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Dense stereo fish-eye images using a modified hemispherical ASW algorithm
Journal of the Optical Society of America A ( IF 1.9 ) Pub Date : 2021-03-03 , DOI: 10.1364/josaa.413120
Yakun Zhang , Haibin Li , Wenming Zhang , Cunjun Xiao

In this paper, we concentrate on dense estimation of disparities between fish-eye images without corrections. Because of the distortions, fish-eye images cannot be processed directly utilizing the classical adaptive support weight (ASW) method for perspective images. To address this problem, we propose a modified hemispherical ASW method in a hemispherical framework. First, 3D epipolar curves are calculated directly on a hemispherical model to deal with the problem that 2D epipolar curves cannot cover the whole image disc. Then, a modified ASW method with hemispherical support window and hemispherical geodesic distance is presented. Moreover, a three-dimensional epipolar distance transform (3DEDT) is proposed and fused into the matching cost to cope with the textureless region problem. The benefit of this approach is demonstrated by realizing the dense stereo matching for fish-eye images using a public fish-eye data set, for which both objectively evaluated as well as visually convincing results are provided.

中文翻译:

使用改进的半球ASW算法生成密集的立体鱼眼图像

在本文中,我们专注于鱼眼图像之间的视差的密集估计,而无需进行校正。由于扭曲,无法使用经典的自适应支撑权重(ASW)方法对透视图图像直接处理鱼眼图像。为了解决这个问题,我们在半球框架中提出了一种改进的半球ASW方法。首先,直接在半球模型上计算3D对极曲线,以解决2D对极曲线无法覆盖整个图像光盘的问题。然后,提出了一种具有半球支撑窗和半球测地距离的改进的ASW方法。此外,提出了三维对极距离变换(3DEDT),并将其融合到匹配成本中以解决无纹理区域问题。
更新日期:2021-04-01
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