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» Boosting Object Detection Using Feature Selection
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95
Voted
CVPR
2010
IEEE
15 years 10 months ago
Fast and Robust Object Segmentation with the Integral Linear Classifier
We propose an efficient method, built on the popular Bag of Features approach, that obtains robust multiclass pixellevel object segmentation of an image in less than 500ms, with...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
126
Voted
IVC
2007
187views more  IVC 2007»
15 years 2 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
136
Voted
CVPR
2003
IEEE
16 years 4 months ago
Multi-scale Phase-based Local Features
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
Gustavo Carneiro, Allan D. Jepson
BMVC
1997
15 years 4 months ago
Robust Recursive Structure and Motion Recovery under Affine Projection
In this paper we present an algorithm for structure and motion (SM) recovery under affine projection from video sequences. The algorithm tracks the motion of a single structure, b...
Miroslav Trajkovic, Mark Hedley
143
Voted
DAS
2010
Springer
15 years 1 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...