Global temporal registration of multiple non-rigid surface sequences
Huang, P, Budd, C and Hilton, A (2011) Global temporal registration of multiple non-rigid surface sequences In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, 2011-06-20 - 2011-06-25, Providence, RI.
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Official URL: http://dx.doi.org/10.1109/CVPR.2011.5995438
In this paper we consider the problem of aligning multiple non-rigid surface mesh sequences into a single temporally consistent representation of the shape and motion. A global alignment graph structure is introduced which uses shape similarity to identify frames for inter-sequence registration. Graph optimisation is performed to minimise the total non-rigid deformation required to register the input sequences into a common structure. The resulting global alignment ensures that all input sequences are resampled with a common mesh structure which preserves the shape and temporal correspondence. Results demonstrate temporally consistent representation of several public databases of mesh sequences for multiple people performing a variety of motions with loose clothing and hair.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
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|Divisions:||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Deposited By:||Symplectic Elements|
|Deposited On:||14 Dec 2011 11:36|
|Last Modified:||11 May 2013 14:38|
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