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Long-range concealed object detection through active covert illumination

Williamson, David R.; Hales, Ian J.; Hansen, Mark F; Broadbent, Laurence; Smith, Melvyn

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Authors

David R. Williamson

Ian J. Hales

Mark Hansen Mark.Hansen@uwe.ac.uk
Professor of Machine Vision and Machine Learning

Laurence Broadbent

Profile image of Melvyn Smith

Melvyn Smith Melvyn.Smith@uwe.ac.uk
Research Centre Director Vision Lab/Prof



Contributors

D. A. Huckridge
Editor

R. Ebert
Editor

M. T. Gruneisen
Editor

M. Dusek
Editor

J. G. Rarity
Editor

Abstract

© 2015 SPIE. When capturing a scene for surveillance, the addition of rich 3D data can dramatically improve the accuracy of object detection or face recognition. Traditional 3D techniques, such as geometric stereo, only provide a coarse grained reconstruction of the scene and are ill-suited to fine analysis. Photometric stereo is a well established technique providing dense, high-resolution, reconstructions, using active artificial illumination of an object from multiple directions to gather surface information. It is typically used indoors, at short range (

Presentation Conference Type Conference Paper (published)
Conference Name SPIE Security + Defence 2015
Start Date Sep 21, 2015
End Date Sep 24, 2015
Publication Date Jan 1, 2015
Deposit Date Oct 2, 2015
Publicly Available Date Feb 9, 2016
Journal Proceedings of SPIE - The International Society for Optical Engineering
Print ISSN 0277-786X
Electronic ISSN 1996-756X
Publisher Society of Photo-optical Instrumentation Engineers
Peer Reviewed Peer Reviewed
Volume 9648
Series Title Proceedings of SPIE
Series Number 9648
DOI https://doi.org/10.1117/12.2190194
Keywords covert object detection, infrared imaging, black silicon, machine vision, surveillance, 3D technology, surface reconstruction, photometric stereo
Public URL https://uwe-repository.worktribe.com/output/803643
Publisher URL http://dx.doi.org/10.1117/12.2190194
Additional Information Title of Conference or Conference Proceedings : SPIE Security + Defence 2015
Contract Date Feb 9, 2016

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