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» Discrete optimization in computer vision
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ICPR
2002
IEEE
16 years 3 months ago
Feature Selection for Pose Invariant Face Recognition
One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In th...
Berk Gökberk, Ethem Alpaydin, Lale Akarun
106
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ICPR
2002
IEEE
16 years 3 months ago
Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi
ICPR
2000
IEEE
16 years 3 months ago
Growing Gaussian Mixture Models for Pose Invariant Face Recognition
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
Ralph Gross, Jie Yang, Alex Waibel
CVPR
2010
IEEE
15 years 10 months ago
Surface Stereo with Soft Segmentation
This paper proposes a new stereo model which encodes the simple assumption that the scene is composed of a few, smooth surfaces. A key feature of our model is the surfacebased rep...
Michael Bleyer, Carsten Rother, Pushmeet Kohli
CVPR
2010
IEEE
15 years 10 months ago
What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
Daniel Kuettel, Michael Breitenstein, Luc Van Gool...