DocumentCode :
1878887
Title :
INSPEC2T: Inexpensive Spectrometer Color Camera Technology
Author :
Scheirer, W.J. ; Kirkbride, S.R. ; Boult, T.E.
Author_Institution :
VAST Lab., Univ. of Colorado at Colorado Springs, Colorado Springs, CO
fYear :
2008
fDate :
7-9 Jan. 2008
Firstpage :
1
Lastpage :
8
Abstract :
Modern spectrometer equipment tends to be expensive, thus increasing the cost of emerging systems that take advantage of spectral properties as part of their operation. This paper introduces a novel technique that exploits the spectral response characteristics of a traditional sensor (i.e. CMOS or CCD) to utilize it as a low-cost spectrometer. Using the raw Bayer pattern data from a sensor, we estimate the brightness and wavelength of the measured light at a particular point. We use this information to support wide dynamic range, high noise tolerance, and, if sampling takes place on a slope, sub-pixel resolution. Experimental results are provided for both simulation and real data. Further, we investigate the potential of this low-cost technology for spoof detection in biometric systems. Lastly, an actual hardware systhesis is conducted to show the ease with which this algorithm can be implemented onto an FPGA.
Keywords :
field programmable gate arrays; image resolution; image sampling; image sensors; spectrometers; FPGA; biometric system; brightness estimation; hardware systhesis; high noise tolerance; raw Bayer pattern; spectral response characteristics; spectrometer color camera technology; spoof detection; subpixel resolution; Biometrics; Brightness; Charge coupled devices; Costs; Dynamic range; Particle measurements; Sampling methods; Sensor phenomena and characterization; Spectroscopy; Wavelength measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2008. WACV 2008. IEEE Workshop on
Conference_Location :
Copper Mountain, CO
ISSN :
1550-5790
Print_ISBN :
978-1-4244-1913-5
Electronic_ISBN :
1550-5790
Type :
conf
DOI :
10.1109/WACV.2008.4543999
Filename :
4543999
Link To Document :
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