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Proceedings Paper

Concealed object segmentation and three-dimensional localization with passive millimeter-wave imaging
Author(s): Seokwon Yeom
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Paper Abstract

Millimeter waves imaging draws increasing attention in security applications for weapon detection under clothing. In this paper, concealed object segmentation and three-dimensional localization schemes are reviewed. A concealed object is segmented by the k-means algorithm. A feature-based stereo-matching method estimates the longitudinal distance of the concealed object. The distance is estimated by the discrepancy between the corresponding centers of the segmented objects. Experimental results are provided with the analysis of the depth resolution.

Paper Details

Date Published: 17 May 2013
PDF: 6 pages
Proc. SPIE 8738, Three-Dimensional Imaging, Visualization, and Display 2013, 87380S (17 May 2013); doi: 10.1117/12.2017998
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8738:
Three-Dimensional Imaging, Visualization, and Display 2013
Bahram Javidi; Jung-Young Son, Editor(s)

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