3D model based face recognition by face representation using PVM and pose approximation

Authors:
Yang-Bok Lee;Taehwa Hong;Hyeon-Joon Moon;Yong-Guk Kim
Affiliations:
School of Computer Engineering, Sejong University, Seoul, Korea;Samsung Electronics, Suwon, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Year:
2007

Citing 9
Cited 0

A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Linear Object Classes and Image Synthesis From a Single Example Image

IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Separability of Pose and Expression in Facial Tracking and Animation

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Face Recognition Based on Fitting a 3D Morphable Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient, Robust and Accurate Fitting of a 3D Morphable Model

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Matching 2.5D Face Scans to 3D Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Evaluation of 3d face recognition using registration and PCA

AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication

Quantified Score

Hi-index	0.00

Visualization

Abstract

Since a generative 3D face model consists of a large number of vertex points and polygons, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we present a novel 3D face representation method to reduce the number of vertices and optimize its computation time and generate the 3D Korean face model based on the representation method. Also, a pose approximation method is described for initial fitting parameter. Finally, we evaluate the performance of proposed method with the face databases collected using a stereo-camera based 3D face capturing device and a web camera.