Robust and accurate one-shot 3D reconstruction by 2C1P system with wave grid pattern

Nozomu Kasuya, Ryusuke Sagawa, Hiroshi Kawasaki, Ryo Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose an active 3D reconstruction method with two cameras and one projector (2C1P) system for capturing moving objects. The system reconstructs the shapes from a single frame of each camera by finding the correspondence between the cameras and the projector Based on projecting wave grid pattern. The projected pattern gives the constraint of correspondence between the two cameras in addition to between a projector and a camera. The proposed method finds correspondence by energy minimization on graphs constructed by detecting a grid pattern in camera images. Since the graphs of two cameras are connected as a single graph by using the constraint between cameras, the proposed method simultaneously finds the correspondences for two cameras, which contributes to the robustness of correspondence search. By merging range images created by the correspondence of each camera, we reduce the occluded area compared to the case of one camera. Finally, the proposed method optimizes the shape as three-view stereo to improve the accuracy of shape measurements. In the experiment, we show the effectiveness of using two cameras by making comparison with the case of one camera.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on 3D Vision, 3DV 2013
Pages247-254
Number of pages8
DOIs
Publication statusPublished - Oct 28 2013
Externally publishedYes
Event2013 International Conference on 3D Vision, 3DV 2013 - Seattle, WA, United States
Duration: Jun 29 2013Jul 1 2013

Publication series

NameProceedings - 2013 International Conference on 3D Vision, 3DV 2013

Other

Other2013 International Conference on 3D Vision, 3DV 2013
Country/TerritoryUnited States
CitySeattle, WA
Period6/29/137/1/13

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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