TY - GEN
T1 - A sequential online 3D reconstruction system using dense stereo matching
AU - Yamao, Sosuke
AU - Miura, Mamoru
AU - Sakai, Shuji
AU - Ito, Koichi
AU - Aoki, Takafumi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/19
Y1 - 2015/2/19
N2 - This paper proposes a sequential online 3D reconstruction system using dense stereo matching for a non-expert user, which can sequentially reconstruct accurate and dense 3D point clouds when the new image is captured. The proposed system is based on a novel processing pipeline of sequential online 3D reconstruction with two key techniques: (i) camera parameter estimation of Structure from Motion (SfM) and (ii) dense stereo correspondence matching using Phase-Only Correlation (POC). The user can confirm the reconstruction result and add supplementary images to the system in order to reconstruct a complete 3D model as needed. Through a set of experiments, the proposed system exhibits efficient performance in terms of reconstruction accuracy and computation time compared with the conventional system.
AB - This paper proposes a sequential online 3D reconstruction system using dense stereo matching for a non-expert user, which can sequentially reconstruct accurate and dense 3D point clouds when the new image is captured. The proposed system is based on a novel processing pipeline of sequential online 3D reconstruction with two key techniques: (i) camera parameter estimation of Structure from Motion (SfM) and (ii) dense stereo correspondence matching using Phase-Only Correlation (POC). The user can confirm the reconstruction result and add supplementary images to the system in order to reconstruct a complete 3D model as needed. Through a set of experiments, the proposed system exhibits efficient performance in terms of reconstruction accuracy and computation time compared with the conventional system.
UR - http://www.scopus.com/inward/record.url?scp=84925387584&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925387584&partnerID=8YFLogxK
U2 - 10.1109/WACV.2015.52
DO - 10.1109/WACV.2015.52
M3 - Conference contribution
AN - SCOPUS:84925387584
T3 - Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
SP - 341
EP - 348
BT - Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
Y2 - 5 January 2015 through 9 January 2015
ER -