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Linear-Time Computation of Segment-Based Stereo Correspondence

机译:基于段的立体对应的线性时间计算

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In this paper we describe a new stereo correspondence method. This method was proposed for a mobile robot navigation context. The proposed method is based on the work of Oliveira and Wazlavick originally presented in [1]. The original method has a low computational complexity (O(n)), where n is the number of pixels in the image. Despite the low computation time, this method achieves only an average score in the Middlebury evaluation [2], [3] concerning the obtained disparity map. In order to improve this score, we propose a new algorithm based on the original approach combined to a segmentation procedure called Color Structure Code [4]. This new algorithm is able to improve the results without adding significant processing time, and keeping the computational complexity of O(n). The proposed approach is able to calculate 10+ stereo frames per second in a single threaded CPU.
机译:在本文中,我们描述了一种新的立体声对应方法。提出了用于移动机器人导航上下文的该方法。所提出的方法是基于Oliveira和Wazlavick最初在[1]中提出的。原始方法的计算复杂度较低(O(n)),其中n是图像中的像素数。尽管计算时间很短,但该方法在获得的视差图的Middlebury评估[2],[3]中仅获得了平均分数。为了提高这个分数,我们提出了一种基于原始方法的新算法,该算法结合了一种称为颜色结构代码[4]的分割程序。这种新算法能够在不增加处理时间的情况下改善结果,并保持O(n)的计算复杂性。所提出的方法能够在单线程CPU中每秒计算10个以上的立体声帧。

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