DocumentCode
3412803
Title
Depth image-based rendering with spatio-temporally consistent texture synthesis for 3-D video with global motion
Author
Koppel, M. ; Xi Wang ; Doshkov, D. ; Wiegand, Thomas ; Ndjiki-Nya, P.
Author_Institution
Image Commun. Group, Tech. Univ. of Berlin, Berlin, Germany
fYear
2012
fDate
Sept. 30 2012-Oct. 3 2012
Firstpage
2713
Lastpage
2716
Abstract
Depth image-based rendering (DIBR) techniques are advanced tools in 3-D video (3DV) applications that are used to synthesize a number of additional views in a multiview-video-plus-depth (MVD) representation. The MVD format consists of video and depth sequences for a limited number of original camera views of the same scene. An inherent problem of the view synthesis concept is given by image information that is occluded in the original views and becomes visible, in the extrapolated views. To handle these disoc-clussions, we propose a DIBR algorithm with advanced inpainting methods. Our renderer enhances visual experience by taking spatial and temporal texture consistency problems into account. In order to compensate the global motion in a sequence, image registration is incorporated into the framework. The proposed method shows objective and subjective gains compared to the state-of-the-art.
Keywords
cameras; image motion analysis; image registration; image representation; image sequences; image texture; rendering (computer graphics); video signal processing; 3-D video; 3DV; DIBR algorithm; MVD format; depth image-based rendering; depth sequence; disocclussion; extrapolated views; global motion; image information; image registration; multiview-video-plus-depth representation; original camera views; spatial texture consistency problems; spatio-temporally consistent texture synthesis; temporal texture; temporal texture consistency problems; video sequence; view synthesis concept; Cameras; Filling; Image registration; PSNR; Rendering (computer graphics); Transform coding; Vectors; 3-D video; Inpainting; depth image-based rendering (DIBR); texture synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location
Orlando, FL
ISSN
1522-4880
Print_ISBN
978-1-4673-2534-9
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2012.6467459
Filename
6467459
Link To Document