A real-time system for 3D recovery of dynamic scene with multiple RGBD imagers

Yong Duan*, Lei Chen, Yucheng Wang, Min Yang, Xiameng Qin, Shaoyang He, Yunde Jia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

In this paper we present a real-time 3D recovery system using multiple FPGA-based RGBD imagers. The RGBD imager developed in our lab produces color images combined with corresponding dense disparity maps encoding 3D information. Multiple RGBD imagers are externally triggered to sense the 3D world synchronously. The acquired 3D information of a dynamic scene from multiple viewpoints is then streamed to a PC cluster for further processing. Multiple RGBD imagers are fully calibrated to normalize the 3D data into a uniform world coordinate system. Compared with most of the visual hull based real-time 3D reconstruction systems, our system relies on depth maps and is much more suited for large scale dynamic scenes with multiple moving objects (e.g. people). Examples are provided to demonstrate the effectiveness of our system.

Original languageEnglish
Title of host publication2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
DOIs
Publication statusPublished - 2011
Event2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States
Duration: 20 Jun 201125 Jun 2011

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)2160-7508
ISSN (Electronic)2160-7516

Conference

Conference2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Country/TerritoryUnited States
CityColorado Springs, CO
Period20/06/1125/06/11

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