Face acquisition camera design using the NV-IPM image generation tool

Christopher L Howell; Hee-Sue Choi; Joseph P. Reynolds

doi:10.1117/12.2179619

12 May 2015 Face acquisition camera design using the NV-IPM image generation tool

Christopher L Howell, Hee-Sue Choi, Joseph P. Reynolds

Proceedings Volume 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI; 94520T (2015) https://doi.org/10.1117/12.2179619
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Christopher L Howell, Hee-Sue Choi, and Joseph P. Reynolds "Face acquisition camera design using the NV-IPM image generation tool", Proc. SPIE 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI, 94520T (12 May 2015); https://doi.org/10.1117/12.2179619

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