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» Automatic Face Alignment by Maximizing Similarity Score
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PRIS
2007
13 years 6 months ago
Automatic Face Alignment by Maximizing Similarity Score
Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment...
Bas Boom, Luuk J. Spreeuwers, Raymond N. J. Veldhu...
ACCV
2009
Springer
13 years 11 months ago
Similarity Scores Based on Background Samples
Evaluating the similarity of images and their descriptors by employing discriminative learners has proven itself to be an effective face recognition paradigm. In this paper we sho...
Lior Wolf, Tal Hassner, Yaniv Taigman
PAMI
2007
92views more  PAMI 2007»
13 years 4 months ago
Modeling and Predicting Face Recognition System Performance Based on Analysis of Similarity Scores
—This paper presents methods of modeling and predicting face recognition (FR) system performance based on analysis of similarity scores. We define the performance of an FR system...
Peng Wang, Qiang Ji, James L. Wayman
BMCBI
2005
119views more  BMCBI 2005»
13 years 4 months ago
GASH: An improved algorithm for maximizing the number of equivalent residues between two protein structures
Background: We introduce GASH, a new, publicly accessible program for structural alignment and superposition. Alignments are scored by the Number of Equivalent Residues (NER), a q...
Daron M. Standley, Hiroyuki Toh, Haruki Nakamura
CVPR
2007
IEEE
14 years 6 months ago
Generic Face Alignment using Boosted Appearance Model
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...
Xiaoming Liu 0002