Title
Investigating new calibration methods without feature detection for TOF cameras
Author
Faculty/Department
Faculty of Applied Engineering Sciences
Publication type
article
Publication
Guildford ,
Subject
Physics
Engineering sciences. Technology
Computer. Automation
Source (journal)
Image and vision computing. - Guildford
Volume/pages
43(2015) , p. 50-62
ISSN
0262-8856
ISI
000366069200005
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
We propose to represent a Time-of-Flight (TOF) camera by the map of "internal radial distances" (IRD), associating an intrinsic distance to each pixel, as an alternative for the classic pinhole model. This representation is more general than the perspective model and appears to be a natural concept for 3D-reconstruction and other applications of TOF cameras. In this new framework, calibrating a ToF camera comes down to the determination of this IRD-map. We show how this can be accompished by images of flat surfaces, without performing any feature detection. We prove deterministic calibration formulas, using one or more plane images. We also offer a numerical optimization method that in principle needs only one image of a flat surface. This paper has been recommended for acceptance by Peter Sturm.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/28c111/128262.pdf
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000366069200005&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000366069200005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Handle