Proceedings of the Thirtieth Annual Symposium on Computational Geometry 2014
DOI: 10.1145/2582112.2582159
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Peeling Potatoes Near-Optimally in Near-Linear Time

Abstract: We consider the following geometric optimization problem: find a convex polygon of maximum area contained in a given simple polygon P with n vertices. We give a randomized near-linear-time (1 − ε)-approximation algorithm for this problem: in O(n(log 2 n + (1/ε 3 ) log n + 1/ε 4 )) time we find a convex polygon contained in P that, with probability at least 2/3, has area at least (1 − ε) times the area of an optimal solution. We also obtain similar results for the variant of computing a convex polygon inside P … Show more

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Cited by 8 publications
(17 citation statements)
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“…Let B be a point in V 1 (A). Using a similar approach to the one used by Cabello et al [6] in the proof of Theorem 1.1, we show that…”
Section: D(a)mentioning
confidence: 73%
See 3 more Smart Citations
“…Let B be a point in V 1 (A). Using a similar approach to the one used by Cabello et al [6] in the proof of Theorem 1.1, we show that…”
Section: D(a)mentioning
confidence: 73%
“…Clearly, the set T(A) is measurable. Summing the three estimates on areas of the trapezoids, we obtain The following lemma is a slightly more general version of a result of Cabello et al [6].…”
Section: Observe That (1 − γ)D(a R ) D(a R ) D(a R ) the Upper Bmentioning
confidence: 83%
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“…Our problem is close to the potato peeling [Goodman 1981], which finds a convex polygon/polyhedron of maximum size in a given simple 2D/3D shape. Only a few works have addressed this NP-hard problem [Borgefors and Strand 2005] [Deits and Tedrake 2015], mostly in 2D [Chang and Yap 1986] [Cabello et al 2014]. In sharp contrast, we employ multiple polyhedrons to approximate the object interior and enforce a number of geometric constraints for fabrication and assembly.…”
Section: Shape Approximation Using Polyhedronsmentioning
confidence: 99%