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MICAI
2000
Springer
13 years 11 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...
AUSAI
2005
Springer
14 years 1 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee
ICIAR
2010
Springer
14 years 8 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
PET
2009
Springer
14 years 2 months ago
Privacy-Preserving Face Recognition
Abstract. Face recognition is increasingly deployed as a means to unobtrusively verify the identity of people. The widespread use of biometrics raises important privacy concerns, i...
Zekeriya Erkin, Martin Franz, Jorge Guajardo, Stef...
AUTOID
2005
IEEE
14 years 1 months ago
Fully Automated Facial Symmetry Axis Detection in Frontal Color Images
In this paper, we consider the problem of automatically detecting a facial symmetry axis in what we will call a standard human face image (acquired when the subject is looking dir...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer