2013 IEEE International Conference on Automation Science and Engineering (CASE) 2013
DOI: 10.1109/coase.2013.6653995
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An efficient proximity probing algorithm for metrology

Abstract: Metrology, the theoretical and practical study of measurement, has applications in automated manufacturing, inspection, robotics, surveying, and healthcare. An important problem within metrology is how to interactively use a measuring device, or probe, to determine some geometric property of an unknown object; this problem is known as geometric probing. In this paper, we study a type of proximity probe which, given a point, returns the distance to the boundary of the object in question. We consider the case wh… Show more

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Cited by 4 publications
(4 citation statements)
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“…Various models of computation utilizing oracles have been previously studied within the community. Examples of other models include nearest-neighbor oracles (i.e., black-box access to nearest neighbor queries over a point set P ) [HKMR16], and proximity probes (which given a convex polygon C and a query q, returns the distance from q to C) [PAvdSG13]. It is reasonable to ask what classification-type problems can be solved with few oracle queries when using separation oracles.…”
Section: Additional Motivation and Some Previous Workmentioning
confidence: 99%
“…Various models of computation utilizing oracles have been previously studied within the community. Examples of other models include nearest-neighbor oracles (i.e., black-box access to nearest neighbor queries over a point set P ) [HKMR16], and proximity probes (which given a convex polygon C and a query q, returns the distance from q to C) [PAvdSG13]. It is reasonable to ask what classification-type problems can be solved with few oracle queries when using separation oracles.…”
Section: Additional Motivation and Some Previous Workmentioning
confidence: 99%
“…Proximity queries have been applied before. Panahi et al [PASG13] use proximity probes on a convex polygon in the plane to reconstruct it exactly. Goel et al [GIV01], reduce the approximation versions of several problems like diameter, farthest neighbors, discrete center, metric facility location, bottleneck matching and minimum weight matching to nearest neighbor queries.…”
Section: Prior Work and Applicationsmentioning
confidence: 99%
“…We now present two geometric lemmas which are necessary for our bound on the number of undesirable confirmations; we omit the proofs here, but interested readers can find the full arguments in our technical report [21].…”
Section: B Undesirable Confirmationsmentioning
confidence: 99%
“…This is an expanded and updated version of our conference paper [20], where we used proximity probes to determine the shape of an unknown convex polygon. We refer to this as Problem 1 and present Algorithm 1 to solve it, as illustrated in Fig.…”
mentioning
confidence: 99%