Compressive Temporal Rgb-D Imaging
Abstract
We report a compressive imaging system for high-speed color (RGB) video and range sensing based on the structured illumination. Random patterns are projected on the scene at a higher frame rate than that of the color camera. High-speed RGB-D scenes are reconstructed from a single 2D measurement via efficient algorithms.
Publication Date
1-1-2017
Publication Title
Optics InfoBase Conference Papers
Volume
Part F46-COSI 2017
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/COSI.2017.CTh1B.3
Copyright Status
Unknown
Socpus ID
85026314676 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85026314676
STARS Citation
Yuan, Xin; Sun, Yangyang; and Pang, Shuo, "Compressive Temporal Rgb-D Imaging" (2017). Scopus Export 2015-2019. 6801.
https://stars.library.ucf.edu/scopus2015/6801