235 results on '"P. Jonathon Phillips"'
Search Results
52. Strong, Neutral, or Weak: Exploring the Impostor Score Distribution.
53. Salient views and view-dependent dictionaries for object recognition.
54. On the effectiveness of soft biometrics for increasing face verification rates.
55. An Automated Video-Based System for Iris Recognition.
56. Overview of the Multiple Biometrics Grand Challenge.
57. Focus on quality, predicting FRVT 2006 performance.
58. Humans versus algorithms: Comparisons from the Face Recognition Vendor Test 2006.
59. Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy.
60. Preliminary Face Recognition Grand Challenge Results.
61. Privacy Operating Characteristic for Privacy Protection in Surveillance Applications.
62. Overview of the Face Recognition Grand Challenge.
63. Face Recognition Based on Frontal Views Generated from Non-Frontal Images.
64. How Features of the Human Face Affect Recognition: A Statistical Comparison of Three Face Recognition Algorithms.
65. Models of Large Population Recognition Performance.
66. Double Trouble: Differentiating Identical Twins by Face Recognition.
67. Ambiguously Labeled Learning Using Dictionaries.
68. Comparison of human and computer performance across face recognition experiments.
69. The neural representation of faces and bodies in motion and at rest.
70. Assessment of Time Dependency in Face Recognition: An Initial Study.
71. Face Recognition Vendor Test 2002 Performance Metrics.
72. The NIST HumanID Evaluation Framework.
73. Meta-Analysis of Face Recognition Algorithms.
74. Baseline Results for the Challenge Problem of Human ID Using Gait Analysis.
75. Dependence Characteristics of Face Recognition Algorithms.
76. The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm.
77. Human identification technical challenges.
78. Introduction to face recognition and evaluation of algorithm performance.
79. Sensitivity analysis for biometric systems: A methodology based on orthogonal experiment designs.
80. In-Plane Rotation and Scale Invariant Clustering Using Dictionaries.
81. Comparing face recognition algorithms to humans on challenging tasks.
82. Dictionary-Based Face Recognition Under Variable Lighting and Pose.
83. The Good, the Bad, and the Ugly Face Challenge Problem.
84. Demographic effects on estimates of automatic face recognition performance.
85. Face Recognition Algorithms as Models of Human Face Processing.
86. An other-race effect for face recognition algorithms.
87. Face Recognition by Computers and Humans.
88. FRVT 2006: Quo Vadis face quality.
89. FRVT 2006 and ICE 2006 Large-Scale Experimental Results.
90. Meta-Analysis of Third-Party Evaluations of Iris Recognition.
91. Factors that influence algorithm performance in the Face Recognition Grand Challenge.
92. Support Vector Machines Applied to Face Recognition.
93. The FERET Verification Testing Protocol for Face Recognition Algorithms.
94. Gender and Ethnic Classification of Face Images.
95. A Verification Protocol and Statistical Performance Analysis for Face Recognition Algorithms.
96. Biometric image processing and recognition.
97. Subspace Approximation of Face Recognition Algorithms: An Empirical Study.
98. The FERET September 1996 Database and Evaluation Procedure.
99. The FERET Evaluation Methodology for Face-Recognition Algorithms.
100. Fusing Face-Verification Algorithms and Humans.
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