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» Synergism in Low Level Vision
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ACIVS
2008
Springer
15 years 4 months ago
"Local Rank Differences" Image Feature Implemented on GPU
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
Lukás Polok, Adam Herout, Pavel Zemcí...
EMMCVPR
2001
Springer
15 years 2 months ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura
CVPR
2000
IEEE
15 years 2 months ago
Perceptual Grouping and Segmentation by Stochastic Clustering
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
Yoram Gdalyahu, Noam Shental, Daphna Weinshall
NIPS
2004
14 years 11 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
CVIU
2000
91views more  CVIU 2000»
14 years 9 months ago
Attentional Scene Segmentation: Integrating Depth and Motion
We present an approach to attention in active computer vision. The notion of attention plays an important role in biological vision. In recent years, and especially with the emergi...
Atsuto Maki, Peter Nordlund, Jan-Olof Eklundh