Memorias de investigación
Communications at congresses:
Adaptive spatio-temporal filter for low-cost camera depth maps
Year:2012
Research Areas
  • Engineering,
  • Processing and signal analysis
Information
Abstract
In this paper we present an adaptive spatio-temporal filter that aims to improve low-cost depth camera accuracy and stability over time. The proposed system is composed by three blocks that are used to build a reliable depth map of static scenes. An adaptive joint-bilateral filter is used to obtain consistent depth maps by jointly considering depth and video information and by adapting its parameters to different levels of estimated noise. Kalman filters are used to reduce the temporal random fluctuations of the measurements. Finally an interpolation algorithm is used to obtain consistent depth maps in the regions where the depth information is not available. Results show that this approach allows to considerably improve the depth maps quality by considering spatio-temporal information and by adapting its parameters to different levels of noise.
International
Si
Congress
IEEE Int. Conf on Emerging Signal Processing Applications
960
Place
Las Vegas (NV), USA
Reviewers
Si
ISBN/ISSN
978-1-4673-0899-1
10.1109/ESPA.2012.6152439
Start Date
12/01/2012
End Date
14/01/2012
From page
33
To page
36
Proc. of IEEE Int. Conf on Emerging Signal Processing Applications, ESPA 2012
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)