Detail Preserved Surface Reconstruction from Point Cloud

doi:10.3390/s19061278

	Detail Preserved Surface Reconstruction from Point Cloud
	Zhou, Yang1,2 ; Shen, Shuhan1,2 ; Hu, Zhanyi1,2
发表期刊	SENSORS
ISSN	1424-8220
	2019-03-02
卷号	19 期号:6 页码:21
通讯作者	Shen, Shuhan(shshen@nlpr.ia.ac.cn)
摘要	In this paper, we put forward a new method for surface reconstruction from image-based point clouds. In particular, we introduce a new visibility model for each line of sight to preserve scene details without decreasing the noise filtering ability. To make the proposed method suitable for point clouds with heavy noise, we introduce a new likelihood energy term to the total energy of the binary labeling problem of Delaunay tetrahedra, and we give its s-t graph implementation. Besides, we further improve the performance of the proposed method with the dense visibility technique, which helps to keep the object edge sharp. The experimental result shows that the proposed method rivalled the state-of-the-art methods in terms of accuracy and completeness, and performed better with reference to detail preservation.
关键词	computer vision 3D reconstruction point cloud
DOI	10.3390/s19061278
关键词[WOS]	MULTIVIEW STEREO RECONSTRUCTION ; SILHOUETTE ; FUSION ; SHAPE
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61573351] ; National Natural Science Foundation of China[61873265] ; National Natural Science Foundation of China[61632003] ; National Natural Science Foundation of China[61632003] ; National Natural Science Foundation of China[61873265] ; National Natural Science Foundation of China[61573351]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS记录号	WOS:000465520200016
出版者	MDPI
七大方向——子方向分类	三维视觉
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23567
专题	多模态人工智能系统全国重点实验室_机器人视觉
通讯作者	Shen, Shuhan
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
第一作者单位	模式识别国家重点实验室
通讯作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Zhou, Yang,Shen, Shuhan,Hu, Zhanyi. Detail Preserved Surface Reconstruction from Point Cloud[J]. SENSORS,2019,19(6):21.
APA	Zhou, Yang,Shen, Shuhan,&Hu, Zhanyi.(2019).Detail Preserved Surface Reconstruction from Point Cloud.SENSORS,19(6),21.
MLA	Zhou, Yang,et al."Detail Preserved Surface Reconstruction from Point Cloud".SENSORS 19.6(2019):21.

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