Perception Subsystem for Object Recognition and Pose Estimation in RGB-D Images

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 440)

Abstract

RGB-D sensors have become key components of all kind of robotic systems. In this paper we present a perception subsystem for object recognition and pose estimation in RGB-D images. The system is able to recognize many objects at once, disregarding whether they belong to one or many classes. Next to the detailed description of the principle of the system operation we present several off-line and on-line experiments validating the system, including verification in the task of picking up recognized objects with IRp-6 manipulator.

Keywords

RGB-D image SIFT Object recognition Pose estimation Object picking 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.IBM Research, AlmadenSan JoseUSA
  2. 2.Institute of Control and Computation EngineeringWarsaw University of TechnologyWarsawPoland

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