A 3D approach for object recognition in illuminated scenes with adaptive correlation filters

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper we solve the problem of pose recognition of a 3D object in non-uniformly illuminated and noisy scenes. The recognition system employs a bank of space-variant correlation filters constructed with an adaptive approach based on local statistical parameters of the input scene. The position and orientation of the target are estimated with the help of the filter bank. For an observed input frame, the algorithm computes the correlation process between the observed image and the bank of filters using a combination of data and task parallelism by taking advantage of a graphics processing unit (GPU) architecture. The pose of the target is estimated by finding the template that better matches the current view of target within the scene. The performance of the proposed system is evaluated in terms of recognition accuracy, location and orientation errors, and computational performance.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing IX
EditorsMohammad A. Matin, Abdul A. S. Awwal, Andres Marquez, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Abdul A. S. Awwal, Mohammad A. Matin, Andres Marquez
PublisherSPIE
ISBN (Electronic)9781628417647, 9781628417647
DOIs
StatePublished - 2015
Event9th Conference of Optics and Photonics for Information Processing - San Diego, United States
Duration: 10 Aug 201512 Aug 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9598
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th Conference of Optics and Photonics for Information Processing
Country/TerritoryUnited States
CitySan Diego
Period10/08/1512/08/15

Keywords

  • 3D object recognition
  • correlation filter
  • graphics processing units (GPU)
  • illumination

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