13 September 2012 Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations
Hyunjung Shim, Seungkyu Lee
Author Affiliations +
Abstract
Time-of-flight (ToF) and structured light depth cameras capture dense three-dimensional (3-D) geometry that is of great benefit for many computer vision problems. For the past couple of years, depth image based gesture recognition, 3-D reconstruction, and robot localization have received explosive interest in the literature. However, depth measurements present unique systematic errors, specifically when objects have specularity or translucency. We present a quantitative evaluation and analysis of depth errors using both ToF and structured light depth cameras. The evaluation framework used includes a dataset of carefully taken depth images with radiometric/geometric variations of real world objects and their ground truth depth. Our analysis and experiments reveal the different characteristics of the two sensor types and indicate that obtaining high quality depth image from real-world scene still remains a challenging, unsolved problem.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
Hyunjung Shim and Seungkyu Lee "Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variations," Optical Engineering 51(9), 094401 (13 September 2012). https://doi.org/10.1117/1.OE.51.9.094401
Published: 13 September 2012
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Structured light

Translucency

Cameras

Infrared imaging

Infrared sensors

Error analysis

Back to Top