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Accelerating Depth Image-Based Rendering Using GPU.

Authors :
Gunsel, Bilge
Jain, Anil K.
Tekalp, A. Murat
Sankur, Bülent
Man Hee Lee
In Kyu Park
Source :
Multimedia Content Representation, Classification & Security; 2006, p562-569, 8p
Publication Year :
2006

Abstract

In this paper, we propose a practical method for hardware-accelerated rendering of the depth image-based representation (DIBR) object, which is defined in MPEG-4 Animation Framework eXtension (AFX). The proposed method overcomes the drawbacks of the conventional rendering, i.e. it is slow since it is hardly assisted by graphics hardware and surface lighting is static. Utilizing the new features of modern graphic processing unit (GPU) and programmable shader support, we develop an efficient hardware-accelerated rendering algorithm of depth image-based 3D object. Surface rendering in response of varying illumination is performed inside the vertex shader while adaptive point splatting is performed inside the fragment shader. Experimental results show that the rendering speed increases considerably compared with the software-based rendering and the conventional OpenGL-based rendering method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540393924
Database :
Complementary Index
Journal :
Multimedia Content Representation, Classification & Security
Publication Type :
Book
Accession number :
33001627
Full Text :
https://doi.org/10.1007/11848035_74