Analysis of Multi-view Generation from Stereoscopic Images using the Depth Map
نویسندگان
چکیده
In this work, we generate multi-view images from stereoscopic texture images. After we estimate a disparity map using a stereo matching method, we detect an occlusion area in the acquired disparity map and refine the initial disparity values of the occlusion area. The refined disparity map is enhanced by a joint bilateral filter for boundary matching to improve the quality of synthesized multi-view images. Then, with the 2-view video-plus-disparity images, a virtual view image is generated by two different methods for intermediate view synthesis; VSRS3.5 and VSRS-1D-fast renderer. We also compare sequential and hierarchical structures for view synthesis. Experimental results show the characteristics of the view synthesis tools and structures. Keywords— auto-stereoscopic, virtual view image, disparity map, occlusion detection, hierarchical structure.
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