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AVSS
2009
IEEE
14 years 7 months ago
Landmark Localisation in 3D Face Data
A comparison of several approaches that use graph matching and cascade filtering for landmark localisation in 3D face data is presented. For the first method, we apply the structur...
Marcelo Romero, Nick Pears
TIP
2008
287views more  TIP 2008»
14 years 9 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
AVSS
2006
IEEE
15 years 3 months ago
Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
Chris McCool, Jamie Cook, Vinod Chandran, Sridha S...
FGR
2006
IEEE
171views Biometrics» more  FGR 2006»
15 years 3 months ago
Automatic Feature Extraction for Multiview 3D Face Recognition
Current 2D face recognition systems encounter difficulties in recognizing faces with large pose variations. Utilizing the pose-invariant features of 3D face data has the potentia...
Xiaoguang Lu, Anil K. Jain
92
Voted
CVPR
2007
IEEE
15 years 11 months ago
3D Face Recognition Founded on the Structural Diversity of Human Faces
We present a systematic procedure for selecting facial fiducial points associated with diverse structural characteristics of a human face. We identify such characteristics from th...
Shalini Gupta, J. K. Aggarwal, Mia K. Markey, Alan...