Sciweavers

CVPR
2008
IEEE
14 years 18 days ago
Hallucinating 3D facial shapes
This paper focuses on hallucinating a facial shape from a low-resolution 3D facial shape. Firstly, we give a constrained conformal embedding of 3D shape in R2 , which establishes ...
Gang Pan, Song Han, Zhaohui Wu
CIRA
2007
IEEE
188views Robotics» more  CIRA 2007»
14 years 4 months ago
Facial Identity and Expression Recognition by using Active Appearance Model with Efficient Second Order Minimization and Neural
This paper proposes a technique for real-time recognition of facial Identity and expression which uses the active appearance model (AAM) with efficient second order minimization al...
Hyun-Chul Choi, Se-Young Oh
AVBPA
2003
Springer
134views Biometrics» more  AVBPA 2003»
14 years 5 months ago
Robust Face-Tracking Using Skin Color and Facial Shape
This paper proposes a robust face tracking algorithm based on the CONDENSATION algorithm that uses skin color and facial shape as observation measures. Two independent trackers are...
Hyung-Soo Lee, Daijin Kim, Sang-Youn Lee
FGR
2008
IEEE
304views Biometrics» more  FGR 2008»
14 years 7 months ago
Recovering 3D facial shape via coupled 2D/3D space learning
This paper presents a method for recovering 3D facial shape from single image via learning the relationship between the 2D intensity images and the 3D facial shapes. With a couple...
Annan Li, Shiguang Shan, Xilin Chen, Xiujuan Chai,...
ISVC
2009
Springer
14 years 7 months ago
Reconstruction of Facial Shape from Freehand Multi-viewpoint Snapshots
We propose a method that can reconstruct both a 3D facial shape and camera poses from freehand multi-viewpoint snapshots. This method is based on Active Shape Model (ASM) using a f...
Seiji Suzuki, Hideo Saito, Masaaki Mochimaru
ICIP
2008
IEEE
15 years 2 months ago
Analysis of human attractiveness using manifold kernel regression
This paper uses a recently introduced manifold kernel regression technique to explore the relationship between facial shape and attractiveness on a heterogeneous dataset of over t...
Bradley C. Davis, Svetlana Lazebnik