A fast non-local based stereo matching algorithm using graph cuts

Doaa A. Altantawy, Marwa Obbaya, S. Kishk
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引用次数: 10

Abstract

In this paper, a new segment-based stereo matching algorithm (FastNL_Gc) is introduced. FastNL_Gc depends locally on the introduced Non-Local-Mean (NL-Mean) approach that provides a fast denoising technique with an edge preserving property in the initial disparity map estimation and globally on graph cuts for the disparity plane assignment using a new energy formulation of the stereo problem in segment domain. The methodology is tested on Middlebury stereo benchmark and the results indicate that the proposed FastNL_Gc method is compatible with the current state-of-the-art stereo matching algorithms in dealing with the conventionally difficult areas, such as textureless regions, disparity discontinuous boundaries and occluded portions.
一种基于图切的快速非局部立体匹配算法
本文提出了一种新的基于分段的立体匹配算法FastNL_Gc。FastNL_Gc局部依赖于引入的非局部均值(NL-Mean)方法,该方法在初始视差图估计中提供了一种具有边缘保持特性的快速去噪技术,全局依赖于使用分段域立体问题的新能量公式进行视差平面分配的图切割。在Middlebury立体基准上对该方法进行了测试,结果表明,FastNL_Gc方法在处理无纹理区域、视差不连续边界和遮挡部分等常规困难区域方面与当前最先进的立体匹配算法兼容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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