New paradigms for active and passive 3D remote object sensing, visualization, and recognition

P. F. McManamon; B. Javidi; E. A. Watson; M. DaneshPanah; R. T. Schulein

doi:10.1117/12.778343

14 April 2008 New paradigms for active and passive 3D remote object sensing, visualization, and recognition

P. F. McManamon, B. Javidi, E. A. Watson, M. DaneshPanah, R. T. Schulein

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Proceedings Volume 6967, Automatic Target Recognition XVIII; 69670E (2008) https://doi.org/10.1117/12.778343
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Three dimensional imaging is a powerful tool for object detection, identification, and classification. 3D imaging allows removal of partial obscurations in front of the imaged object. Traditional 3D image sensing has been Laser Radar (LADAR) based. Active imaging has benefits; however, its disadvantages are costs, detector array complexity, power, weight, and size. In this keynote address paper, we present an overview of 3D sensing approaches based on passive sensing using commercially available detector technology. 3D passive sensing will provide many benefits, including advantages at shorter ranges. For small, inexpensive UAVs, it is likely that 3D passive imaging will be preferable to active 3D imaging.

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P. F. McManamon, B. Javidi, E. A. Watson, M. DaneshPanah, and R. T. Schulein "New paradigms for active and passive 3D remote object sensing, visualization, and recognition", Proc. SPIE 6967, Automatic Target Recognition XVIII, 69670E (14 April 2008); https://doi.org/10.1117/12.778343

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KEYWORDS

3D image processing

Sensors

3D image reconstruction

Nonlinear filtering

LIDAR

3D acquisition

Imaging systems

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