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2010

3D point pattern matching based on spatial geometric flexibility

8 years 3 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises from marker based optical motion capture (Mocap) systems for facial Mocap data. To establish one-to-one identifications, we introduce a forward 3D point pattern matching (PPM) method based on spatial geometric flexibility, which considers a non-rigid deformation between the two point-sets. First, a model normalization algorithm based on simple rules is presented to normalize the two point-sets into a fixed space. Second, a facial topological structure model is constructed, which is used to preserve spatial information for each FP. Finally, we introduce a Local Deformation Matrix (LDM) to rectify local searching vector to meet the local deformation. Experimental results confirm that this method is applicable for robust 3D point pattern matching of sparse point sets with underlying non-rigid deformation and si...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen
Added 01 Mar 2011
Updated 01 Mar 2011
Type Journal
Year 2010
Where COMSIS
Authors Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongsheng Zhou
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