DocumentCode
1903445
Title
The Study of Corn Model Based on Collision Detection
Author
Zhao, Wei ; Jiang, Na
Author_Institution
Inf. Technol. Acad., Jilin Agric. Univ., Changchun, China
Volume
3
fYear
2012
fDate
23-25 March 2012
Firstpage
542
Lastpage
546
Abstract
In this paper, with corn as the research object, according to their physiological and morphological characteristics of corn to establish the appropriate model. In the modeling process, firstly, based on Green-Maize model to build the mode of corn production; Secondly, from the perspective of the establishment of its skeleton model, building the corn plant at different times to make a dynamic expression in key-frame technology; meanwhile, make use of the method of spline interpolation to draw the model of the corn leaf, the model makes the plant more vivid; Finally, I will add collision detection technology to the corn model, and use the key points storage to improve the time complexity of collision detection. This new method of the corn model improves the image more vivid, true and reliable. At the same time, the model can be widely applied to agricultural areas as well, which will greatly enhance the level of agricultural information.
Keywords
agricultural engineering; agriculture; crops; interpolation; splines (mathematics); virtual reality; agricultural information; collision detection technology; corn leaf; corn model; corn plant; corn production; green maize model; key points storage; morphological characteristics; physiological characteristics; spline interpolation; Biological system modeling; Biomass; Computational modeling; Data models; Solid modeling; Veins; collision detection; corn model; parametric key frame animation; save and access of key point; virtual plant;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.80
Filename
6188233
Link To Document