Memorias de investigación
Ponencias en congresos:
A parallel implementation of 3D Zernike moment analysis
Año:2011
Áreas de investigación
  • Cálculo científico,
  • Reconocimiento de formas,
  • Procesamiento de imágenes
Datos
Descripción
Zernike polynomials are a well known set of functions that find many applications in image or pattern characterization because they allow to construct shape descriptors that are invariant against translations, rotations or scale changes. The concepts behind them can be extended to higher dimension spaces, making them also fit to describe volumetric data. They have been less used than their properties might suggest due to their high computational cost. We present a parallel implementation of 3D Zernike moments analysis, written in C with CUDA extensions, which makes it practical to employ Zernike descriptors in interactive applications, yielding a performance of several frames per second in voxel datasets about 2003 in size. In our contribution, we describe the challenges of implementing 3D Zernike analysis in a general-purpose GPU. These include how to deal with numerical inaccuracies, due to the high precision demands of the algorithm, or how to deal with the high volume of input data so that it does not become a bottleneck for the system.
Internacional
Si
Nombre congreso
IS&T/SPIE Int. Conference on Parallel Processing for Imaging Applications
Tipo de participación
960
Lugar del congreso
Burlingame (CA), USA
Revisores
Si
ISBN o ISSN
0277-786X
DOI
10.1117/12.876683
Fecha inicio congreso
24/01/2011
Fecha fin congreso
25/01/2011
Desde la página
787209
Hasta la página
787209
Título de las actas
Proceedings of SPIE, vol. 7872
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones