A robust image-based method for 3D registration

Ting Li
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引用次数: 1

Abstract

Today modeling from reality receives more and more attention. In this paper, we present a novel image-based 3D registration method. Compared with a previous one it does not require accurate starting position, albedo and geometric invariants, but has to address the more apparent mismatch problems. First, distinctive corner points, which act as salient features for subsequent image matching, are detected via the minimal eigenvalue of the auto-correlation matrix. Then, a verification scheme discards the potential mismatches by thresholds of the correlation coefficients and point-to-point distances. Experimental results demonstrate the superiority of our proposed verification scheme to the previous one using only correlation coefficients under the relaxed conditions.
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一种鲁棒的基于图像的三维配准方法
如今,贴近现实的建模越来越受到人们的关注。本文提出了一种新的基于图像的三维配准方法。与以前的方法相比,它不需要精确的起始位置、反照率和几何不变量,但必须解决更明显的失配问题。首先,通过自相关矩阵的最小特征值检测作为后续图像匹配的显著特征的独特角点。然后,验证方案通过相关系数和点对点距离的阈值来丢弃潜在的不匹配。实验结果表明,在宽松条件下,本文提出的验证方案优于仅使用相关系数的验证方案。
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