Next Article in Journal
Sample-Wise Aiding in GPS/INS Ultra-Tight Integration for High-Dynamic, High-Precision Tracking
Previous Article in Journal
Energy Calibration of a CdTe Photon Counting Spectral Detector with Consideration of its Non-Convergent Behavior
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(4), 516; doi:10.3390/s16040516

Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System

Department of Precision Machinery & Precision Instrumentation, University of Science and Technology of China, Hefei 230022, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 29 December 2015 / Revised: 18 March 2016 / Accepted: 29 March 2016 / Published: 11 April 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [2896 KB, uploaded 11 April 2016]   |  

Abstract

A new compact large field of view (FOV) multi-camera system is introduced. The camera is based on seven tiny complementary metal-oxide-semiconductor sensor modules covering over 160° × 160° FOV. Although image stitching has been studied extensively, sensor and lens differences have not been considered in previous multi-camera devices. In this study, we have calibrated the photometric characteristics of the multi-camera device. Lenses were not mounted on the sensor in the process of radiometric response calibration to eliminate the influence of the focusing effect of uniform light from an integrating sphere. Linearity range of the radiometric response, non-linearity response characteristics, sensitivity, and dark current of the camera response function are presented. The R, G, and B channels have different responses for the same illuminance. Vignetting artifact patterns have been tested. The actual luminance of the object is retrieved by sensor calibration results, and is used to blend images to make panoramas reflect the objective luminance more objectively. This compensates for the limitation of stitching images that are more realistic only through the smoothing method. The dynamic range limitation of can be resolved by using multiple cameras that cover a large field of view instead of a single image sensor with a wide-angle lens. The dynamic range is expanded by 48-fold in this system. We can obtain seven images in one shot with this multi-camera system, at 13 frames per second. View Full-Text
Keywords: large field of view; multi-camera system; camera response function (CRF); lens vignetting model; dynamic range large field of view; multi-camera system; camera response function (CRF); lens vignetting model; dynamic range
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lu, Y.; Wang, K.; Fan, G. Photometric Calibration and Image Stitching for a Large Field of View Multi-Camera System. Sensors 2016, 16, 516.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top