Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/42984
Title: Compact Precomputed Voxelized Shadows Construction on GPU
Authors: Kuklin, N. A.
Kuklina, A. A.
Issue Date: 2016
Publisher: Полиграфия ООО «Офсет»
Citation: Kuklin N. A. Compact Precomputed Voxelized Shadows Construction on GPU / N. A. Kuklin, A. A. Kuklina // Труды Международной летней математической Школы-Конференции С. Б. Стечкина по теории функций, Таджикистан, Душанбе, 15–25 августа 2016 г. — Душанбе : Полиграфия ООО «Офсет», 2016. — С. 144.
Abstract: We consider the problem of producing high-quality shadows in real-time for 3D computer graphics software. In [1, 4] authors have proposed new data structure for object geometry representation by binary voxel grid. This binary data was packed to directed acyclic graph — traditional sparse voxel octree with merged identical subtrees. This approach has been extended to shadowing by voxelizing shadow volumes instead of object geometry [2, 3]. Obtained structure enables high-quality filtered shadows to be reconstructed for any point in the scene in real-time. In [1–4] authors have used CPU-based bottom-up algorithm that reduces sparse voxel octree to minimal directed acyclic graph. In the present paper we construct new parallel algorithm for such reduction that runs entirely on GPU.
URI: http://elar.urfu.ru/handle/10995/42984
Conference name: Международная летняя математическая Школа-Конференция С. Б. Стечкина по теории функций
Conference date: 15.08.2016-25.08.2016
Origin: Международная летняя математическая Школа-Конференция С. Б. Стечкина по теории функций. — Душанбе, 2016
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