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

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing IX
EditoresMohammad 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
EditorialSPIE
ISBN (versión digital)9781628417647, 9781628417647
DOI
EstadoPublicada - 2015
Evento9th Conference of Optics and Photonics for Information Processing - San Diego, Estados Unidos
Duración: 10 ago. 201512 ago. 2015

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen9598
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia9th Conference of Optics and Photonics for Information Processing
País/TerritorioEstados Unidos
CiudadSan Diego
Período10/08/1512/08/15

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