Journal ArticleDOI
The FERET evaluation methodology for face-recognition algorithms
TLDR
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.Abstract:
Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The Face Recognition Technology (FERET) program has addressed both issues through the FERET database of facial images and the establishment of the FERET tests. To date, 14,126 images from 1,199 individuals are included in the FERET database, which is divided into development and sequestered portions of the database. In September 1996, the FERET program administered the third in a series of FERET face-recognition tests. The primary objectives of the third test were to 1) assess the state of the art, 2) identify future areas of research, and 3) measure algorithm performance.read more
Citations
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Proceedings ArticleDOI
Unconstrained Face Alignment via Cascaded Compositional Learning
TL;DR: This work partitions the optimisation space into multiple domains of homogeneous descent, and predicts a shape as a composition of estimations from multiple domain-specific regressors to equip cascaded regressors with the capability to handle global shape variation and irregular appearance-shape relation in the unconstrained scenario.
A Survey of Biometric Gait Recognition: Approaches, Security and Challenges
TL;DR: This paper presents biometric user recognition based on gait, categorized into three groups based on: machine vision, floor sensor and wearable sensor, and factors that may influence gait recognition.
Journal ArticleDOI
Improving kernel Fisher discriminant analysis for face recognition
TL;DR: A new kernel function, called the cosine kernel, is proposed to increase the discriminating capability of the original polynomial kernel function and a geometry-based feature vector selection scheme is adopted to reduce the computational complexity of KFDA.
Journal ArticleDOI
Enhanced Patterns of Oriented Edge Magnitudes for Face Recognition and Image Matching
Ngoc-Son Vu,Alice Caplier +1 more
TL;DR: By proposing an additional technique that makes the feature descriptor robust to rotation, the efficiency of the algorithm is validated and it is proved that it is about 30 times faster than those based on Gabor filters.
Book ChapterDOI
Overview of the Multiple Biometrics Grand Challenge
P. Jonathon Phillips,Patrick J. Flynn,J. Ross Beveridge,W. Todd Scruggs,Alice J. O'Toole,David S. Bolme,Kevin W. Bowyer,Bruce A. Draper,Geof H. Givens,Yui Man Lui,Hassan Sahibzada,Joseph A. Scallan,Samuel Weimer +12 more
TL;DR: The goal of the Multiple Biometrics Grand Challenge (MBGC) is to improve the performance of face and iris recognition technology from biometric samples acquired under unconstrained conditions.
References
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