@inproceedings{6160e02837794e1ca28c8e31eb90ce71,
title = "FacePerf: Benchmarks for face recognition algorithms",
abstract = "In this paper we present a collection of C and C++ biometric performance benchmark algorithms called FacePerf. The benchmark includes three different face recognition algorithms that are historically important to the face recognition community: Haar-based face detection, Principal Components Analysis, and Elastic Bunch Graph Matching. The algorithms are fast enough to be useful in realtime systems; however, improving performance would allow the algorithms to process more images or search larger face databases. Bottlenecks for each phase in the algorithms have been identified. A cosine approximation was able to reduce the execution time of the Elastic Bunch Graph Matching implementation by 32%.",
author = "Bolme, {David S.} and Michelle Strout and Beveridge, {J. Ross}",
year = "2007",
doi = "10.1109/IISWC.2007.4362187",
language = "English (US)",
isbn = "1424415616",
series = "Proceedings of the 2007 IEEE International Symposium on Workload Characterization, IISWC",
pages = "114--119",
booktitle = "Proceedings of the 2007 IEEE International Symposium on Workload Characterization, IISWC",
note = "2007 IEEE International Symposium on Workload Characterization, IISWC ; Conference date: 27-09-2007 Through 29-09-2007",
}