Title :
An Efficient Hole-Filling Approach Using Adaptive Rendering
Author :
Chao-Ho Chen ; Chun-Yi Sung ; Tsong-Yi Chen ; Bo-Ting Guo ; Chin-Hsing Chen
Author_Institution :
Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
Abstract :
Based on depth image based rendering (DIBR), this paper presents an efficient hole-filling approach using adaptive rendering for the 2D-to-3D conversion system, i.e., converting monocular image to multi-view virtual images. the traditional processing of DIBR includes depth map pre-processing, image 3D warping, and hole-filling. the depth map pre-processing stage is mainly dedicated to reduction of holes, but it will bring about geometric distortion and texture artifacts. Therefore, an efficient hole filling approach without the depth-map pre-processing is motivated for enhancing the quality of multi-view virtual images. the adaptive rendering strategy is employed to find the appropriate block for performing hole-filling process. Experimental results show that the proposed approach is superior in hole-filling ability to other methods.
Keywords :
geometry; image processing; image texture; rendering (computer graphics); 2D-to-3D conversion system; DIBR; adaptive rendering strategy; depth image based rendering; depth map pre-processing; geometric distortion; hole-filling approach; image 3D warping; monocular image; multiview virtual images; texture artifacts; Adaptive systems; Educational institutions; Equations; Filling; Filtering; Image edge detection; Rendering (computer graphics); 2D-to-3D conversion; depth image based rendering; hole-filling;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.46