基于可伸缩计算的视差图计算

Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications Pub Date : 2010-07-15 DOI:10.1109/MESA.2010.5552056

Jesús Ortiz, H. Calderon, J. Fontaine

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引用次数: 1

摘要

本文讨论了一种新的视差图计算算法的评价，该算法的特点是采用了一种新的杂散去除策略。使用该算法，我们以较低的性能代价消除了较高比例的错误值。当测试图像时，不正确的百分比分别减少了65%和85%。该算法是为具有大量并行处理元素的可扩展架构而设计的。它逐行工作，内存要求低。

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Disparity map computation on scalable computing

This paper addresses the evaluation of a new disparity map computing algorithm characterized by a novel spurious removal strategy. Using this algorithm we eliminate a high percentage of wrong values with a low performance penalty. When testing images, incorrect percentages were reduced by 65% and 85%. This algorithm has been designed for scalable architectures with massive parallel processing elements. It works line by line with low memory requirements.

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来源期刊

Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications

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