Camera calibration combining images with two vanishing points

dc.contributor.author	Γραμματικόπουλος, Λάζαρος	el
dc.contributor.author	Καρράς, Γιώργος	el
dc.contributor.author	Πέτσα, Έλλη	el
dc.date.accessioned	2015-01-29T09:35:58Z
dc.date.available	2015-01-29T09:35:58Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5020
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	Calibration
dc.subject	Geometry
dc.subject	Distortion
dc.subject	Bundle
dc.subject	Non-Metric
dc.subject	Βαθμονόμηση
dc.subject	Γεωμετρία
dc.subject	Παραμόρφωση
dc.title	Camera calibration combining images with two vanishing points	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Photogrammetry
heal.classification	Τεχνολογία
heal.classification	Φωτογραμμετρία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C02980
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Φωτογραμμετρία
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας, Σχολή Τεχνολογικών Εφαρμογών, Τμήμα Μηχανικών Πληροφορικής και Μηχανικών Τοπογραφίας & Γεωπληροφορικής	el
heal.publicationDate	2004
heal.bibliographicCitation	Grammatikopoulos, L., Karras, G. and Petsa, E. (2004). Camera calibration combining images with two vanishing points. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 35(5), pp. 99-104. Available from: http://www.isprs.org/proceedings/XXXV/congress/comm5/papers/530.pdf.	en
heal.abstract	Single image calibration is a fundamental task in photogrammetry and computer vision. It is known that camera constant and princi-pal point can be recovered using exclusively the vanishing points of three orthogonal directions. Yet, three reliable and well-distribu-ted vanishing points are not always available. On the other hand, two vanishing points basically allow only estimation of the camera constant (assuming a known principal point location). Here, a camera calibration approach is presented, which exploits the existence of only two vanishing points on several independent images. Using the relation between two vanishing points of orthogonal direc-tions and the camera parameters, the algorithm relies on direct geometric reasoning regarding the loci of the projection centres in the image system (actually a geometric interpretation of the constraint imposed by two orthogonal vanishing points on the ‘image of the absolute conic’). Introducing point measurements on two sets of converging image lines as observations, the interior orientation pa-rameters (including radial lens distortion) are estimated from a minimum of three images. Recovery of image aspect ratio is possible, too, at the expense of an additional image. Apart from line directions in space, full camera calibration is here independent from any exterior metric information (known points, lengths, length ratios etc.). Besides, since the sole requirement is two vanishing points of orthogonal directions on several images, the imaged scenes may simply be planar. Furthermore, calibration with images of 2D objects and/or ‘weak perspectives’ of 3D objects is expected to be more precise than single image approaches using 3D objects. Finally, no feature correspondences among views are re-quired here; hence, images of totally different objects can be used. In this sense, one may still refer to a ‘single-image’ approach. The implemented algorithm has been successfully evaluated with simulated and real data, and its results have been compared to photo-grammetric bundle adjustment and plane-based calibration.	en
heal.fullTextAvailability	true
heal.conferenceName	International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.	en
heal.conferenceItemType	full paper