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首页> 外文期刊>WSEAS Transactions on Signal Processing >Generation of a Disparity Map Using the Segment Based Piecewise Linear Transformation
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Generation of a Disparity Map Using the Segment Based Piecewise Linear Transformation

机译：使用基于分段的分段线性变换生成视差图

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摘要

The generation of a disparity map usually requires a pair of precisely rectified stereo images, which implies that the images have epipolar geometry. In many practical cases, it is not easy to obtain a rectified stereo pair without using specialized stereo camera systems. We have proposed a new approach for generating a disparity map from a random stereo pair, called a segment- based piecewise linear transformation. The basic concept relies on the fact that displacements from piecewise image to image registration approximate to the disparity. Using this approach, segmentation of the left image is carried out first, followed by extraction of conjugate points from the stereo pair. To extract enough conjugate points, each of RGB band images are used separately. Finally, a set of linear transformation functions is determined using least squares method. By applying these functions, the displacement for each pixel is calculated to allow for the generation of a disparity map. To estimate the quality of the resulting disparity map, two stereo anaglyphs, one from the disparity map and the other from the original stereo pair, were produced and compared visually. The results show that the disparity map works well on both uniform and slanted disparity surfaces. An advantage of this approach is that it does not necessarily require stereo rectification, and that it is applicable to any set of stereo images that are not in epipolar geometry.
机译：视差图的生成通常需要一对经过精确校正的立体图像，这意味着这些图像具有对极几何形状。在许多实际情况下，不使用专用的立体摄像机系统就很难获得整流的立体声对。我们提出了一种从随机立体声对生成视差图的新方法，称为基于段的分段线性变换。基本概念依赖于以下事实：从分段图像到图像配准的位移近似于视差。使用这种方法，首先对左图像进行分割，然后从立体对中提取共轭点。为了提取足够的共轭点，分别使用每个RGB带图像。最后，使用最小二乘法确定一组线性变换函数。通过应用这些功能，计算每个像素的位移以允许生成视差图。为了估计所得视差图的质量，制作了两个立体浮雕，一个来自视差图，另一个来自原始立体对。结果表明，视差图在均匀和倾斜的视差表面上均能很好地工作。该方法的优点是它不一定需要立体整流，并且可应用于非对极几何形状的任何一组立体图像。

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