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

Bahram Javidi; Mehdi DaneshPanah

doi:10.1117/12.822708

4 May 2009 3D multi-view passive sensing and visualization using randomly distributed sensors

Bahram Javidi, Mehdi DaneshPanah

Author Affiliations +

Proceedings Volume 7335, Automatic Target Recognition XIX; 73350A (2009) https://doi.org/10.1117/12.822708
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

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Bahram Javidi and Mehdi DaneshPanah "3D multi-view passive sensing and visualization using randomly distributed sensors", Proc. SPIE 7335, Automatic Target Recognition XIX, 73350A (4 May 2009); https://doi.org/10.1117/12.822708

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KEYWORDS

Sensors

3D image processing

Imaging systems

3D acquisition

Automatic target recognition

3D displays

Stereoscopy

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