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Color code identification in coded structured light |
Applied Optics, Vol. 51, Issue 22, pp. 5340-5356 (2012)
http://dx.doi.org/10.1364/AO.51.005340
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Abstract
Color code is widely employed in coded structured light to reconstruct the three-dimensional shape of objects. Before determining the correspondence, a very important step is to identify the color code. Until now, the lack of an effective evaluation standard has hindered the progress in this unsupervised classification. In this paper, we propose a framework based on the benchmark to explore the new frontier. Two basic facets of the color code identification are discussed, including color feature selection and clustering algorithm design. First, we adopt analysis methods to evaluate the performance of different color features, and the order of these color features in the discriminating power is concluded after a large number of experiments. Second, in order to overcome the drawback of K-means, a decision-directed method is introduced to find the initial centroids. Quantitative comparisons affirm that our method is robust with high accuracy, and it can find or closely approach the global peak.
© 2012 Optical Society of America
OCIS Codes
(100.5010) Image processing : Pattern recognition
(330.1400) Vision, color, and visual optics : Vision - binocular and stereopsis
(280.4788) Remote sensing and sensors : Optical sensing and sensors
ToC Category:
Instrumentation, Measurement, and Metrology
History
Original Manuscript: March 12, 2012
Revised Manuscript: June 5, 2012
Manuscript Accepted: June 22, 2012
Published: July 23, 2012
Virtual Issues
Vol. 7, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Xu Zhang, Youfu Li, and Limin Zhu, "Color code identification in coded structured light," Appl. Opt. 51, 5340-5356 (2012)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-51-22-5340
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