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» Learning Hierarchical Models of Scenes, Objects, and Parts
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CVPR
2009
IEEE
16 years 4 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
2010
IEEE
15 years 5 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
CVPR
2007
IEEE
15 years 11 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
ECCV
2006
Springer
15 years 11 months ago
Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
David J. Crandall, Daniel P. Huttenlocher
61
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CGF
1999
70views more  CGF 1999»
14 years 9 months ago
Modelling and Rendering Graphics Scenes Composed of Multiple Volumetric Datasets
This paper presents a method for modelling graphics scenes consisting of multiple volumetric objects. A twolevel hierarchical representation is employed, which enables the reducti...
Adrian Leu, Min Chen