Sciweavers

338 search results - page 16 / 68
» Interpreting Face Images Using Active Appearance Models
Sort
View
ICPR
2004
IEEE
16 years 23 days ago
Online Appearance-Based Face and Facial Feature Tracking
We propose a simple framework that utilizes online appearance models for 3D face and facial feature tracking with a deformable model. Adapting the geometrical parameters for each ...
Fadi Dornaika, Franck Davoine
BMVC
2002
15 years 2 months ago
Comparing Variations on the Active Appearance Model Algorithm
The Active Appearance Model (AAM) algorithm has proved to be a successful method for matching statistical models of appearance to new images. Since the original algorithm was desc...
Timothy F. Cootes, Panachit Kittipanya-ngam
TMI
1998
122views more  TMI 1998»
14 years 11 months ago
Segmentation and Interpretation of MR Brain Images: An Improved Active Shape Model
Abstract— This paper reports a novel method for fully automated segmentation that is based on description of shape and its variation using point distribution models (PDM’s). An...
Nicolae Duta, Milan Sonka
CVPR
2008
IEEE
16 years 1 months ago
Increasing the density of Active Appearance Models
Active Appearance Models (AAMs) typically only use 50-100 mesh vertices because they are usually constructed from a set of training images with the vertices hand-labeled on them. ...
Krishnan Ramnath, Simon Baker, Iain Matthews, Deva...
FGR
2008
IEEE
176views Biometrics» more  FGR 2008»
15 years 6 months ago
Learning image alignment without local minima for face detection and tracking
Active Appearance Models (AAMs) have been extensively used for face alignment during the last 20 years. While AAMs have numerous advantages relative to alternate approaches, they ...
Minh Hoai Nguyen, Fernando De la Torre