Face recognition for uncontrolled environments

Christine Podilchuk; William Hulbert; Ralph Flachsbart; Lev Barinov

doi:10.1117/12.851986

14 April 2010 Face recognition for uncontrolled environments

Christine Podilchuk, William Hulbert, Ralph Flachsbart, Lev Barinov

Proceedings Volume 7667, Biometric Technology for Human Identification VII; 766705 (2010) https://doi.org/10.1117/12.851986
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

A new face recognition algorithm has been proposed which is robust to variations in pose, expression, illumination and occlusions such as sunglasses. The algorithm is motivated by the Edit Distance used to determine the similarity between strings of one dimensional data such as DNA and text. The key to this approach is how to extend the concept of an Edit Distance on one-dimensional data to two-dimensional image data. The algorithm is based on mapping one image into another and using the characteristics of the mapping to determine a two-dimensional Pictorial-Edit Distance or P-Edit Distance. We show how the properties of the mapping are similar to insertion, deletion and substitution errors defined in an Edit Distance. This algorithm is particularly well suited for face recognition in uncontrolled environments such as stand-off and other surveillance applications. We will describe an entire system designed for face recognition at a distance including face detection, pose estimation, multi-sample fusion of video frames and identification. Here we describe how the algorithm is used for face recognition at a distance, present some initial results and describe future research directions.(

Citation Download Citation

Christine Podilchuk, William Hulbert, Ralph Flachsbart, and Lev Barinov "Face recognition for uncontrolled environments", Proc. SPIE 7667, Biometric Technology for Human Identification VII, 766705 (14 April 2010); https://doi.org/10.1117/12.851986

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