Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Teaching Camera Calibration by a Constructivist Methodology

Bibliographic Data

ID20295690
AuthorsDavid Samper (0000-0002-2521-2611, Universidad de Zaragoza), Jorge Santolaria (0000-0001-7316-0003, Universidad de Zaragoza), Jorge Juan Pastor, Jorge Juan Pastor Pérez (0000-0002-4251-7695, Universidad de Zaragoza), Juan José Aguilar Martín (0000-0002-8609-1358, Universidad de Zaragoza), Juan José Aguilar
Year2010
Volume53
Issue4
Pages646-652
Publication date2010-11-01
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2009.2039574
OpenAlexW2149792546
LanguageEN
References cited5

This article describes the Metrovisionlab simulation software and practical sessions designed to teach the most important machine vision camera calibration aspects in courses for senior undergraduate students. By following a constructivist methodology, having received introductory theoretical classes, students use the Metrovisionlab application to carry out a series of practical exercises with the aim of learning in a simple way: 1) the basic functioning of a camera; 2) how to calibrate a camera; 3) the most important calibration methods and their special characteristics; and 4) the generation and use of synthetic calibration points. Evaluations based on student feedback confirm that the use of Metrovisionlab as a teaching tool facilitates the learning process

Calibration · Camera resectioning · Carry (investment) · Constructivist teaching methods · Engineering drawing · Human–computer interaction · Mathematics education · Process (computing) · Programming language · Simple (philosophy) · Teaching method · 3D Surveying and Cultural Heritage · Advanced Measurement and Metrology Techniques · Artificial Intelligence · Computer Science · Engineering · Mathematics · Optical measurement and interference techniques · Psychology · Software

Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae