NDLI: Efficient Occlusion Culling with Occupancy Proportion

Content Provider	IEEE Xplore Digital Library
Author	Bo Li Cheng Wang Lijun Li
Copyright Year	2008
Description	Author affiliation: Digital Eng. & Simulation Centre, Huazhong Univ. of Sci. & Technol., Wuhan (Bo Li; Cheng Wang; Lijun Li)
Abstract	Visibility culling is a fundamental problem in computer graphics. By combining object-space coherence with image-space coherence, this paper presents a novel algorithm for speeding up complex models rendering. The algorithm is based on the new concept of occupancy proportion (OP), which offers a simple, fast and efficient approach to visibility culling. We exploit the hardware accelerator character, and proposed an asynchronous occlusion queries method which significantly alleviates the affection caused by occlusion queries latency. The algorithm utilizes a hierarchy tree structure containing objects in the scene. The method in the paper can be easily integrated into majority visibility culling algorithms. The algorithm benefits for estimating object visibility and improves the efficiency of object visibility determination. Methodology and implementation details are provided, and experimental results demonstrate that the algorithm can obtain higher rendering efficiency than conservative object bounding box occlusion query method. The algorithm is suited for arbitrary structure scenes especially for slender scenes.
Starting Page	1058
Ending Page	1061
File Size	398283
Page Count	4
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.1403
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Computer simulation kD-tree Partitioning algorithms occlusion culling Delay Computer science Layout Coherence hardware query Rendering (computer graphics) occupancy proportion Hardware Software engineering
Content Type	Text
Resource Type	Article

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