Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00138-012-0467-8
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dc.titleGeometrical approach for rectification of single-lens stereovision system with a triprism
dc.contributor.authorWang, D.
dc.contributor.authorLim, K.B.
dc.contributor.authorKee, W.L.
dc.date.accessioned2014-06-17T06:22:50Z
dc.date.available2014-06-17T06:22:50Z
dc.date.issued2013-05
dc.identifier.citationWang, D., Lim, K.B., Kee, W.L. (2013-05). Geometrical approach for rectification of single-lens stereovision system with a triprism. Machine Vision and Applications 24 (4) : 821-833. ScholarBank@NUS Repository. https://doi.org/10.1007/s00138-012-0467-8
dc.identifier.issn09328092
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/60406
dc.description.abstractThis paper proposes a new method for rectification of single-lens stereovision system with a triprism. The image plane of this camera will capture three different views of the same scene behind the filter in one shot. These three sub-images can be taken as the images captured by three virtual cameras which are generated by the three Face (3F) filter (triprism). A geometry-based method is proposed to determine the pose of virtual cameras and obtain the rotational and translational transformation matrix to real camera. At the same time, the parallelogram rule and refraction rule are employed to determine the desired sketch ray functions. Followed by this, the rectification transformation matrix which applied on the images captured using the system is computed. The approach based on geometry analysis of ray sketching is significantly a simpler implementation: it does not require the usual complicated calibration process. Experimental results are presented to show the effectiveness of the approach. © 2012 Springer-Verlag Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00138-012-0467-8
dc.sourceScopus
dc.subjectProjection matrix
dc.subjectRectification
dc.subjectTriprism
dc.subjectUncalibrated
dc.subjectvirtual camera
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1007/s00138-012-0467-8
dc.description.sourcetitleMachine Vision and Applications
dc.description.volume24
dc.description.issue4
dc.description.page821-833
dc.description.codenMVAPE
dc.identifier.isiut000317845700012
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