Sciweavers

1276 search results - page 93 / 256
» Statistical Models of Appearance for Computer Vision
Sort
View
ICCV
2005
IEEE
16 years 5 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman
CVPR
2010
IEEE
15 years 8 months ago
Facial Point Detection using Boosted Regression and Graph Models
Finding fiducial facial points in any frame of a video showing rich naturalistic facial behaviour is an unsolved problem. Yet this is a crucial step for geometric-featurebased fa...
Michel Valstar, Brais Martinez, Xavier Binefa, Maj...
ECCV
2008
Springer
16 years 5 months ago
What Does the Sky Tell Us about the Camera?
As the main observed illuminant outdoors, the sky is a rich source of information about the scene. However, it is yet to be fully explored in computer vision because its appearance...
Jean-François Lalonde, Srinivasa G. Narasim...
CVPR
2003
IEEE
16 years 5 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
74
Voted
ICCV
2007
IEEE
16 years 5 months ago
A Nonlinear Discriminative Approach to AAM Fitting
The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter u...
Jason Saragih, Roland Göcke