Acquisition Scenario Analysis for Face Recognition at a Distance

An experimental analysis of three acquisition scenarios for face recognition at a distance is reported, namely: close, medium, and far distance between camera and query face, the three of them considering templates enrolled in controlled conditions. These three representative scenarios are studied using data from the NIST Multiple Biometric Grand Challenge, as the rst step in order to understand the main variability factors that aect face recognition at a distance based on realistic yet workable and widely available data. The scenario analysis is conducted quantitatively in two ways. First, we analyze the information content in segmented faces in the dierent scenarios. Second, we analyze the performance across scenarios of three matchers, one commercial, and two other standard approaches using popular features (PCA and DCT) and matchers (SVM and GMM). The results show to what extent the acquisition setup impacts on the verication performance of face recognition at a distance. 1 Key...

• Type: Journal
• Year: 2010
• Where: ISVC
• Authors: Pedro Tome-Gonzalez, Julian Fiérrez-Aguilar, Michael C. Fairhurst, Javier Ortega-Garcia
• Keywords: Applied Computing, Biometric Grand Challenge, Face Recognition, ISVC 2010, Scenarios