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Exploiting Hardware-Accelerated Occlusion Queries for Visibility Culling
Chih-Kang HSU Wen-Kai TAI Cheng-Chin CHIANG Mau-Tsuen YANG
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2005/07/01
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Computer Graphics
2-tier view frustum culling, occlusion culling, hardware-accelerated occlusion query, grid, front-to-back order, eye-siding number, interactive walkthrough,
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Visibility culling techniques have been studied extensively in computer graphics for interactive walkthrough applications in recent years. In this paper, a visibility culling approach by exploiting hardware-accelerated occlusion query is proposed. Organizing the regular grid representation of input scene as an octree-like hierarchy, a 2-tier view frustum culling algorithm is to efficiently cull away nodes invisible from a given viewpoint. Employing the eye-siding number of nodes, we can quickly enumerate an occlusion front-to-back order and effectively maximize the number of parallelizable occlusion queries for nodes while traversing the hierarchy. As experimental results show, our approach improves the overall performance in the test walkthrough.