Abstract
A feature-based stereo matching system that is based on an
algorithm for one-dimensional waveform matching is described. It is
intended for use in automated cartography, to generate an accurate
three-dimensional model of man-made structures and natural terrain. Each
epipolar line in the stereo pair is represented as a one-dimensional
intensity waveform. The waveform is described as a collection of
features, such as peaks and valleys, and represented across a set of
hierarchical levels, computed by approximation from the original
waveform. These features are matched using an evaluation function that
factors similarity of waveform shape, intensity, and symbolic feature
description. Waveform matches at coarse resolution are used to constrain
matches at finer levels. Intra/inter-scanline corrections are applied
and the actual position of the stereo match is adjusted by using the
gradient representation of the original waveform. Some representative
results are presented for a complex urban scene
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
