The Light Field 3D Scanner

doi:10.1109/ICCPHOT.2017.7951484

	The Light Field 3D Scanner
	Zhang, Yingliang1 ; Li, Zhong 2,3; Yang, Wei 2,3; Yu, Peihong1 ; Lin, Haiting 3; Yu, Jingyi1,2
	2017
会议录名称	2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP 2017)
ISSN	2472-7636
页码	67-75
发表状态	已发表
DOI	10.1109/ICCPHOT.2017.7951484
摘要	We present a novel light field structure-from-motion (SfM) framework for reliable 3D object reconstruction. Specifically, we use the light field (LF) camera such as Lytro and Raytrix as a virtual 3D scanner. We move an LF camera around the object and register between multiple LF shots. We show that applying conventional SfM on sub-aperture images is not only expensive but also unreliable due to ultra-small baseline and low image resolution. Instead, our LF-SfM scheme maps ray manifolds across LFs. Specifically, we show how rays passing through a common 3D point transform between two LFs and we develop reliable technique for extracting extrinsic parameters from this ray transform. Next, we apply a new edge-preserving stereo matching technique on individual LFs and conduct LF bundle adjustment to jointly optimize pose and geometry. Comprehensive experiments show our solution outperforms many state-of-the-art passive and even active techniques especially on topologically complex objects.
关键词	Three-dimensional displays Cameras Reliability Solid modeling Transforms Image reconstruction Registers
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Stanford, CA
会议日期	12-14 May 2017
URL	查看原文
收录类别	CPCI ; EI
语种	英语
WOS研究方向	Engineering ; Imaging Science & Photographic Technology
WOS类目	Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS记录号	WOS:000414284100007
出版者	IEEE
EI入藏号	20173003981235
EI主题词	Cameras ; Color photography ; Image processing ; Image resolution ; Multispectral scanners ; Photography ; Scanning
EI分类号	Data Processing and Image Processing:723.2 ; Photography:742.1 ; Photographic Equipment:742.2 ; Imaging Techniques:746
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/2855
专题	信息科学与技术学院信息科学与技术学院_PI研究组_虞晶怡组信息科学与技术学院_硕士生信息科学与技术学院_博士生
通讯作者	Zhang, Yingliang
作者单位	1.ShanghaiTech Univ, Shanghai, Peoples R China 2.Univ Delaware, Newark, DE USA 3.Plex VR Inc, Shanghai, Peoples R China
第一作者单位	上海科技大学
通讯作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Zhang, Yingliang,Li, Zhong,Yang, Wei,et al. The Light Field 3D Scanner[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:67-75.