TY - GEN
T1 - Modeling deformable objects from a single depth camera
AU - Liao, Miao
AU - Zhang, Qing
AU - Wang, Huamin
AU - Yang, Ruigang
AU - Gong, Minglun
PY - 2009
Y1 - 2009
N2 - We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at least once. The core of this algorithm is based on the assumption that the deformation is continuous and predictable in a short temporal interval. While the camera can only capture part of a whole surface at any time instant, partial surfaces reconstructed from different times are assembled together to form a complete 3D surface for each time instant, even when the shape is under severe deformation. A mesh warping algorithm based on linear mesh deformation is used to align different partial surfaces. A volumetric method is then used to combine partial surfaces, fix missing holes, and smooth alignment errors. Our experiment shows that this approach is able to reconstruct visually plausible 3D surface deformation results with a single camera.
AB - We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at least once. The core of this algorithm is based on the assumption that the deformation is continuous and predictable in a short temporal interval. While the camera can only capture part of a whole surface at any time instant, partial surfaces reconstructed from different times are assembled together to form a complete 3D surface for each time instant, even when the shape is under severe deformation. A mesh warping algorithm based on linear mesh deformation is used to align different partial surfaces. A volumetric method is then used to combine partial surfaces, fix missing holes, and smooth alignment errors. Our experiment shows that this approach is able to reconstruct visually plausible 3D surface deformation results with a single camera.
UR - http://www.scopus.com/inward/record.url?scp=77953192804&partnerID=8YFLogxK
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U2 - 10.1109/ICCV.2009.5459161
DO - 10.1109/ICCV.2009.5459161
M3 - Conference contribution
AN - SCOPUS:77953192804
SN - 9781424444205
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 167
EP - 174
BT - 2009 IEEE 12th International Conference on Computer Vision, ICCV 2009
T2 - 12th International Conference on Computer Vision, ICCV 2009
Y2 - 29 September 2009 through 2 October 2009
ER -