A Meshless Method for Variational Nonrigid 2-D Shape Registration
Wei Liu, Eraldo Ribeiro

TL;DR
This paper introduces a novel meshless variational approach for nonrigid 2-D shape registration, capable of handling high-curvature deformations efficiently and accurately.
Contribution
It extends chamfer-matching energy to a variational functional and proposes a meshless deformation model with adaptive, partition-of-unity based local deformations.
Findings
Effective registration of complex shapes demonstrated
Handles high-curvature deformations robustly
Outperforms traditional mesh-based methods
Abstract
We present a method for nonrigid registration of 2-D geometric shapes. Our contribution is twofold. First, we extend the classic chamfer-matching energy to a variational functional. Secondly, we introduce a meshless deformation model that can handle significant high-curvature deformations. We represent 2-D shapes implicitly using distance transforms, and registration error is defined based on the shape contours' mutual distances. In addition, we model global shape deformation as an approximation blended from local deformation fields using partition-of-unity. The global deformation field is regularized by penalizing inconsistencies between local fields. The representation can be made adaptive to shape's contour, leading to registration that is both flexible and efficient. Finally, registration is achieved by minimizing a variational chamfer-energy functional combined with the consistency…
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Taxonomy
Topics3D Shape Modeling and Analysis · Medical Image Segmentation Techniques · Human Pose and Action Recognition
