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ICCV
2007
IEEE
14 years 6 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
TIP
2008
142views more  TIP 2008»
13 years 4 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
PR
2008
218views more  PR 2008»
13 years 4 months ago
Automatic feature localisation with constrained local models
We present an efficient and robust method of locating a set of feature points in an object of interest. From a training set we construct a joint model of the appearance of each fe...
David Cristinacce, Timothy F. Cootes
ICIP
2003
IEEE
14 years 6 months ago
Incorporating constraints into the design of locally identifiable calibration patterns
Camera calibration requires the identification of points in an image that correspond to known locations in the scene. These are typically determined through the use of a calibrati...
Anton van den Hengel, Rhys Hill, Michael J. Brooks
CVPR
2005
IEEE
14 years 6 months ago
Hierarchical Part-Based Visual Object Categorization
We propose a generative model that codes the geometry and appearance of generic visual object categories as a loose hierarchy of parts, with probabilistic spatial relations linkin...
Guillaume Bouchard, Bill Triggs