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» Components for Face Recognition
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MICAI
2000
Springer
15 years 3 months ago
Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition
The Principal Components Analysis (PCA) is one of the most successfull techniques that have been used to recognize faces in images. This technique consists of extracting the eigenv...
Teófilo Emídio de Campos, Rogé...
114
Voted
DSD
2010
IEEE
190views Hardware» more  DSD 2010»
14 years 12 months ago
Hardware-Based Speed Up of Face Recognition Towards Real-Time Performance
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
I. Sajid, Sotirios G. Ziavras, M. M. Ahmed
74
Voted
ICPR
2010
IEEE
14 years 9 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier
TIFS
2008
157views more  TIFS 2008»
14 years 11 months ago
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
We present a theory for constructing linear subspace approximations to face-recognition algorithms and empirically demonstrate that a surprisingly diverse set of face-recognition a...
Pranab Mohanty, Sudeep Sarkar, Rangachar Kasturi, ...
PAMI
2012
13 years 2 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...