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

Tsatsakis, I; Kayafas, E; Loumos, V; Cambourakis, G

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	https://dspace.lib.ntua.gr/xmlui/handle/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