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
Open AccessArticle

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
Sensors 2016, 16(10), 1740; https://doi.org/10.3390/s16101740
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)
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
Show Figures

Figure 1

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.

Article Access Map by Country/Region

1
Back to TopTop