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» Face matching and retrieval using soft biometrics
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ICASSP
2010
IEEE
13 years 7 months ago
Stochastic pronunciation modelling and soft match for out-of-vocabulary spoken term detection
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms,...
Dong Wang, Simon King, Joe Frankel, Peter Bell
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
13 years 7 months ago
Non-linear fusion of local matching scores for face verification
This paper presents a face verification framework for fusing matching scores that measure similarities of local facial features. The framework is aimed to handle an openset verifi...
Ziheng Zhou, Samuel Chindaro, Farzin Deravi
CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
13 years 10 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
SMI
2008
IEEE
204views Image Analysis» more  SMI 2008»
14 years 1 months ago
SHREC'08 entry: 3D face recognition using facial contour curves
In this work we compute the similarity of 3D faces using a set of eight contour curves. These contours were selected and matched using our 3D face matching framework. In previous ...
Frank B. ter Haar, Remco C. Veltkamp
ICB
2009
Springer
355views Biometrics» more  ICB 2009»
14 years 2 months ago
3D Signatures for Fast 3D Face Recognition
We propose a vector representation (called a 3D signature) for 3D face shape in biometrics applications. Elements of the vector correspond to fixed surface points in a face-centere...
Chris Boehnen, Tanya Peters, Patrick J. Flynn