One-shot entire shape acquisition method using multiple projectors and cameras

Ryo Furukawa, Ryusuke Sagawa, Hiroshi Kawasaki, Kazuhiro Sakashita, Yasushi Yagi, Naoki Asada

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

23 Citations (Scopus)

Abstract

In this paper, we propose an active scanning system using multiple projectors and cameras to acquire a dense entire shape of the object with a single scan (a.k.a. one-shot scan). One of the potential application of the system is to capture a moving object with high frame-rate. Since the pattern used for oneshot scan is usually complicated and those patterns interfere each other if they are projected on the same object, it is difficult to use multiple sets of them for entire shape acquisition. In addition, at the end of the closed loop, errors on each scan are accumulated, resulting in large gaps between shapes. To solve the problem, we propose a oneshot shape reconstruction method using a projector projecting a static pattern of parallel lines with one or two colors. Since each projector projects just parallel lines with a small number of colors, those patterns are easily decomposed and detected even if those patterns are projected multiple times on the same object. We also propose a kind of multi-view reconstruction algorithm for the proposed projector-camera system. In the experiment, we actually built a system which consists of six projectors and six cameras and dense shapes of entire objects were successfully reconstructed.

Original languageEnglish
Title of host publicationProceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
Pages107-114
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010 - Singapore, Singapore
Duration: Nov 14 2010Nov 17 2010

Publication series

NameProceedings - 4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010

Other

Other4th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2010
CountrySingapore
CitySingapore
Period11/14/1011/17/10

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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