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11.3: Depth‐Image‐Based Rendering (DIBR) Using Disocclusion Area Restoration
Author(s) -
Jeong Young Ju,
Kwak Youngshin,
Han Youngran,
Jung Yong Ju,
Park DuSik
Publication year - 2009
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.3256505
Subject(s) - computer vision , artificial intelligence , depth map , computer science , rendering (computer graphics) , stereoscopy , image restoration , image based modeling and rendering , view synthesis , stereopsis , image (mathematics) , computer graphics (images) , image processing
The embodiment of 3D display has been evolving from stereoscopic 3D system into multi‐view 3D system, which provides images corresponding to the different visual points. Currently because of input source format such as two dimensional image, multi‐view display system needs technology to generate virtual view images of multi visual points. Due to the changes in the visual points, occlusion region of the original image becomes disoccluded area, resulting in problem to restore the output image information which is exclusive of input image. This paper proposes the method for generation of multi‐view images through two steps which are depth map refinement and disocclusion area estimation and restoration. The first step ‘depth map refinement’ removes depth map noise and compensates mismatches between RGB and depth, preserving boundaries and object shape. The second step ‘the disocclusion area estimation and restoration’ predicts disocclusion area using disparity and restore information of the area using neighbor frame's information which is the most similar with occlusion area.