IEICE TRANSACTIONS on Information
A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry
Summary :
This paper describes a technique for reconstructing dynamic scene geometry using a handheld video projector-camera system and a single checkerboard image as a structured light pattern. The proposed technique automatically recognizes a dense checkerboard pattern under dynamic conditions. The pattern-recognition process is adaptive to different light conditions and an object's color, thereby avoiding the need to set threshold values manually for different objects when the scanning device is moving. We also propose a technique to find corresponding positions for the checkerboard pattern, when displayed by a projector, without needing any position-encoding techniques. The correspondence matching process is based on epipolar geometry, enabling the checkerboard pattern to be matched even if parts of it are occluded. By using a dense checkerboard pattern, we can construct a handheld projector-camera system that can acquire the geometry of objects in real time, and we have verified the feasibility of the proposed techniques.
- Publication
- IEICE TRANSACTIONS on Information Vol.E94-D No.2 pp.336-348
- Publication Date
- 2011/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E94.D.336
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Vinh Ninh DAO, Masanori SUGIMOTO, "A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 2, pp. 336-348, February 2011, doi: 10.1587/transinf.E94.D.336.
Abstract: This paper describes a technique for reconstructing dynamic scene geometry using a handheld video projector-camera system and a single checkerboard image as a structured light pattern. The proposed technique automatically recognizes a dense checkerboard pattern under dynamic conditions. The pattern-recognition process is adaptive to different light conditions and an object's color, thereby avoiding the need to set threshold values manually for different objects when the scanning device is moving. We also propose a technique to find corresponding positions for the checkerboard pattern, when displayed by a projector, without needing any position-encoding techniques. The correspondence matching process is based on epipolar geometry, enabling the checkerboard pattern to be matched even if parts of it are occluded. By using a dense checkerboard pattern, we can construct a handheld projector-camera system that can acquire the geometry of objects in real time, and we have verified the feasibility of the proposed techniques.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E94.D.336/_p
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@ARTICLE{e94-d_2_336,
author={Vinh Ninh DAO, Masanori SUGIMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry},
year={2011},
volume={E94-D},
number={2},
pages={336-348},
abstract={This paper describes a technique for reconstructing dynamic scene geometry using a handheld video projector-camera system and a single checkerboard image as a structured light pattern. The proposed technique automatically recognizes a dense checkerboard pattern under dynamic conditions. The pattern-recognition process is adaptive to different light conditions and an object's color, thereby avoiding the need to set threshold values manually for different objects when the scanning device is moving. We also propose a technique to find corresponding positions for the checkerboard pattern, when displayed by a projector, without needing any position-encoding techniques. The correspondence matching process is based on epipolar geometry, enabling the checkerboard pattern to be matched even if parts of it are occluded. By using a dense checkerboard pattern, we can construct a handheld projector-camera system that can acquire the geometry of objects in real time, and we have verified the feasibility of the proposed techniques.},
keywords={},
doi={10.1587/transinf.E94.D.336},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - A Dynamic Geometry Reconstruction Technique for Mobile Devices Using Adaptive Checkerboard Recognition and Epipolar Geometry
T2 - IEICE TRANSACTIONS on Information
SP - 336
EP - 348
AU - Vinh Ninh DAO
AU - Masanori SUGIMOTO
PY - 2011
DO - 10.1587/transinf.E94.D.336
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2011
AB - This paper describes a technique for reconstructing dynamic scene geometry using a handheld video projector-camera system and a single checkerboard image as a structured light pattern. The proposed technique automatically recognizes a dense checkerboard pattern under dynamic conditions. The pattern-recognition process is adaptive to different light conditions and an object's color, thereby avoiding the need to set threshold values manually for different objects when the scanning device is moving. We also propose a technique to find corresponding positions for the checkerboard pattern, when displayed by a projector, without needing any position-encoding techniques. The correspondence matching process is based on epipolar geometry, enabling the checkerboard pattern to be matched even if parts of it are occluded. By using a dense checkerboard pattern, we can construct a handheld projector-camera system that can acquire the geometry of objects in real time, and we have verified the feasibility of the proposed techniques.
ER -
English
