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Proceedings Paper

Face acquisition camera design using the NV-IPM image generation tool
Author(s): Christopher L Howell; Hee-Sue Choi; Joseph P. Reynolds
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Paper Abstract

In this paper, we demonstrate the utility of the Night Vision Integrated Performance Model (NV-IPM) image generation tool by using it to create a database of face images with controlled degradations. Available face recognition algorithms can then be used to directly evaluate camera designs using these degraded images. By controlling camera effects such as blur, noise, and sampling, we can analyze algorithm performance and establish a more complete performance standard for face acquisition cameras. The ability to accurately simulate imagery and directly test with algorithms not only improves the system design process but greatly reduces development cost.

Paper Details

Date Published: 12 May 2015
PDF: 10 pages
Proc. SPIE 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI, 94520T (12 May 2015); doi: 10.1117/12.2179619
Show Author Affiliations
Christopher L Howell, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Hee-Sue Choi, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Joseph P. Reynolds, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 9452:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI
Gerald C. Holst; Keith A. Krapels, Editor(s)

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