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ECCV
2004
Springer
16 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
DAGM
2008
Springer
15 years 8 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
CVPR
2010
IEEE
16 years 2 months ago
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories
We present a feature matching algorithm that leverages bottom-up segmentation. Unlike conventional image-toimage or region-to-region matching algorithms, our method finds corresp...
Jaechul Kim, Kristen Grauman
CVPR
2004
IEEE
16 years 8 months ago
Recovering Human Body Configurations: Combining Segmentation and Recognition
The goal of this work is to take an image such as the one in Figure 1(a), detect a human figure, and localize his joints and limbs (b) along with their associated pixel masks (c)....
Greg Mori, Xiaofeng Ren, Alexei A. Efros, Jitendra...
IBPRIA
2007
Springer
16 years 18 days ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...