Next Article in Journal
Routing Topologies of Wireless Sensor Networks for Health Monitoring of a Cultural Heritage Site
Next Article in Special Issue
Geometric Calibration and Validation of Kompsat-3A AEISS-A Camera
Previous Article in Journal
Predicting Gilthead Sea Bream (Sparus aurata) Freshness by a Novel Combined Technique of 3D Imaging and SW-NIR Spectral Analysis
Previous Article in Special Issue
Design and Evaluation of a Scalable and Reconfigurable Multi-Platform System for Acoustic Imaging
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(10), 1740; doi:10.3390/s16101740

Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models

1
Alpineon d.o.o., Ulica Iga Grudna 15, Ljubljana SI-1000, Slovenia
2
Faculty of Electrical Engineering, University of Ljubljana, Tržaška cesta 25, Ljubljana SI-1000, Slovenia
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 9 August 2016 / Revised: 9 October 2016 / Accepted: 10 October 2016 / Published: 19 October 2016
(This article belongs to the Special Issue Imaging: Sensors and Technologies)
View Full-Text   |   Download PDF [15699 KB, uploaded 19 October 2016]   |  

Abstract

Depth image acquisition with structured light approaches in outdoor environments is a challenging problem due to external factors, such as ambient sunlight, which commonly affect the acquisition procedure. This paper presents a novel structured light sensor designed specifically for operation in outdoor environments. The sensor exploits a modulated sequence of structured light projected onto the target scene to counteract environmental factors and estimate a spatial distortion map in a robust manner. The correspondence between the projected pattern and the estimated distortion map is then established using a probabilistic framework based on graphical models. Finally, the depth image of the target scene is reconstructed using a number of reference frames recorded during the calibration process. We evaluate the proposed sensor on experimental data in indoor and outdoor environments and present comparative experiments with other existing methods, as well as commercial sensors. View Full-Text
Keywords: depth imaging; modulated acquisition; structured light; triangulation; probabilistic graphical models; 3D reconstruction depth imaging; modulated acquisition; structured light; triangulation; probabilistic graphical models; 3D reconstruction
Figures

Figure 1

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

Kravanja, J.; Žganec, M.; Žganec-Gros, J.; Dobrišek, S.; Štruc, V. Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models. Sensors 2016, 16, 1740.

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