文章基本信息

标题：Depth Based View Synthesis Using Graph Cuts for 3DTV
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作者：Anh Tu Tran ; Koichi Harada
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2013
卷号：4
期号：3
页码：327-335
DOI：10.4236/jsip.2013.43041
出版社：Scientific Research Publishing
摘要：In three-dimensional television (3DTV), an interactive free viewpoint selection application has received more attention so far. This paper presents a novel method that synthesizes a free-viewpoint based on multiple textures and depth maps in multi-view camera configuration. This method solves the cracks and holes problem due to sampling rate by performing an inverse warping to retrieve texture images. This step allows a simple and accurate re-sampling of synthetic pixels. To enforce the spatial consistency of color and remove the pixels wrapped incorrectly because of inaccuracy depth maps, we propose some processing steps. The warped depth and warped texture images are used to classify pixels as stable, unstable and disoccluded pixels. The stable pixels are used to create an initial new view by weighted interpolation. To refine the new view, Graph cuts are used to select the best candidates for each unstable pixel. Finally, the remaining disoccluded regions are filled by our inpainting method based on depth information and texture neighboring pixel values. Our experiment on several multi-view data sets is encouraging in both subjective and objective results. Furthermore, our proposal can flexibly use more than two views in multi-view system to create a new view with higher quality.
关键词：View Synthesis; Depth Image Based Rendering (DIBR); Free-Viewpoint TV; Graph Cuts