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Stereoscopic Image Rendering Based on Depth Maps Created From Blur and Edge Information

机译:基于从模糊和边缘信息创建的深度图的立体图像渲染

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Depth image based rendering (DIBR) is suited for 3D-TV and for autostereoscopic multiview displays. With DIBR, each 2D image captured with a camera at a given position has an associated depth map. This map is used to process the original 2D image so as to generate new images as if they were taken from different camera viewpoints. In the present study we examined the depth and image quality of stereoscopic 3D images that were generated using surrogate depth maps, that is, maps that were created using blur and edge information from the original 2D images. Depth maps were created with three different methods. Formal subjective assessments indicated that the stereoscopic images thus created have enhanced depth quality, with a marginal loss in image quality, when compared to the original non-stereoscopic images. This finding of enhanced depth is surprising because the surrogate depth maps contained limited depth information and mainly at object boundaries. We speculate that the visual system combines the information from pictorial depth cues and from depth interpolation between object boundaries and edges to arrive at an overall perception of depth. The methods for creating the depth maps for stereoscopic imaging that were investigated in this study might be used in applications where depth accuracy is not critical.
机译:基于深度图像的渲染(DIBR)适用于3D-TV和自动立体多视图显示。使用DIBR,相机在给定位置捕获的每个2D图像都具有关联的深度图。该地图用于处理原始2D图像,以便生成新图像,就好像它们是从不同的相机视点拍摄的一样。在本研究中,我们检查了使用替代深度图(即使用原始2D图像的模糊和边缘信息创建的图)生成的立体3D图像的深度和图像质量。用三种不同的方法创建深度图。正式的主观评估表明,与原始非立体图像相比,这样创建的立体图像具有增强的深度质量,并且图像质量略有损失。深度增加的发现令人惊讶,因为替代深度图包含有限的深度信息,并且主要在对象边界处。我们推测视觉系统结合了来自图像深度提示以及对象边界和边缘之间的深度插值的信息,从而获得了对深度的整体感知。本研究中研究的创建立体成像深度图的方法可能用于深度精度不是很关键的应用中。

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