基于RGB比例空间的立体匹配算法

Stereo Matching Algorithm Based on RGB Proportional Space

实际场景中,由于光照条件不同,使从不同角度获得的、对应同一场景的图像像素对的RGB值不同,从而导致匹配错误,为了改善此问题,根据RGB色彩模型,形成RGB比例空间,提出基于RGB比例空间的自适应权值算法。实验结果表明,在光照条件不同时,与传统的基于RGB空间的匹配算法进行比较,该算法可以得到更准确的视差图。

In a real scene,due to different illuminant color,corresponding points that are projections of the same scene point may have different RGB values of pixels and performance of stereo matching algorithms can be degraded. In order to improve the performance of algorithms,RGB proportional space is proposed based on the color formation model and pixel values are transformed into this space. We present an adapt support-weight algorithm based on RGB proportional space. Experimental results show that compared with the algorithm in the traditional RGB vector space,our algorithm can obtain better disparity maps.