NDLI: Computing depth under ambient illumination using multi-shuttered light

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez-Banos, H. Davis, J.
Copyright Year	2004
Description	Author affiliation: Honda Res. Inst., Mountain View, CA, USA (Gonzalez-Banos, H.; Davis, J.)
Abstract	Range imaging has become a critical component of many computer vision applications. The quality of the depth data is of critical importance, but so is the need for speed. Shuttered light-pulse (SLP) imaging uses active illumination hardware to provide high quality depth maps at video frame rates. Unfortunately, current analytical models for deriving depth from SLP imagers are specific to the number of shutters and have a number of deficiencies. As a result, depth estimation often suffers from bias due to object reflectivity, incorrect shutter settings, or strong ambient illumination such as that encountered outdoors. These limitations make SLP imaging unsuitable for many applications requiring stable depth readings. This paper introduces a method that is general to any number of shutters. Using three shutters, the new method produces invariant estimates under changes in ambient illumination, producing high quality depth maps in a wider range of situations.
Sponsorship	IEEE Comput. Soc
File Size	848853
File Format	PDF
ISBN	0769521584
ISSN	10636919
DOI	10.1109/CVPR.2004.1315169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Reflectivity Computer vision Hardware Application software Analytical models High-resolution imaging Pulse measurements Surveillance Face recognition
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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