本文针对这种情况，并从实时应用的角度出发，提出一种鲁棒的基于互信息的实时立体匹配算法。
Aiming at this case, a robust and real-time stereo match algorithm based on mutual information is proposed in view of practical applications.
可以应用于对匹配算法鲁棒性要求比较高的立体视觉系统中。
So it can be used in stereo vision system which is in demand of high robustness for stereo matching algorithm.
该方法通过引入目标模型的鲁棒近邻信息以提高在环境不匹配情况下的似然比确认性能。
The method can improve the performance of likelihood ratio verification method in mismatch conditions by incorporating robust neighborhood information for a target model.
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