Iterative cage-based registration for dynamic shape capture
ACM SIGGRAPH 2012 Posters
Iterative cage-based registration from multi-view silhouettes
Proceedings of the 10th European Conference on Visual Media Production
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In this paper we present a method to automatically introduce temporal consistency into a sequence of meshes reconstructed from multi-view video. We combine a number of advantages of previous work to produce a robust algorithm. Our approach uses SIFT features in each camera view combined with geometric information to produce accurate frame to frame correspondence. Coupling this with both volumetric and surface laplacian deformation techniques we are able to deform a well reconstructed frame across the 3D video sequence. Although the approach is sequential the combination of appearance and shape matching allows recovery from errors in previous frames or surface reconstruction.