High-Speed Compressive Range Imaging Based On Active Illumination
Abstract
We report a compressive imaging method based on active illumination, which reconstructs a 3D scene at a frame rate beyond the acquisition speed limit of the camera. We have built an imaging prototype that projects temporally varying illumination pattern and demonstrated a joint reconstruction algorithm that iteratively retrieves both the range and high-temporal-frequency information from the 2D low-frame rate measurement. The reflectance and depth-map videos have been reconstructed at 1000 frames per second (fps) from the measurement captured at 200 fps. The range resolution is in agreement with the resolution calculated from the triangulation methods based on the same system geometry. We expect such an imaging method could become a simple solution to a wide range of applications, including industrial metrology, 3D printing, and vehicle navigations.
Publication Date
10-3-2016
Publication Title
Optics Express
Volume
24
Issue
20
Number of Pages
22836-22846
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/OE.24.022836
Copyright Status
Unknown
Socpus ID
84989814517 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84989814517
STARS Citation
Sun, Yangyang; Yuan, Xin; and Pang, Shuo, "High-Speed Compressive Range Imaging Based On Active Illumination" (2016). Scopus Export 2015-2019. 2920.
https://stars.library.ucf.edu/scopus2015/2920