2006Unpublished venueRequires access

Accelerating Depth Image-Based Rendering Using GPU

Manhee Lee, Inkyu Park

Open publisher page 0 citations

Abstract

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 re-sponse 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. 1

About this research paper

What this paper is about

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 re-sponse 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. 1

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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 re-sponse 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. 1

Key concepts: Shader, Rendering (computer graphics), Computer science, OpenGL, Software rendering, Computer graphics (images), Tiled rendering, Real-time rendering

Related papers

Back to paper searchBrowse research topicsOriginal source
Accelerating Depth Image-Based Rendering Using GPU — Research Paper | ScholarLens