方式
GB/T 7714
Feng, Liangbing,Lv, Zhihan. Plane surface detection and reconstruction using segment-based tensor voting.[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2016.
APA Feng, Liangbing,&Lv, Zhihan.(2016).Plane surface detection and reconstruction using segment-based tensor voting..JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION.
MLA Feng, Liangbing,et al."Plane surface detection and reconstruction using segment-based tensor voting.".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2016).

入库方式: OAI收割

来源:深圳先进技术研究院

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