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http://dx.doi.org/10.3745/KIPSTB.2006.13B.3.295

Enhanced Image Mapping Method for Computer-Generated Integral Imaging System  

Lee Bin-Na-Ra (상명대학교 컴퓨터과학과)
Cho Yong-Joo (상명대학교 미디어학부)
Park Kyoung-Shin (한국정보통신대학교 디지털미디어연구소)
Min Sung-Wook (미국 Virginia Tech)
Abstract
The integral imaging system is an auto-stereoscopic display that allows users to see 3D images without wearing special glasses. In the integral imaging system, the 3D object information is taken from several view points and stored as elemental images. Then, users can see a 3D reconstructed image by the elemental images displayed through a lens array. The elemental images can be created by computer graphics, which is referred to the computer-generated integral imaging. The process of creating the elemental images is called image mapping. There are some image mapping methods proposed in the past, such as PRR(Point Retracing Rendering), MVR(Multi-Viewpoint Rendering) and PGR(Parallel Group Rendering). However, they have problems with heavy rendering computations or performance barrier as the number of elemental lenses in the lens array increases. Thus, it is difficult to use them in real-time graphics applications, such as virtual reality or real-time, interactive games. In this paper, we propose a new image mapping method named VVR(Viewpoint Vector Rendering) that improves real-time rendering performance. This paper describes the concept of VVR first and the performance comparison of image mapping process with previous methods. Then, it discusses possible directions for the future improvements.
Keywords
Integral Imaging System; Auto-stereoscopic Display; Image Mapping; Real-time Graphics Rendering Algorithm;
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