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» On the Dimensionality of Face Space
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BMVC
1998
14 years 11 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna
ICIP
2003
IEEE
15 years 11 months ago
Face description based on decomposition and combining of a facial space with LDA
We propose a method of efficient face description for facial image retrieval from a large data set. The novel descriptor is obtained by decomposing the face image into several com...
Tae-Kyun Kim, Hyunwoo Kim, Wonjun Hwang, Seok-Cheo...
ACCV
2009
Springer
15 years 4 months ago
Manifold Estimation in View-Based Feature Space for Face Synthesis across Poses
This paper presents a new approach to synthesize face images under different pose changes given a single input image. The approach
Xinyu Huang, Jizhou Gao, Sen-ching S. Cheung, Ruig...
ICB
2007
Springer
176views Biometrics» more  ICB 2007»
15 years 1 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
CAIP
2005
Springer
121views Image Analysis» more  CAIP 2005»
15 years 3 months ago
Feature Space Reduction for Face Recognition with Dual Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
Krzysztof Kucharski, Wladyslaw Skarbek, Miroslaw B...