Paper Info
Title
Practical In Situ Implementation of a Multicamera Multisystem Calibration.
Abstract
Consumer-grade cameras are generally low-cost and available off-the-shelf, so having multicamera photogrammetric systems for 3D reconstruction is both financially feasible and practical. Such systems can be deployed in many different types of applications: infrastructure health monitoring, cultural heritage documentation, bio-medicine, as-built surveys, and indoor or outdoor mobile mapping for example. A geometric system calibration is usually necessary before a data acquisition mission in order for the results to have optimal accuracy. A typical system calibration must address the estimation of both the interior and the exterior, or relative, orientation parameters for each camera in the system. This article reviews different ways of performing a calibration of a photogrammetric system consisting of multiple cameras. It then proposes a methodology for the simultaneous estimation of both the interior and the relative orientation parameters which can work in several different types of scenarios including a multicamera multisystem calibration. A rigorous in situ system calibration was successfully implemented and tested. The same algorithm is able to handle the equivalent to a traditional-style bundle adjustment, that is, a network solution without constraints, for a single or multicamera calibrations, and the proposed bundle adjustment with built-in relative orientation constraints for the calibration of a system or multiple systems of cameras.
Year
DOI
Venue
2018
10.1155/2018/5351863
JOURNAL OF SENSORS
Field
DocType
Volume
Computer vision,Photogrammetry,Cultural heritage,Bundle adjustment,Data acquisition,Artificial intelligence,Engineering,Documentation,Mobile mapping,Calibration,3D reconstruction
Journal
2018
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
4
4
Name
Order
Citations
PageRank
Ivan Detchev131.20
Ayman Habib212.07
Mehdi Mazaheri300.34
Derek D. Lichti410215.00