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Proceedings Paper

3D multi-view passive sensing and visualization using randomly distributed sensors
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Paper Abstract

Three dimensional (3D) passive imaging systems are proven to be effective in a number of applications including Automatic Target Recognition (ATR). Such systems are traditionally designed around a regular, fixed grid of pickup locations such as lenslet arrays - a constraint that can not always be met for certain applications. With the recent advancements in this area, many applications call for more generic form of 3D imaging. Here, we overview out work in the area of multi-perspective imaging based on randomly distributed passive sensing. In particular, we propose a passive 3D imaging and visualization system with multiple view acquisitions from randomly distributed sensors. This method can further extend the applications of passive 3D imaging systems to areas such as 3D aerial imaging, collaborative imaging and etc. We discuss some of implications for improving performance of ATR algorithms.

Paper Details

Date Published: 4 May 2009
PDF: 8 pages
Proc. SPIE 7335, Automatic Target Recognition XIX, 73350A (4 May 2009); doi: 10.1117/12.822708
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Mehdi DaneshPanah, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 7335:
Automatic Target Recognition XIX
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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