3D acquisition system using uncalibrated line-laser projector

Hiroshi Kawasaki, Ryo Furukawa, Yasuaki Nakamura

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

5 Citations (Scopus)

Abstract

In this paper, we propose a new 3D scanner, which is easy to operate. Till date several 3D scanners, including commercial products, are available; however, most of these are usually large, heavy, and expensive. Although inexpensive 3D scanners manufactured using vision-based techniques, such as stereo vision, are available, they cannot be used in actual measurements because the techniques are still being researched. Our proposed scanner consists of only a laser projector and a single camera and is based on the self-calibarating technique; thus it does not require both precalibration and expensive mechanical devices. This implies that the system to be low-cost and the occlusions can be effectively reduced by moving the projector while scanning. Experiments of our method were performed using both synthesized and real data and the 3D information of the scene was successfully reconstructed.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages1071-1075
Number of pages5
DOIs
Publication statusPublished - Dec 1 2006
Externally publishedYes
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: Aug 20 2006Aug 24 2006

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1
ISSN (Print)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period8/20/068/24/06

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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  • Cite this

    Kawasaki, H., Furukawa, R., & Nakamura, Y. (2006). 3D acquisition system using uncalibrated line-laser projector. In Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 (pp. 1071-1075). [1699074] (Proceedings - International Conference on Pattern Recognition; Vol. 1). https://doi.org/10.1109/ICPR.2006.23