Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models
AbstractDepth 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
Scifeed alert for new publicationsNever 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
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.
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(10):1740.Chicago/Turabian Style
Kravanja, Jaka; Žganec, Mario; Žganec-Gros, Jerneja; Dobrišek, Simon; Štruc, Vitomir. 2016. "Robust Depth Image Acquisition Using Modulated Pattern Projection and Probabilistic Graphical Models." Sensors 16, no. 10: 1740.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.