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We propose an effective virtual view synthesis approach, which utilizes the technology of depth-image-based rendering (DIBR). In our scheme, two reference color images and their associated depth maps are used to generate the arbitrary virtual viewpoint. Firstly, the main and auxiliary viewpoint images are warped to the virtual viewpoint. After that, the cracks and error points are removed to enhance...
View synthesis prediction has been studied to achieve efficient inter-view prediction. Existing view synthesis prediction methods synthesize predicted pictures by using decoded pictures from the other views and geometric information of the scene. However, these conventional methods have no ability to compensate the inter-view difference in image signals caused by individual camera characteristics...
Time-of-Flight matrix sensors currently available allow for the acquisition of range maps at video rate but usually have a limited resolution. At the same time high resolution color cameras are widely available. This makes highly desirable methods that are able to exploit the combined use of ToF sensors and color cameras to obtain high resolution range maps. This work presents a novel interpolation...
In this paper we present a framework for the rendering of scenes for 3DTV applications. The goal of our work is to investigate ways to generate virtual views of a scene captured using a relatively small number of real cameras. The approach adopted uses per-pixel operations and therefore is suitable for fast parallel implementation. A depth map is implicitly generated for every of the virtual viewpoints...
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