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» Face Recognition Using Sift Features
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ICIP
2009
IEEE
14 years 5 months ago
Face Recognition Using Sift Features
Face recognition has many important practical applications, like surveillance and access control. It is concerned with the problem of correctly identifying face images and assigni...
ICIAR
2010
Springer
13 years 9 months 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
CORR
2010
Springer
238views Education» more  CORR 2010»
13 years 4 months ago
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
Dakshina Ranjan Kisku, Ajita Rattani, Enrico Gross...
FGR
2011
IEEE
255views Biometrics» more  FGR 2011»
12 years 8 months ago
Beyond simple features: A large-scale feature search approach to unconstrained face recognition
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
David D. Cox, Nicolas Pinto
ICDAR
2009
IEEE
13 years 11 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao