TY - GEN
T1 - Complete 3D model reconstruction using two types of depth sensors
AU - Mu, Guangyu
AU - Liao, Miao
AU - Yang, Ruigang
AU - Ouyang, Dantong
AU - Xu, Zhiwen
AU - Guo, Xiaoxin
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and two types of depth sensors. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step. (iii) The surfaces are merged into a whole 3D model by the volumetric method. (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1%.
AB - We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and two types of depth sensors. The reconstruction of a 3D model consists of four key steps: (i) Initial alignment either feature tracking or the 4-points congruent sets algorithm is used to align surfaces captured at different frames. (ii)The iterative closest point (ICP) method is applied to further align the piecewise surfaces from the last step. (iii) The surfaces are merged into a whole 3D model by the volumetric method. (iv) In the refinement step, we fill holes and produce a complete 3D model that approximates the original model with robust repair of polygonal models. At last, we present the experimental results which show that the errors between our reconstructed model and the ground truth are less than 1%.
KW - 3D model
KW - Range image integration
KW - Reconstruction
UR - http://www.scopus.com/inward/record.url?scp=78651318067&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78651318067&partnerID=8YFLogxK
U2 - 10.1109/ICICISYS.2010.5658733
DO - 10.1109/ICICISYS.2010.5658733
M3 - Conference contribution
AN - SCOPUS:78651318067
SN - 9781424465835
T3 - Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
SP - 162
EP - 166
BT - Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
T2 - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010
Y2 - 29 October 2010 through 31 October 2010
ER -