Using low cost video cameras in automation a close range photogrammetry approach

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dc.contributor.author Tsatsakis, I en
dc.contributor.author Kayafas, E en
dc.contributor.author Loumos, V en
dc.contributor.author Cambourakis, G en
dc.date.accessioned 2014-03-01T02:41:08Z
dc.date.available 2014-03-01T02:41:08Z
dc.date.issued 1995 en
dc.identifier.uri http://hdl.handle.net/123456789/30385
dc.subject Analytical Model en
dc.subject Close Range Photogrammetry en
dc.subject Environmental Parameter en
dc.subject Lens Distortion en
dc.subject Mathematical Model en
dc.subject Systematic Error en
dc.subject Three Dimensional en
dc.subject.other Automation en
dc.subject.other Calibration en
dc.subject.other Decoding en
dc.subject.other Errors en
dc.subject.other Photogrammetry en
dc.subject.other Signal distortion en
dc.subject.other Table lookup en
dc.subject.other Transducers en
dc.subject.other Video recording en
dc.subject.other Decoder en
dc.subject.other Linear displacement transducer en
dc.subject.other Video cameras en
dc.title Using low cost video cameras in automation a close range photogrammetry approach en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISIE.1995.497240 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISIE.1995.497240 en
heal.publicationDate 1995 en
heal.abstract In this paper a new calibration procedure is introduced which simplifies the estimation of systematic errors in low cost video cameras, improves their accuracy and make them suitable for three-dimensional measurements. Photogrammetry utilizes two kinds of cameras; metric, where calibration is performed with expensive equipment (in which interior parameters and the mathematical models for lens distortion are well-defined), or non-metric, where the systematic coordinate errors are compensated by analytical models applied directly to the photogrammetric projective equations (self calibration). These methods imply an accurate determination of dimensions of pixels while geometric degradation of the CCD array is approached by polynomial coefficients. Low cost video cameras are expected to have significant deviation of their nominal settings, making the estimation of distortions in combination with the influence of environmental parameters, a hard working problem. As it will be explained, a calibration method that could confront these problems in the application field, using equipment with reasonable costs, will be a good improvement. The proposed method is depicted briefly in fig. 1. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName IEEE International Symposium on Industrial Electronics en
dc.identifier.doi 10.1109/ISIE.1995.497240 en
dc.identifier.volume 2 en
dc.identifier.spage 523 en
dc.identifier.epage 528 en

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