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A new disocclusion filling approach in depth image based rendering for stereoscopic imaging
Yin H.1; Zhang L.1; Luo G.2; Zhu Y.2
2015-11-25
Conference NameThe Fourth International Conference On Control, Automation and Information Sciences
Source PublicationICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences
Pages313-317
Conference DateOCT 29-31, 2015
Conference PlaceChangshu, PEOPLES R CHINA
Abstract

Depth image based rendering (DIBR) is one of the key techniques in converting the 2D videos into the stereoscopic 3D ones. Warping process is the major step in DIBR, which generates the virtual left and right views with a number of black disocclusion areas. The disocclusion filling process is the main task in DIBR. In this paper, an improved disocclusion filling approach is proposed, which is based on the texture and gradient analysis. Inpainting algorithm is applied first based on the background texture and depth information to repair the disocclusion areas, which can be effectively reduce the large sizes of the disocclusion areas. Then a new gradient direction template is proposed and applied to fill the left disocclusion areas. Experiments are conducted to compare with other disocclusion filling approaches. Our results are promising.

KeywordDepth Image Based Rendering Disocclusion Filling Image Inpainting Stereoscopic Imaging
DOI10.1109/ICCAIS.2015.7338683
URLView the original
Language英語English
WOS IDWOS:000380433900044
Scopus ID2-s2.0-84960399163
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Universidade de Macau
2.Peking University
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yin H.,Zhang L.,Luo G.,et al. A new disocclusion filling approach in depth image based rendering for stereoscopic imaging[C], 2015, 313-317.
APA Yin H.., Zhang L.., Luo G.., & Zhu Y. (2015). A new disocclusion filling approach in depth image based rendering for stereoscopic imaging. ICCAIS 2015 - 4th International Conference on Control, Automation and Information Sciences, 313-317.
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