论文标题
带有中间视图合成的鱼眼图像的差异估计
Disparity estimation for fisheye images with an application to intermediate view synthesis
论文作者
论文摘要
为了从立体声摄像机设置中获取深度信息，一种常见的方法是在两种视图之间进行差异估计；因此，生成的差异图也可用于合成任意的中间视图。差异估计的直接方法是块匹配，它在透视数据方面表现良好。但是，在处理非广告图像（例如从超广角鱼眼相机获得的）时，块匹配符合其极限。在本文中，引入了鱼眼图像的适应性差异估计方法。所提出的方法利用了有关鱼眼投影函数的知识，将鱼眼坐标网格转换为相应的透视网。因此，可以更准确地确定视图之间的偏移，从而产生更可靠的差异图。通过将视角网格重新注射到鱼眼域，保留了原始的鱼眼视野。在中间视图合成的背景下，提出了该方法的好处，为此提供了客观评估以及视觉上令人信服的结果。
To obtain depth information from a stereo camera setup, a common way is to conduct disparity estimation between the two views; the disparity map thus generated may then also be used to synthesize arbitrary intermediate views. A straightforward approach to disparity estimation is block matching, which performs well with perspective data. When dealing with non-perspective imagery such as obtained from ultra wide-angle fisheye cameras, however, block matching meets its limits. In this paper, an adapted disparity estimation approach for fisheye images is introduced. The proposed method exploits knowledge about the fisheye projection function to transform the fisheye coordinate grid to a corresponding perspective mesh. Offsets between views can thus be determined more accurately, resulting in more reliable disparity maps. By re-projecting the perspective mesh to the fisheye domain, the original fisheye field of view is retained. The benefit of the proposed method is demonstrated in the context of intermediate view synthesis, for which both objectively evaluated as well as visually convincing results are provided.
