Publication
Title
Investigating new calibration methods without feature detection for TOF cameras
Author
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.
Language
English
Source (journal)
Image and vision computing. - Guildford
Publication
Guildford : 2015
ISSN
0262-8856
Volume/pages
43(2015), p. 50-62
ISI
000366069200005
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 20.10.2015
Last edited 25.09.2017
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