SNoW: Understanding the Causes of Strong, Neutral, and Weak Face Impostor Pairs

Published

September 27, 2013

Author(s)

P J. Phillips, Amanda Sgroi, Patrick J. Flynn, Kevin W. Bowyer

Abstract

The Strong, Neutral, or Weak Face Impostor Pairs problem was generated to explore the causes and impact of impostor face pairs that span varying strengths of nonmatch. We develop three partitions within the impostor distribution of a given algorithm. The Strong partition contains image pairs that are easy to categorize as nonmatches. The Neutral partition contains image pairs that are less easily categorized as nonmatches. The Weak partition contains image pairs that are likely to cause false matches. Three algorithms, and the fusion of their scores, were used to analyze the performance of these three partitions using the same set of match scores employed in the FRVT 2006 Challenge Dataset. The results of these experiments provide evidence that varying degrees of nonmatch scores impact the over- all performance and thus the impostor distribution deserves further exploration.

Conference Dates

September 30-October 2, 2013

Conference Location

Arlington, VA

Conference Title

The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013)

Pub Type

Conferences

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Citation

Phillips, P. , Sgroi, A. , Flynn, P. and Bowyer, K. (2013), SNoW: Understanding the Causes of Strong, Neutral, and Weak Face Impostor Pairs, The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013), Arlington, VA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=914259 (Accessed October 11, 2025)