DocumentCode :
2838652
Title :
Collision Detection Algorithm in 3D Gravity & Magnetic Interactive Interpretation Platform
Author :
Xiao Dunhui ; Hu Guangdao ; Yu Bingfei
Author_Institution :
State Key Lab. of Geo-Processes & Miner. Resources, China Univ. of Geosci., Wuhan, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
It is necessary to embeded the collision detection algorithm into 3D gravity & magnetic interactive interpretation platform because overlap of the geological bodies lead to repeated forward computation which will result in wrong interpretation of the data. In this paper, we applied the collision detection algorithm into the field of geology exploration initially to solve the problem of 3D geological shapes´ overlap. We presented a new algorithm GSCDA (group selection collision detection algorithm) which can minimize the number of geogical bodies that to be computed and satisfy the requirement of real-time. Then, intersection algorithm for regular and arbitrary complex geological models are described. GSCDA is realized in my 3D gravity & magnetic interpretation system using VC++ and OpenGL. The algorithm also have referenced meaning to geological bodies´ intersection in 3D geological modeling field.
Keywords :
data visualisation; geology; man-machine systems; software tools; 3D geological shape; 3D gravity; GSCDA; OpenGL; VC++; geological modeling field; geology exploration; group selection collision detection algorithm; magnetic interactive interpretation platform; man-machine interaction; visualization technology; Clustering algorithms; Detection algorithms; Geology; Geoscience and remote sensing; Gravity; Laboratories; Layout; Mineral resources; Testing; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5364615
Filename :
5364615
Link To Document :
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