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ICPR
2000
IEEE
14 years 4 days ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
CVPR
2006
IEEE
14 years 9 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
CVPR
2009
IEEE
15 years 2 months ago
HOP: Hierarchical Object Parsing
In this paper we consider the problem of object parsing, namely detecting an object and its components by composing them from image observations. Apart from object localization, ...
Iasonas Kokkinos, Alan L. Yuille
CVPR
2007
IEEE
14 years 9 months ago
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
Sanja Fidler, Ales Leonardis
TIP
2008
219views more  TIP 2008»
13 years 7 months ago
Binary Partition Trees for Object Detection
This paper discusses the use of Binary Partition Trees (BPTs) for object detection. BPTs are hierarchical region-based representations of images. They define a reduced set of regio...
Verónica Vilaplana, Ferran Marqués, ...