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Title:
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DISTANCE MAPS FOR COLLISION DETECTION OF DEFORMABLE MODELS |
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Author(s):
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Athanasios Vogiannou , Michael G. Strintzis , Konstantinos Moustakas , Dimitrios Tzovaras |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Yingcai Xiao and Eleonore ten Thij |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Collision Detection, Deformable Models |
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Type:
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Short Paper |
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First Page:
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216 |
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Last Page:
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220 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents a method for detecting collisions between a deformable and a rigid model. The proposed approach
builds on the remarkable results achieved by distance fields and SQ-maps by introducing distance maps with multiple
entries. The computational cost of the presented extension is of the same level as the previous methods but the memory
requirements are much lower because distance maps with multiple entries can be used directly with general non-convex
3D models. The proposed method can be used in various applications at interactive performance rates. |
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