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dc.contributor.authorYuan, Chunrong
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG '2006: Posters proceedings: The 14-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, January 31 – February 2, 2006, p. 43-44.en
dc.description.abstractCamera calibration is an essential step for 3D object recognition and reconstruction. In this work, we propose a novel method for the automatic localization of control points and present a simple and yet robust online camera calibration system. First a planar calibration pattern with circular control points is designed. These points are then automatically segmented and localized by integrating information resulted from two complementary segmentation methods: region extraction and contour detection. After the calibration pattern has been shown to the system at a few locations, both the intrinsic and extrinsic camera parameters can be determined. The main advantage of this approach is that the metric measurement of the calibration pattern in the image plane is done purely automatically. We have implemented the whole system on a windows platform. Tests with USB cameras in different configurations and applications show the efficiency as well as the accuracy of the proposed approach.en
dc.format2 s.cs
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2006: Posters proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectkalibrace kamerycs
dc.subjectsegmentace obrazucs
dc.subjectautomatická lokalizace boducs
dc.titleAutomatic control point segmentation and localization for online camera calibrationen
dc.typekonferenční příspěvekcs
dc.subject.translatedcamera calibrationen
dc.subject.translatedimage segmentationen
dc.subject.translatedautomatic point localizationen
Appears in Collections:WSCG '2006: Posters proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/878

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