Proceedings of the 2015 AASRI International Conference on Circuits and Systems

Application of Stereo Vision 3D Target Recognition Using Camera Calibration Algorithm

Authors
Guo-Shing Huang, Yu-Yong Tseng
Corresponding Author
Guo-Shing Huang
Available Online August 2015.
DOI
https://doi.org/10.2991/cas-15.2015.91How to use a DOI?
Keywords
pinhole imaging; internal parameter; external parameter; stereo vision
Abstract
This paper proposes a method of 3D(threedimensional) object recognition using binocular parallax. The calibration object is a 2D(two-dimensional) object and a calibration label is placed on its plane. The internal, external, and distortion parameters of the camera are collaborated by taking pictures of the calibration object in different angles. This research allows image distortions caused by the camera to be calibrated, allowing the image coordinate of the characteristic point to better match with its actual coordinate. After calibration, the depth, localization, and identification of stereo vision of the image developed by the left and right cameras are optimized; the coordinate, distance, and the angle of rotation can be precisely identified.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 AASRI International Conference on Circuits and Systems (CAS 2015)
Part of series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
978-94-62520-74-5
ISSN
2352-538X
DOI
https://doi.org/10.2991/cas-15.2015.91How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guo-Shing Huang
AU  - Yu-Yong Tseng
PY  - 2015/08
DA  - 2015/08
TI  - Application of Stereo Vision 3D Target Recognition Using Camera Calibration Algorithm
BT  - 2015 AASRI International Conference on Circuits and Systems (CAS 2015)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/cas-15.2015.91
DO  - https://doi.org/10.2991/cas-15.2015.91
ID  - Huang2015/08
ER  -