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Title: Camera calibration combining images with two vanishing points
Authors: Γραμματικόπουλος, Λάζαρος
Καρράς, Γιώργος
Πέτσα, Έλλη
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Calibration;Geometry;Distortion;Bundle;Non-Metric;Βαθμονόμηση;Γεωμετρία;Παραμόρφωση
Subjects: Technology
Issue Date: 29-Jan-2015
Date of availability: 29-Jan-2015
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.
Language: English
Citation: 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:
Conference: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences.
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
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