Title :
GPU Accelerated Plant Growth Modeling and Visualization
Author :
Zhao, Xing ; Hu, Jingjing ; Kang, MengZhen
Author_Institution :
Sch. of Math. Sci., Capital Normal Univ., Beijing, China
Abstract :
We present a GPU-accelerated algorithm for plant growth modeling and visualization. In this algorithm, plant topological structures and geometrical structures are represented separately. Plant topological structures are generated by dual-scale automaton, and geometrical structures are dynamically constructed in parallel by the geometry shader of Graphics Processing Unit (GPU). This scheme greatly reduces the amount of transferred data between main memory and GPU memory, and speeds up plant growth modeling and rendering without compromising image quality. An application for cotton growth modeling and visualization is given in detail to confirm the advantages of the proposed algorithm.
Keywords :
agricultural engineering; computational geometry; computer graphic equipment; computer vision; coprocessors; rendering (computer graphics); GPU; dual scale automaton; geometrical structure; geometry shader; graphics processing unit; image quality; plant growth modeling; plant growth visualization; plant topological structure; rendering; Acceleration; Application software; Automata; Computational modeling; Data visualization; Geometry; Graphics; Mathematical model; Rendering (computer graphics); Topology;
Conference_Titel :
Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2009 Third International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-7695-3988-1
Electronic_ISBN :
978-1-4244-6330-5
DOI :
10.1109/PMA.2009.43
