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  4. Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset
 
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2011
Conference Paper
Title

Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset

Abstract
Categorization of objects solely based on shape and appearance is still a largely unresolved issue. With the advent of new sensor technologies, such as consumer-level range sensors, new possibilities for shape processing have become available for a range of new application domains. In the first part of this paper, we introduce a novel, large dataset containing 18 categories of objects found in typical household and office environments - we envision this dataset to be useful in many applications ranging from robotics to computer vision. The second part of the paper presents computational experiments on object categorization with classifiers exploiting both two-dimensional and three-dimensional information. We evaluate categorization performance for both modalities in separate and combined representations and demonstrate the advantages of using range data for object and shape processing skills.
Author(s)
Browatzki, Björn
Max-Planck-Institut für Biologische Kybernetik
Fischer, Jan
Graf, Birgit  
Bülthoff, Heinrich H.
Max-Planck-Institut für Biologische Kybernetik
Wallraven, Christian
Korea University <Seoul>
Mainwork
IEEE International Conference on Computer Vision, ICCV Workshops 2011  
Conference
International Conference on Computer Vision (ICCV) 2011  
Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV) 2011  
Open Access
File(s)
Download (1.18 MB)
Rights
Use according to copyright law
DOI
10.1109/ICCVW.2011.6130385
10.24406/publica-r-373814
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • object classification

  • object database

  • service robot

  • Serviceroboter

  • shape detection

  • Haushaltsroboter

  • Objekterkennung

  • Roboter

  • Sensor

  • Datenbank

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