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CVPR
2000
IEEE
14 years 9 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
ECCV
2008
Springer
14 years 9 months ago
The Naked Truth: Estimating Body Shape Under Clothing
We propose a method to estimate the detailed 3D shape of a person from images of that person wearing clothing. The approach exploits a model of human body shapes that is learned fr...
Alexandru O. Balan, Michael J. Black
ECCV
2000
Springer
14 years 9 months ago
Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns
This paper presents a theoretically very simple yet efficient approach for gray scale and rotation invariant texture classification based on local binary patterns and nonparametric...
Timo Ojala, Matti Pietikäinen, Topi Mäen...
ICPR
2004
IEEE
14 years 8 months ago
Object Recognition Using Composed Receptive Field Histograms of Higher Dimensionality
Recent work has shown that effective methods for recognising objects or spatio-temporal events can be constructed based on receptive field responses summarised into histograms or ...
Oskar Linde, Tony Lindeberg
ICIP
2000
IEEE
14 years 8 months ago
Combined Dynamic Tracking and Recognition of Curves with Application to Road Detection
We present an algorithm that extracts the largest shape within a specificclass, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [jp...
Frederic Guichard, Jean-Philippe Tarel