575 research outputs found

    Probing Convex Polygons with a Wedge

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    Minimizing the number of probes is one of the main challenges in reconstructing geometric objects with probing devices. In this paper, we investigate the problem of using an ω\omega-wedge probing tool to determine the exact shape and orientation of a convex polygon. An ω\omega-wedge consists of two rays emanating from a point called the apex of the wedge and the two rays forming an angle ω\omega. To probe with an ω\omega-wedge, we set the direction that the apex of the probe has to follow, the line L→\overrightarrow L, and the initial orientation of the two rays. A valid ω\omega-probe of a convex polygon OO contains OO within the ω\omega-wedge and its outcome consists of the coordinates of the apex, the orientation of both rays and the coordinates of the closest (to the apex) points of contact between OO and each of the rays. We present algorithms minimizing the number of probes and prove their optimality. In particular, we show how to reconstruct a convex nn-gon (with all internal angles of size larger than ω\omega) using 2n−22n-2 ω\omega-probes; if ω=π/2\omega = \pi/2, the reconstruction uses 2n−32n-3 ω\omega-probes. We show that both results are optimal. Let NBN_B be the number of vertices of OO whose internal angle is at most ω\omega, (we show that 0≀NB≀30 \leq N_B \leq 3). We determine the shape and orientation of a general convex nn-gon with NB=1N_B=1 (respectively NB=2N_B=2, NB=3N_B=3) using 2n−12n-1 (respectively 2n+32n+3, 2n+52n+5) ω\omega-probes. We prove optimality for the first case. Assuming the algorithm knows the value of NBN_B in advance, the reconstruction of OO with NB=2N_B=2 or NB=3N_B=3 can be achieved with 2n+22n+2 probes,- which is optimal.Comment: 31 pages, 27 figure

    Model-based probing strategies for convex polygons

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    AbstractWe prove that n+4 finger probes are sufficient to determine the shape of a convex n-gon from a finite collection of models, improving the previous result of 2n+1. Further, we show that n−1 are necessary, proving this is optimal to within an additive constant. For line probes, we show that 2n+4 probes are sufficient and 2n−3 necessary. The difference between these results is particularly interesting in light of the duality relationship between finger and line probes

    An efficient proximity probing algorithm for metrology

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    Local tests for consistency of support hyperplane data

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    Caption title.Includes bibliographical references (p. 32-33).Supported by the U.S. Army Research Office. DAAL03-92-G-0115 DAAL03-92-G-0320 Supported by the Office of Naval Research. N00014-91-J-1004 Supported by the National Science Foundation. MIP-9015281 IRI-9209577William C. Karl ... [et al.]
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