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Proceedings Paper

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

Paper Details

Date Published: 9 September 2015
PDF: 9 pages
Proc. SPIE 9598, Optics and Photonics for Information Processing IX, 95981E (9 September 2015); doi: 10.1117/12.2187936
Show Author Affiliations
Kenia Picos, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Víctor H. Díaz-Ramírez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)


Published in SPIE Proceedings Vol. 9598:
Optics and Photonics for Information Processing IX
Abdul A. S. Awwal; Khan M. Iftekharuddin; Mohammad A. Matin; Mireya García Vázquez; Andrés Márquez, Editor(s)

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