DocumentCode :
1486792
Title :
Real-time focus range sensor
Author :
Nayar, Shree K. ; Watanabe, Masahiro ; Noguchi, Minori
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Volume :
18
Issue :
12
fYear :
1996
fDate :
12/1/1996 12:00:00 AM
Firstpage :
1186
Lastpage :
1198
Abstract :
Structures of dynamic scenes can only be recovered using a real-time range sensor. Depth from defocus offers an effective solution to fast and dense range estimation. However, accurate depth estimation requires theoretical and practical solutions to a variety of problems including recovery of textureless surfaces, precise blur estimation, and magnification variations caused by defocusing. Both textured and textureless surfaces are recovered using an illumination pattern that is projected via the same optical path used to acquire images. The illumination pattern is optimized to maximize accuracy and spatial resolution in computed depth. The relative blurring in two images is computed using a narrow-band linear operator that is designed by considering all the optical, sensing, and computational elements of the depth from defocus system. Defocus invariant magnification is achieved by the use of an additional aperture in the imaging optics. A prototype focus range sensor has been developed that has a workspace of 1 cubic foot and produces up to 512×480 depth estimates at 30 Hz with an average RMS error of 0.2%. Several experimental results are included to demonstrate the performance of the sensor
Keywords :
distance measurement; image reconstruction; image sensors; optical transfer function; accurate depth estimation; blur estimation; defocus invariant magnification; depth from defocus; dynamic scenes; illumination pattern; images acquisition; magnification variations; narrow-band linear operator; range estimation; real-time focus range sensor; spatial resolution; textured surfaces; textureless surfaces; Estimation theory; Focusing; Layout; Lighting; Narrowband; Optical computing; Optical design; Optical sensors; Spatial resolution; Surface texture;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.546256
Filename :
546256
Link To Document :
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