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WACV
2005
IEEE
14 years 1 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ICANN
1997
Springer
13 years 11 months ago
A Feature Map Approach to Pose Estimation Based on Quaternions
This paper proposes a novel solution to the problem of pose estimation of three-dimensional objects using feature maps. Our approach relies on quaternions as the mathematical repre...
S. Winkler, Patrick Wunsch, Gerd Hirzinger
ICPR
2004
IEEE
14 years 8 months 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
AVSS
2005
IEEE
14 years 1 months ago
Meaningful automatic video demultiplexing with unknown number of cameras, contrast changes, and motion
This paper presents a software-based parameter-free method for the demultiplexing of a video stream [7] that is missing camera labeling information. The method is based on the obs...
Jose Luis Lisani, Lenny Rudin, Pascal Monasse, Jea...
MVA
1996
109views Computer Vision» more  MVA 1996»
13 years 8 months ago
Model Based Tracking on 3D Objects
In this paper, a new tracking algorithm, based on local minimum energy, is proposed for matching between a projected model and corresponding image features in real-time. The algor...
Zheng Li, Han Wang