DocumentCode
2291195
Title
SinusCone ΘΦ-a ThetaPhi algorithm for human arm animation
Author
Jing, Huang ; Prakash, Edmond C.
Author_Institution
Center for Graphics & Image Technol., Nanyang Technol. Univ., Singapore
fYear
2000
fDate
2000
Firstpage
318
Lastpage
322
Abstract
Arm animation algorithms are often categorized by their constraint expansion strategy. One option is the geometric bounding polygon-cone strategy, a simple containment search strategy that traverses the search space in the order in which successor bounding polygon edges are generated. An alternative is the ThetaPhi-cone strategy, which was designed to make it possible to use domain-specific heuristic information. By exploring promising parts of the cone space first, ThetaPhi-cone algorithms generally are more efficient than polygon-cone algorithms
Keywords
computational geometry; computer animation; constraint theory; search problems; SinusCone ΘΦ; ThetaPhi algorithm; ThetaPhi-cone strategy; cone space; constraint expansion; containment search strategy; domain-specific heuristic information; geometric bounding polygon-cone strategy; human arm animation; Animation; Biological system modeling; Databases; Graphics; Humans; Interpolation; Motion control; Shape; Shoulder; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualization, 2000. Proceedings. IEEE International Conference on
Conference_Location
London
ISSN
1093-9547
Print_ISBN
0-7695-0743-3
Type
conf
DOI
10.1109/IV.2000.859775
Filename
859775
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