DocumentCode :
613209
Title :
A convex decomposition methodology for collision detection
Author :
Chowriappa, Ashirwad ; Wirz, Raul ; Ashammagari, Aditya R. ; Kesavadas, Thenkurussi
Author_Institution :
Virtual Reality Lab., State Univ. of New York at Buffalo, Buffalo, NY, USA
fYear :
2013
fDate :
18-20 March 2013
Firstpage :
57
Lastpage :
58
Abstract :
In this paper, a shape decomposition methodology to decompose the cervical spine using an approximate convex methodology is proposed. The proposed methodology identifies the most concave L-ring neighborhood in a decomposition of a surface (manifold-2) and partitions it in order to reduce its concavity. A close approximation of the original surface by a set of convex surfaces hulls is then produced.
Keywords :
approximation theory; haptic interfaces; medical computing; mesh generation; surgery; approximation; cervical spine decomposition; collision detection; concave L-ring neighborhood; convex decomposition methodology; convex surface hull; haptic device; shape decomposition methodology; surgical simulator; Biological system modeling; Biopsy; Haptic interfaces; Load modeling; Needles; Shape; Silicon; Cervical spine; Convex decomposition; Haptic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality (VR), 2013 IEEE
Conference_Location :
Lake Buena Vista, FL
ISSN :
1087-8270
Print_ISBN :
978-1-4673-4795-2
Type :
conf
DOI :
10.1109/VR.2013.6549361
Filename :
6549361
Link To Document :
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