An improved 3D shape context registration method for non-rigid surface registration

Abstract

ABSTRACT3D shape context is a method to define matching points between similar shapes as a pre-processing step to non-rigid registration. The main limitation of the approach is point mismatching, which includes long geodesic distance mismatch and neighbors crossing mismatch. In this paper, we propose a topological structure verification method to correct the long geodesic distance mismatch and a correspondence field smoothing method to correct the neighbors crossing mismatch. A robust 3D shape context model is proposed and further combined with thin-plate spline model for non-rigid surface registration. The method was tested on phantoms and rat hind limb skeletons from micro CT images. The results from experiments on mouse hind limb skeletons indicate that the approach is robust.

A non-rigid registration method for mouse whole body skeleton registration

“…The method was based on 3D shape context model but provided effective point mismatching correction algorithm, which uses topological structure correction (TSC) method for correcting long geodesic distance mismatch (LGDM) points and correspondence field smoothing (CFS) method for correcting neighbors crossing mismatch (NCM) points. Please see corresponding paper presented at this conference for details [16]. Here, the improved 3D shape context method is used for correct corresponding points matching between the source and target …”