TY - GEN
T1 - Deformable 3D fusion
T2 - 15th IEEE International Conference on Computer Vision, ICCV 2015
AU - Xu, Weipeng
AU - Salzmann, Mathieu
AU - Wang, Yongtian
AU - Liu, Yue
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/17
Y1 - 2015/2/17
N2 - Capturing the 3D motion of dynamic, non-rigid objects has attracted significant attention in computer vision. Existing methods typically require either complete 3D volumetric observations, or a shape template. In this paper, we introduce a template-less 4D reconstruction method that incrementally fuses highly-incomplete 3D observations of a deforming object, and generates a complete, temporally-coherent shape representation of the object. To this end, we design an online algorithm that alternatively registers new observations to the current model estimate and updates the model. We demonstrate the effectiveness of our approach at reconstructing non-rigidly moving objects from highly-incomplete measurements on both sequences of partial 3D point clouds and Kinect videos.
AB - Capturing the 3D motion of dynamic, non-rigid objects has attracted significant attention in computer vision. Existing methods typically require either complete 3D volumetric observations, or a shape template. In this paper, we introduce a template-less 4D reconstruction method that incrementally fuses highly-incomplete 3D observations of a deforming object, and generates a complete, temporally-coherent shape representation of the object. To this end, we design an online algorithm that alternatively registers new observations to the current model estimate and updates the model. We demonstrate the effectiveness of our approach at reconstructing non-rigidly moving objects from highly-incomplete measurements on both sequences of partial 3D point clouds and Kinect videos.
UR - http://www.scopus.com/inward/record.url?scp=84973875577&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2015.252
DO - 10.1109/ICCV.2015.252
M3 - Conference contribution
AN - SCOPUS:84973875577
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 2183
EP - 2191
BT - 2015 International Conference on Computer Vision, ICCV 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 December 2015 through 18 December 2015
ER -