Efficient aggregation via iterative block-based adapting support-weights


Conference Paper

Local stereo matching algorithms based on adapting-weights aggregation produce excellent results compared to other local methods. In particular, they produce more accurate results near disparity edges. This improvement is obtained thanks to the fact that the support for each pixel is accurately determined based on information such as colour or spatial distance. However, the computation of the support for each pixel results in computationally complex algorithms, especially when using large aggregation windows. Iterative aggregation schemes are a potential alternative to using large windows. In this paper we propose a novel iterative approach for adapting-weights aggregation which produces better results and out-performs most previous adapting-weights methods. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • De-Maeztu, L; Mattoccia, S; Villanueva, A; Cabeza, R

Published Date

  • December 1, 2011

Published In

  • 2011 International Conference on 3d Imaging, Ic3d 2011

International Standard Book Number 13 (ISBN-13)

  • 9781479915774

Digital Object Identifier (DOI)

  • 10.1109/IC3D.2011.6584379

Citation Source

  • Scopus