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Anisotropic reaction-diffusion stereo algorithm

机译:各向异性反应扩散立体声算法

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This paper presents a reaction-diffusion stereo algorithm with anisotropic diffusion. The reaction-diffusion stereo algorithm detects the stereo disparity, by finding a one-to-one stereo correspondence between the left and right images. There is often ambiguity in finding stereo correspondences because of a lack of texture or similar brightness patterns in objects. In addition, in occluded areas, there is no information by which to find stereo correspondence. Thus, it is necessary to fill in undetected areas of stereo disparity from neighbouring detected areas on a stereo disparity map according to the two constraints of uniqueness and continuity. The reaction-diffusion stereo algorithm realises the continuity constraint with the two different diffusion processes of activation and inhibition. Motivated by psychological evidence from actual human stereo depth perception, this paper proposes the imposition of anisotropic inhibitory diffusion on the algorithm. We apply the proposed anisotropic reaction-diffusion algorithm to several pairs of stereo images and evaluate its performance in comparison to the original reaction-diffusion stereo algorithm. Results of the evaluations show that the addition of anisotropic inhibitory diffusion is partially effective in depth discontinuity areas.
机译:本文提出了一种具有各向异性扩散的反应扩散立体声算法。将反应扩散立体声算法检测立体视差,通过寻找左和右图像之间的一对一的立体对应。在寻找立体声的对应中,由于物体中缺乏纹理或类似的亮度模式,通常存在歧义。此外,在遮挡区域中,没有信息,可以找到立体声通信。因此,需要根据唯一性和连续性的两个约束,填充从立体声差距图上的相邻检测区域的立体声差距的未检测到的区域。反应扩散立体声算法实现了与激活和抑制的两个不同扩散过程的连续性约束。本文提出了来自实际人体立体深度感知的心理证据,提出了对算法各向异性抑制扩散的施加。我们将所提出的各向异性反应扩散算法应用于几对立体图像,并与原始反作用扩散立体声算法相比评估其性能。评价结果表明,各向异性抑制扩散的增加​​在深度不连续区域中是部分有效的。

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