协同光滑表面立体

T. Boult, Liang-Hua Chen
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引用次数: 17

摘要

提出了一种新的立体匹配算法。该算法将特征匹配、曲面重构和世界曲面分割这三个过程以一致和协同的方式结合在一起。这些阶段通常是连续的,通过整合这些阶段,该算法可以利用当前表面近似来消除潜在匹配的歧义。这将导致更高的数据密度、解释的一致性和更大的系统灵活性。给出了该算法在真实图像和合成图像上的实例,包括一个具有透明表面的场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synergistic Smooth Surface Stereo
This paper presents a new algorithm for stereo matching. The algo- rithm combines what are generally three processes, feature matching, surface reconstruction, and segmentation of world surfaces, in a consis- tent and synergistic way. By integrating these phases, which are usually sequential, the algorithm can make use of the current surface approxi- mation to disambiguate potential matches. This results in higher data densities, a consistency of interpretation, and greater system flexibility. Examples of the algorithm are presented on real and synthetic images, including a scene with a transparent surface.
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