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Hybrid Silhouette Detection for Real-Time Shadow Volume

Kolivand, H and Sunar, MS (2011) Hybrid Silhouette Detection for Real-Time Shadow Volume. The international journal of virtual reality : a multimedia publication for professionals, 10 (4). pp. 43-51. ISSN 1081-1451

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In shadow volume, the most expensive computation is silhouette detection. In this paper, the triangular algorithm (TA) and visible-non-visible (VnV) algorithm that are famous algorithms to detect the outline of occluder are renewed. In this paper, we proposed a hybrid algorithm based on TA and VnV, namely Hybrid Silhouette Detection (HSD) algorithm. HSD is an improved algorithm that can recognize silhouette for generating real-time shadow volume. Our algorithm involves detecting silhouette and decreases the cost of implementation for shadow volume rendering. The last shadow volume algorithm using stencil buffer is rewritten and an algorithm for shadow volume using HSD with respect of culling invisible parts of scene is proposed. An accurate mathematical comparison between TA, VnV and HSD algorithms is undertaken. The obtained results confirm superiority of our proposed algorithm in terms of processing and rendering time. Our algorithm can be used in virtual environment to increase the frame per second and to enhance the realistic of games programming.

Item Type: Article
Uncontrolled Keywords: 0801 Artificial Intelligence And Image Processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: CERV - Centre Européen de Réalité Virtuelle
Date Deposited: 28 Feb 2017 13:06
Last Modified: 20 Apr 2022 09:54
URI: https://researchonline.ljmu.ac.uk/id/eprint/5725
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