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      Sensor for High Speed, High Precision Measurement of 2-D Positions

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          Abstract

          A sensor system to measure the 2-D position of an object that intercepts a plane in space is presented in this paper. This sensor system was developed with the aim of measuring the height and lateral position of contact wires supplying power to electric locomotives. The sensor comprises two line-scans focused on the zone to be measured and positioned in such a way that their viewing planes are on the same plane. The report includes a mathematical model of the sensor system, and details the method used for calibrating the sensor system. The procedure used for high speed measurement of object position in space is also described, where measurement acquisition time was less than 0.7 ms. Finally, position measurement results verifying system performance in real time are given.

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          Geometric camera calibration using circular control points

          John Heikkila (2000)
          Article 0 comments Cited 74 times – based on 0 reviews     Review now
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            Composite structured light pattern for three-dimensional video.

            D Lau, L Hassebrook, C. Guan (2003)
            Based on recent discoveries, we introduce a method to project a single structured pattern onto an object and then reconstruct the three-dimensional range from the distortions in the reflected and captured image. Traditional structured light methods require several different patterns to recover the depth, without ambiguity or albedo sensitivity, and are corrupted by object movement during the projection/ capture process. Our method efficiently combines multiple patterns into a single composite pattern projection allowing for real-time implementations. Because structured light techniques require standard image capture and projection technology, unlike time of arrival techniques, they are relatively low cost.
            Article 0 comments Cited 12 times – based on 0 reviews     Review now
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              High-accuracy and robust localization of large control markers for geometric camera calibration.

              Damien Douxchamps, Kunihiro Chihara (2009)
              Accurate measurement of the position of features in an image is subject to a fundamental compromise: The features must be both small, to limit the effect of nonlinear distortions, and large, to limit the effect of noise and discretization. This constrains both the accuracy and the robustness of image measurements, which play an important role in geometric camera calibration as well as in all subsequent measurements based on that calibration. In this paper, we present a new geometric camera calibration technique that exploits the complete camera model during the localization of control markers, thereby abolishing the marker size compromise. Large markers allow a dense pattern to be used instead of a simple disc, resulting in a significant increase in accuracy and robustness. When highly planar markers are used, geometric camera calibration based on synthetic images leads to true errors of 0.002 pixels, even in the presence of artifacts such as noise, illumination gradients, compression, blurring, and limited dynamic range. The camera parameters are also accurately recovered, even for complex camera models.
              Article 0 comments Cited 8 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Sensors (Basel)
                Title: Sensors (Basel, Switzerland)
                Publisher: Molecular Diversity Preservation International (MDPI)
                ISSN (Electronic): 1424-8220
                Publication date Collection: 2009
                Publication date (Electronic): 3 November 2009
                Volume: 9
                Issue: 11
                Pages: 8810-8823
                Affiliations
                Electronics Department, High Polytechnic School, Alcalá University, Alcalá de Henares (28871), Madrid, Spain; E-Mails: mazo@ 123456depeca.uah.es (M.M); lazaro@ 123456depeca.uah.es (J.L.L.); angel_cano_78@ 123456yahoo.es (A.C)
                Author notes
                [* ]Author to whom correspondence should be addressed; E-Mail: caluna@ 123456depeca.uah.es ; Tel.: +34-918-856-551; Fax: +34-91-885-6591.
                Article
                Publisher ID: sensors-09-08810
                DOI: 10.3390/s91108810
                PMC ID: 3260614
                PubMed ID: 22291537
                SO-VID: 39264465-44ae-4b3b-b563-24e9e4a3af2a
                Copyright © © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
                License:

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                Date received : 28 August 2009
                Date revision received : 21 September 2009
                Date accepted : 23 October 2009
                Categories
                Subject: Article

                ScienceOpen disciplines: Biomedical engineering
                Keywords: computer vision,line-scan calibration,object position,2-d measurements,object detection
                Data availability:
                ScienceOpen disciplines: Biomedical engineering
                Keywords: computer vision, line-scan calibration, object position, 2-d measurements, object detection

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