ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Conference Paper Depth Image Based Rendering for 3D Data Service Over T-DMB
Cited 12 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Kwang Hee Jung, Young Kyung Park, Joong Kyu Kim, Hyun Lee, Kug Jin Yun, Nam Ho Hur, Jin Woong Kim
Issue Date
2008-05
Citation
3DTV Conference (3DTV-CON) 2008, pp.237-240
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/3DTV.2008.4547852
Abstract
In this paper, we present a depth image based rendering technique for 3D data service over T-DMB. 3D service over T-DMB is very attractive because the single user environment of T-DMB is suitable to glassless 3D viewing. However, the bit budget for depth transmission over T-DMB is very limited with 32Kbps for data service. Depth image based rendering can resolve this problem because the corresponding depth sequence can be compressed effectively. However, depth image based rendering has also some problems such as a large computational cost for generating virtual images and generation of holes by disocclusion. Therefore, we propose the new depth preprocessing method based on adaptive smoothing and the simultaneous method for generating an auto-stereoscopic image. In the proposed depth preprocessing method, the discontinuity preserving smoothing, followed by the adaptive smoothing based on gradient direction, is conducted by generalizing the conduction function of the anisotropic smoothing. As a result, the reduction of both bit rate required for transmission and holes is achieved. Additionally, the simultaneous method for generating an auto-stereoscopic image can resolve problems of limited memory and large computational complexity. Some experiments show that the proposed scheme can be efficiently employed for 3D data service over T-DMB. ©2008 IEEE.
KSP Keywords
3D data, Adaptive smoothing, Anisotropic smoothing, Bit Rate, Computational complexity, Gradient direction, Simultaneous method, Single user, Stereoscopic image, User Environment, computational cost