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首页> 外文会议>Conference on Algorithms and Systems for Optical Information Processing Ⅴ Jul 31-Aug 2, 2001, San Diego, USA >Adaptive Stereoscopic Image conversion of 2D Image
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Adaptive Stereoscopic Image conversion of 2D Image

机译：二维图像的自适应立体图像转换

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摘要

In recent years, there have been many researches being done throughout the world on the 3D image conversion of 2D image. However, 3D image conversion of 2D image has many problems on obtaining the optimal stereopsis. Stereopsis is dominated to relative position of several objects and depth information within image. Accordingly, in this paper, as a new adaptive scheme for stereoscopic image conversion of 2D image is suggested. Two input images acquired by Stereo Camera have different disparity information to each other. Disparity map, based on disparity information, presents mutually different occulusion region in the left/right image. These depend on the left view & right view and front & rear view of the virtual image plane. If arbitrary threshold values are applied to disparity map, we can get segmented objects from the input image. Using the principle of horizontal parallax, segmented objects are shifted with optimal screen disparity. In this case, we can improve stereopsis by differential shifting.
机译：近年来，全世界对2D图像的3D图像转换进行了大量研究。然而，2D图像的3D图像转换在获得最佳立体感方面存在许多问题。立体视觉主要取决于图像中几个对象的相对位置和深度信息。因此，在本文中，提出了一种用于二维图像的立体图像转换的新的自适应方案。立体声相机获取的两个输入图像具有彼此不同的视差信息。基于视差信息的视差图在左/右图像中呈现互不相同的遮挡区域。这些取决于虚拟图像平面的左视图和右视图以及前视图和后视图。如果将任意阈值应用于视差图，我们可以从输入图像中获取分割的对象。利用水平视差原理，可以以最佳屏幕视差移动分割的对象。在这种情况下，我们可以通过差分移位改善立体感。

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