Incremental Penetration Depth Estimation Between Convex Polytopes Using Dual-space Expansion  (Make Corrections)  
Young J. Kim, Ming C. Lin, Dinesh Manocha

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Abstract: We present a fast algorithm to estimate the penetration depth between convex polytopes in 3D. The algorithm incrementally seeks a "locally optimal solution" by walking on the surface of the Minkowski sums. The surface of the Minkowski sums is computed implicitly by constructing a local dual mapping on the Gauss map. We also present three heuristic techniques that are used to estimate the initial features used by the walking algorithm. We have implemented the algorithm and compared its... (Update)

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BibTeX entry:   (Update)

@misc{ kim-incremental,
  author = "Young J. Kim and Ming C. Lin and Dinesh Manocha",
  title = "Incremental Penetration Depth Estimation Between Convex Polytopes Using
    Dual-space Expansion",
  url = "citeseer.nj.nec.com/571142.html" }
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Documents on the same site (http://gamma.cs.unc.edu/DEEP/):
DEEP: Dual-space Expansion for Estimating Penetration depth.. - Kim, Lin, Manocha   (Correct)

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