Computable elastic distances between shapes
SIAM Journal on Applied Mathematics
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Experiments on ICP-Based 3D Face Recognition and Authentication
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biometric Recognition Using 3D Ear Shape
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Intrinsic Framework for Analysis of Facial Surfaces
International Journal of Computer Vision
A 3D face matching framework for facial curves
Graphical Models
Geodesics between 3d closed curves using path-straightening
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A Region Ensemble for 3-D Face Recognition
IEEE Transactions on Information Forensics and Security
3-D Face Recognition With the Geodesic Polar Representation
IEEE Transactions on Information Forensics and Security - Part 2
Expression-Invariant Representations of Faces
IEEE Transactions on Image Processing
An efficient 3D face recognition approach using local geometrical signatures
Pattern Recognition
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The main contribution of this paper is the use of an AdaBoost-based learning algorithm which builds a strong classifier from a set of weak classifiers associated with level curves in the nasal region of 3D faces. Its main application is person authentication. The basic idea is to represent nasal surfaces using indexed collections of level curves, and to compare shapes of noses by comparing the shape of their corresponding curves. AdaBoost considers each curve as a weak classifier and iteratively selects relevant curves to increase the authentication accuracy. We demonstrate these ideas on a subset taken from FRGC v2 (Face Recognition Grand Challenge) database. The proposed approach increases authentication performances relative to a simple fusion of scores from all curves.