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ICPR
2002
IEEE
14 years 5 months ago
Probabilistic Models for Generating, Modelling and Matching Image Categories
In this paper we present a probabilistic and continuous framework for supervised image category modelling and matching as well as unsupervised clustering of image space into image...
Hayit Greenspan, Shiri Gordon, Jacob Goldberger
CIVR
2007
Springer
180views Image Analysis» more  CIVR 2007»
13 years 10 months ago
Probabilistic matching and resemblance evaluation of shapes in trademark images
We present a novel matching and similarity evaluation method for planar geometric shapes represented by sets of polygonal curves. Given two shapes, the matching algorithm randomly...
Helmut Alt, Ludmila Scharf, Sven Scholz
CVPR
2006
IEEE
14 years 6 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ICCV
2009
IEEE
14 years 9 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
PAMI
2008
170views more  PAMI 2008»
13 years 4 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja