基于深度图层表示的新型视图合成

Nurulfajar Abd Manap, J. Soraghan
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引用次数: 14

摘要

提出了一种将立体匹配和视点间插值相结合的深度图和虚拟视点图像获取方法。提出了一种基于深度图层表示立体图像对的视图合成方法。该方法的主要思想是根据相应点的视差距离将深度图划分为若干层深度。通过屏蔽特定的深度层,这种新的视图合成可以独立地插值到每一层深度。最后,整层得到的新视图合成被平铺成一个单层。由于图像视图合成是在单独的图层中进行的,因此提取的新虚拟对象可以叠加到另一个3D场景中。该方法适用于少量摄像机配置的免费视点视频应用。实验结果表明,该算法可以提高深度图的查找效率和新的虚拟视图图像的合成效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel view synthesis based on depth map layers representation
This paper presents a method that jointly performs stereo matching and inter-view interpolation to obtain the depth map and virtual view image. A novel view synthesis method based on depth map layers representation of the stereo image pairs is proposed. The main idea of this approach is to separate the depth map into several layers of depth based on the disparity distance of the corresponding points. The novel view synthesis can be interpolated independently to each layer of depth by masking the particular depth layer. The final novel view synthesis obtained with the entire layers flattens into a single layer. Since the image view synthesis is performed in separate layers, the extracted new virtual object can be superimposed onto another 3D scene. The method is useful for free viewpoint video application with a small number of camera configurations. Based on the experimental results, it shows that the algorithm could improve the efficiency of finding the depth map and to synthesis the new virtual view images.
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