Multiresolution foliage for forest rendering

Deng Qingpiong, Zhang Xiao-Peng, Yang Gang, Jaeger Marc. 2010. Multiresolution foliage for forest rendering. Computer Animation and Virtual Worlds, 21 (1) : pp. 1-23.

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Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : Plants are important objects in virtual environments. High complexity of shape structure is found in plant communities. Level of detail (LOD) of plant geometric models becomes important for interactive forest rendering.We emphasize three major problems in current research: the time consumption in LOD model construction and extraction, the balance between visual effect and data compression, and the time consumption in the communication between Central Processing Unit (CPU) and Graphics Processing Unit (GPU).We present a new foliage simplification framework for LOD model and forest rendering. By an uneven subdivision of the tree crown volume, the cost for LOD model construction is drastically reduced. With a GPU-oriented design of LOD storage structure for foliage, the costly hierarchical traversal of a binary tree is replaced by a sequential lookup of an array. The structure also decreases the communication between the CPU and the GPU in rendering. In addition, Leaf density is introduced to adapt compression to the local distribution of leaves, so that more visually relevant details are kept. According to foliage nature (broad leaves or needles), higher compression are finally reached using mixed polygon/line models. This framework is implemented on virtual scenes of simulated trees with high detail. (Résumé d'auteur)

Mots-clés Agrovoc : Feuillage, Forêt, Arbre, Modèle mathématique, Imagerie

Classification Agris : U10 - Computer science, mathematics and statistics
F62 - Plant physiology - Growth and development
F50 - Plant structure
K01 - Forestry - General aspects

Champ stratégique Cirad : Hors axes (2005-2013)

Auteurs et affiliations

  • Deng Qingpiong, Beijing Forestry University (CHN)
  • Zhang Xiao-Peng, Institut d'automatique (CHN)
  • Yang Gang, Beijing Forestry University (CHN)
  • Jaeger Marc, CIRAD-BIOS-UMR AMAP (FRA)

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