Title :
Rapid Ball-and-Socket Joint Collision Detection
Author :
Cai, Ding ; Lee, Won-Sook ; Joslin, Chris
Author_Institution :
Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON
Abstract :
Physically based modeling simulations require efficient physical interaction between objects in a scene. We developed a rapid and accurate system to detect collision and compute approximate stress between spherical objects by rasterizing the polygons with distance data in spherical coordinate system. Our system achieves much faster and more accurate performance in this case compared to the existing approaches. Weighted sampling is studied based on the conchoid representation of the hip joint.
Keywords :
biomechanics; orthopaedics; ball-and-socket joint collision detection; conchoid representation; hip joint; rasterizing; spherical coordinate system; stress; weighted sampling; Bones; Hip; Information technology; Joints; Medical simulation; Object detection; Sampling methods; Shape; Stress; Testing; ball-and-socket joint; collision detection; conchoid representation; rasterization; sampling; spherical coordinate system;
Conference_Titel :
Medical Measurements and Applications, 2008. MeMeA 2008. IEEE International Workshop on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-1937-1
Electronic_ISBN :
978-1-4244-1938-8
DOI :
10.1109/MEMEA.2008.4542991