DocumentCode :
2528582
Title :
Distance Dependent Depth Filtering in 3D Warping for 3DTV
Author :
Daribo, Ismaël ; Tillier, Christophe ; Pesquet-Popescu, Béatrice
Author_Institution :
Ecole Nat. Superieure des Telecommun., Paris
fYear :
2007
fDate :
1-3 Oct. 2007
Firstpage :
312
Lastpage :
315
Abstract :
Depth image-based rendering (DIBR) is the process of synthesizing some new "virtual" views from one "real" view and the associated per-pixel depth information. The most important problem in this process is to deal with the newly exposed areas (holes) appearing in the virtual images. One common solution to decrease the number of holes is to pre-process the depth map, before the warping. In this paper, we present a new filtering technique for depth image-based rendering. In order to reduce or completely remove the newly exposed areas an efficient smoothing is necessary for the sharp depth changes near object boundaries. In the meantime it is useless to filter the smooth areas in the depth map. Our solution is based on a weighted Gaussian filter taking into account the distance to the contours. By this way, the geometric distortions and the computation time are reduced compared to a uniform filtering of the depth map. We present some results in the context of creation of stereoscopic views for 3D TV.
Keywords :
image processing; image resolution; smoothing methods; 3D warping; 3DTV; distance dependent depth filtering; image-based rendering; per-pixel depth information; stereoscopic views; weighted Gaussian filter; Bit rate; Cameras; Data mining; Image processing; Information filtering; Information filters; Rendering (computer graphics); Signal processing; Signal synthesis; TV broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on
Conference_Location :
Crete
Print_ISBN :
978-1-4244-1274-7
Type :
conf
DOI :
10.1109/MMSP.2007.4412880
Filename :
4412880
Link To Document :
بازگشت