Fully automatic camera calibration using regular planar patterns

dc.contributor.author	Ντούσκος, Β.	el
dc.contributor.author	Καλησπεράκης, Ηλίας	el
dc.contributor.author	Καρράς, Γιώργος	el
dc.contributor.author	Πέτσα, Έλλη	el
dc.date.accessioned	2015-01-29T12:11:35Z
dc.date.available	2015-01-29T12:11:35Z
dc.date.issued	2015-01-29
dc.identifier.uri	http://hdl.handle.net/11400/5056
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	Automation
dc.subject	Bundle
dc.subject	Calibration
dc.subject	Distortion
dc.subject	Non-Metric
dc.subject	Αυτοματισμός
dc.subject	Δέσμη
dc.subject	Βαθμονόμηση
dc.subject	Παραμόρφωση
dc.title	Fully automatic camera calibration using regular planar patterns	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	2008
heal.bibliographicCitation	Douskos, V., Kalisperakis, I., Karras, I. and Petsa, I. (2008). Fully automatic camera calibration using regular planar patterns. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B5, pp. 21-26. Available from: http://portal.survey.ntua.gr/main/labs/photo/staff/gkarras/Karras_ISPRS_2008..pdf.	en
heal.abstract	Estimation of camera geometry represents an essential task in photogrammetry and computer vision. Various algorithms for recover-ing camera parameters have been reported and reviewed in literature, relying on different camera models, algorithms and a priori ob-ject information. Simple 2D chess-board patterns, serving as test-fields for camera calibration, allow developing interesting automa-ted approaches based on feature extraction tools. Several such ‘calibration toolboxes’ are available on the Internet, requiring varying degrees of human interaction. The present contribution extends our implemented fully automatic algorithm for the exclusive purpose of camera calibration. The approach relies on image sets depicting chess-board patterns, on the sole assumption that these consist of alternating light and dark squares. Among points extracted via a sub-pixel Harris operator, the valid chess-board corner points are automatically identified and sorted in chess-board rows and columns by exploiting differences in brightness on either side of a valid line segment. All sorted nodes on each image are related to object nodes in systems possibly differing in rotation and translation (this is irrelevant for camera calibration). Using initial values for all unknown parameters estimated from the vanishing points of the two main chess-board directions, an iterative bundle adjustment recovers all camera geometry parameters (including image aspect ratio and skewness as well as lens distortions). Only points belonging to intersecting image lines are initially accepted as valid nodes; yet, after a first bundle solution, back-projection allows to identify and introduce into the adjustment all detected nodes. Results for data-sets from different cameras available on the Web and comparison with other accessible algorithms indicate that this fully automatic approach performs very well, at least with images typically acquired for calibration purposes (substantial image portions occupied by the chess-board pattern, no excessive irrelevant image detail).	en
heal.fullTextAvailability	true
heal.conferenceName	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences	en
heal.conferenceItemType	full paper