Path-following based Point Matching using Similarity Transformation

TL;DR

This paper introduces a path-following approach for 3D point matching that uses similarity transformations, resulting in more constrained and robust matching compared to previous affine-based methods.

Contribution

The paper adapts a path-following method to utilize similarity transformations, improving robustness and constraint in 3D point matching tasks.

Findings

Demonstrates improved robustness over state-of-the-art methods

Uses fewer transformation parameters for more constrained matching

Shows experimental validation of the proposed approach

Abstract

To address the problem of 3D point matching where the poses of two point sets are unknown, we adapt a recently proposed path following based method to use similarity transformation instead of the original affine transformation. The reduced number of transformation parameters leads to more constrained and desirable matching results. Experimental results demonstrate better robustness of the proposed method over state-of-the-art methods.