Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Real-time RGB-D data processing on GPU architecture
Year:2013
Research Areas
  • Processing and signal analysis
Information
Abstract
In this paper we present an efficient system for real-time RGB-D camera data processing on GPU architecture. Its goal is to improve the depth data accuracy while processing the RGB-D data stream in real time, thus being very attractive for depth-based interactive applications such as gesture recognition for human-computer interaction, 3D scene modeling, etc. The proposed system performs a pixel-wise fusion of depth and color data based on adaptive filtering and background modeling techniques, which guarantees an efficient parallelization on any GPU architecture. Results prove that the average throughput, of around 200 fps, is well below those generally required by RGB-D cameras for real-time operation, despite the significant improvement of depth data accuracy.
International
Si
Congress
IEEE Conference on Design and Architectures for Signal and Image Processing (DASIP)
960
Place
Cagliari, Italy
Reviewers
Si
ISBN/ISSN
979-10-92279-01-6
Start Date
08/10/2013
End Date
10/10/2013
From page
96
To page
103
Real-time RGB-D data processing on GPU architecture
Participants
  • Autor: Massimo Camplani (UPM)
  • Autor: Antonio Blasco de Blas (UPM)
  • Autor: Daniel Berjón Díez (UPM)
  • Autor: Luis Salgado Alvarez de Sotomayor (UPM)
  • Autor: Francisco Moran Burgos (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)