Authors
Brian Amberg, Sami Romdhani, Thomas Vetter
Publication date
2007/6/17
Conference
2007 IEEE conference on computer vision and pattern recognition
Pages
1-8
Publisher
IEEE
Description
We show how to extend the ICP framework to nonrigid registration, while retaining the convergence properties of the original algorithm. The resulting optimal step nonrigid ICP framework allows the use of different regularisations, as long as they have an adjustable stiffness parameter. The registration loops over a series of decreasing stiffness weights, and incrementally deforms the template towards the target, recovering the whole range of global and local deformations. To find the optimal deformation for a given stiffness, optimal iterative closest point steps are used. Preliminary correspondences are estimated by a nearest-point search. Then the optimal deformation of the template for these fixed correspondences and the active stiffness is calculated. Afterwards the process continues with new correspondences found by searching from the displaced template vertices. We present an algorithm using a locally affine …
Total citations
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Scholar articles
B Amberg, S Romdhani, T Vetter - 2007 IEEE conference on computer vision and pattern …, 2007