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» POP: Patchwork of Parts Models for Object Recognition
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ECCV
2002
Springer
15 years 11 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger
DAGM
2006
Springer
15 years 1 months ago
Sparse Patch-Histograms for Object Classification in Cluttered Images
Abstract. We present a novel model for object recognition and detection that follows the widely adopted assumption that objects in images can be represented as a set of loosely cou...
Thomas Deselaers, Andre Hegerath, Daniel Keysers, ...
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
15 years 3 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
CP
1998
Springer
15 years 2 months ago
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features
In this paper we will show how constraint solving methods can be applied for the recognition of buildings in aerial images. Object models are transformed to constraint representati...
Thomas H. Kolbe
NIPS
2004
14 years 11 months ago
Conditional Random Fields for Object Recognition
We present a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modeled as flexible constellations of parts co...
Ariadna Quattoni, Michael Collins, Trevor Darrell