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warping of a spherical representation of image-based models on gpu
Zhu Jian; Liu Youquan; Bao Kai; Chang Yuanzhang; Wu Enhua
2009
会议名称VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry
会议录名称Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry
会议日期40878
会议地点Yokohama, Japan
出版地United States
ISBN9781605589121
部门归属(1) Department of Computer and Information Science, University of Macau, China; (2) School of Information Engineering, Changan University, Xian, China; (3) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing, China
摘要Image warping techniques are frequently used to render 3D scenes from images with depth information for VR applications. In this paper, we first propose a spherical representation of image-based models call the Spherical Depth Image (SDI). With two Warping Equations, at runtime we then pre-warp the image onto a view-dependent plane to get an intermediate image, which is further rendered onto the target image plane using standard texture mapping. Compared with other representations, SDI is sampled uniformly and completely, therefore it can reduce much unnecessary rendering overhead and the resultant rendered image is hole-free. To speed up the computation and utilize hardwares rasterization function for image interpolation, we transport the pre-warping process into GPUs Vertex Shader. Besides, high quality rendering effect in Pixel Shader can also be achieved as traditional geometry based methods. Finally, we overcome the approachs limitation of viewing region, and design a real-time walkthrough system with LOD representations of the SDIs. Copyright © 2009 by the Association for Computing Machinery, Inc.
关键词Computer Graphics Equipment Spheres Virtual Reality Weaving
主办者ACM SIGGRAPH
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8448
专题基础软件与系统重点实验室
推荐引用方式
GB/T 7714
Zhu Jian,Liu Youquan,Bao Kai,et al. warping of a spherical representation of image-based models on gpu[C]. United States,2009.
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