Concealed object segmentation and three-dimensional localization with passive millimeter-wave imaging

Seokwon Yeom

doi:10.1117/12.2017998

17 May 2013 Concealed object segmentation and three-dimensional localization with passive millimeter-wave imaging

Seokwon Yeom

Proceedings Volume 8738, Three-Dimensional Imaging, Visualization, and Display 2013; 87380S (2013) https://doi.org/10.1117/12.2017998
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Seokwon Yeom "Concealed object segmentation and three-dimensional localization with passive millimeter-wave imaging", Proc. SPIE 8738, Three-Dimensional Imaging, Visualization, and Display 2013, 87380S (17 May 2013); https://doi.org/10.1117/12.2017998

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