Paper
12 May 2015 Face acquisition camera design using the NV-IPM image generation tool
Author Affiliations +
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Detection and tracking algorithms

Facial recognition systems

Imaging systems

Systems modeling

Computer simulations

Image processing

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