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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.9: Image, Acoustic, Speech and Signal Processing II; 20020714-20020718; Orlando,FL; US >A Genetic Optimization Scheme for Feature-Based Stereo Matching
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A Genetic Optimization Scheme for Feature-Based Stereo Matching

机译：基于特征的立体匹配的遗传优化方案

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摘要

Stereo correspondence is one of the most active research areas in computer vision. It consists of identifying features in two or more stereo images that are generated by the same physical feature in the three-dimensional space. In our approach, the matching problem is turned into an optimization task where an objective function, representing the constraints on the solution, is to be minimized. The optimization process is then performed by means of a genetic algorithm with a new compact solution encoding. Experimental results are presented to demonstrate the effectiveness of the proposed approach for localizing objects of a dynamic scene seen by a linear stereoscopic sensor.
机译：立体对应是计算机视觉中最活跃的研究领域之一。它由识别三维空间中相同物理特征生成的两个或多个立体图像中的特征组成。在我们的方法中，将匹配问题转换为优化任务，其中代表解决方案约束的目标函数要最小化。然后，通过具有新的紧凑解编码的遗传算法执行优化过程。给出实验结果以证明所提出的方法用于定位由线性立体传感器看到的动态场景的对象的有效性。

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