Koufogiannis E T, Sgouros N P, Sangriotis M S
Department of Informatics and Telecommunications, University of Athens Panepistimiopolis, Athens, Greece.
Appl Opt. 2013 Jul 10;52(20):4959-68. doi: 10.1364/AO.52.004959.
There are many different three-dimensional (3D) techniques to capture and deliver autostereoscopic 3D content. A promising technique that provides two-dimensional parallax as well as high-quality, full-color 3D content is integral imaging (InI). Misalignments between the lens arrays (LAs) and the camera charged coupled device, however, introduce geometric distortions in the acquired image that propagate through the different image processing stages and deteriorate the 3D effect. Here, we propose a method to accurately rectify the perspective distortion of integral images (InIms) generated using circular lenses. Using an edge-linking approach, we extracted elliptically shaped contours of elemental images in the perspectively distorted InIm. To calculate the rectification matrix, we used the images of the circular points. Subsequently, we applied a triangulation scheme followed by a statistical approach to accurately estimate the grid structure of the LA. Finally, we provided experimental results over a wide range of InIms to evaluate the robustness and accuracy of the proposed method using objective metrics.
有许多不同的三维（3D）技术来捕获和呈现自动立体3D内容。一种有前景的技术，即积分成像（InI），它既能提供二维视差，又能提供高质量的全彩3D内容。然而，透镜阵列（LA）与相机电荷耦合器件之间的不对准会在采集的图像中引入几何失真，这种失真会在不同的图像处理阶段传播并降低3D效果。在此，我们提出一种方法来精确校正使用圆形透镜生成的积分图像（InIm）的透视失真。我们采用边缘链接方法，在透视失真的InIm中提取元素图像的椭圆形轮廓。为了计算校正矩阵，我们使用了圆点图像。随后，我们应用三角测量方案，再采用统计方法来精确估计LA的网格结构。最后，我们给出了在广泛的InIm上的实验结果，以使用客观指标评估所提方法的稳健性和准确性。
