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» Image Based Regression Using Boosting Method
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146
Voted
BMVC
1998
15 years 5 months ago
Active Object Recognition in Parametric Eigenspace
We present an efficient method within an active vision framework for recognizing objects which are ambiguous from certain viewpoints. The system is allowed to reposition the camer...
Hermann Borotschnig, Lucas Paletta, Manfred Prantl...
93
Voted
ICPR
2002
IEEE
15 years 8 months ago
Motion Tracking of Cattle with a Constrained Deformable Model
In this paper, we propose a method for monitoring the motion of cows by tracking the white patterns on them with constrained deformable models. As input for observation, we use im...
Daisuke Tsutsumi, Yasuyo Kita
133
Voted
ECCV
2006
Springer
16 years 5 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
125
Voted
ECCV
2000
Springer
16 years 5 months ago
A Six Point Solution for Structure and Motion
The paper has two main contributions: The rst is a set of methods for computing structure and motion for m 3 views of 6 points. It is shown that a geometric image error can be mini...
Frederik Schaffalitzky, Andrew Zisserman, Richard ...
CVPR
2006
IEEE
16 years 5 months ago
Perception Strategies in Hierarchical Vision Systems
Flat appearance-based systems, which combine clever image representations with standard classifiers, might be the most effective way to recognize objects using current technologie...
Lior Wolf, Stanley M. Bileschi, Ethan Meyers