Paper Info
Title
Intensity and Edge-Based Symmetry Detection Applied to Car-Following
Abstract
We present two methods for detecting symmetry in images, one based directly on the intensity values and another one based on a discrete representation of local orientation. A symmetry finder has been developed which uses the intensity-based method to search an image for compact regions which display some degree of mirror symmetry due to intensity similarities across a straight axis. In a different approach, we look at symmetry as a bilateral relationship between local orientations. A symmetryenhancing edge detector is presented which indicates edges dependent on the orientations at two different image positions. SEED, as we call it, is a detector element implemented by a feedforward network that holds the symmetry conditions. We use SEED to find the contours of symmetric objects of which we know the axis of symmetry from the intensity-based symmetry finder. The methods presented have been applied to the problem of visually guided car-following. Real-time experiments with a system for automatic headway control on motorways have been successful.
Year
DOI
Venue
1992
10.1007/3-540-55426-2_100
ECCV
Keywords
Field
DocType
edge-based symmetry detection applied,mirror symmetry,computer vision,real time
Car following,Headway,Computer vision,Computer science,Edge detector,Mirror symmetry,Eye tracking,Artificial intelligence,Discrete representation,Detector,Feed forward
Conference
Volume
ISSN
ISBN
588
0302-9743
3-540-55426-2
Citations 
PageRank 
References 
27
3.68
4
Authors
3
Name
Order
Citations
PageRank
Thomas Zielke11369.07
Michael Brauckmann21078.91
W von Seelen3503140.13