Improvements in real-time correlation-based stereo vision
Hirschmuller, H.
Centre for Computational Intelligence, De Montfort Univ., Leicester;
This paper appears in: Stereo and Multi-Baseline Vision, 2001. (SMBV 2001). Proceedings. IEEE Workshop on
Publication Date: 2001
On page(s): 141-148
Meeting Date: 12/09/2001 - 12/10/2001
Location: Kauai, HI, USA
ISBN: 0-7695-1327-1
References Cited: 12
INSPEC Accession Number: 7184511
Digital Object Identifier: 10.1109/SMBV.2001.988772
Current Version Published: 2002-08-07
Abstract
A stereo vision system that is required to support high-level
object based tasks in a tele-operated environment is described. Stereo
vision is computationally expensive, due to having to find corresponding
pixels. Correlation is a fast, standard way to solve the correspondence
problem. This paper analyses the behaviour of correlation based stereo
to find ways to improve its quality while maintaining its realtime
suitability. Three methods are suggested. Two of them aim to improve the
disparity image especially at depth discontinuities, while one targets
the identification of possible errors in general. Results are given on
real stereo images with ground truth. A comparison with five standard
correlation methods shows that improvements of simple stereo correlation
are possible in real-time on current computer hardware
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
