Performance evaluation of scene registration and stereo matchingfor cartographic feature extraction
Hsieh, Y.C.
McKeown, D.M.
Perlant, F.P.
Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1992
Volume: 14,
Issue: 2
On page(s): 214-238
ISSN: 0162-8828
References Cited: 37
CODEN: ITPIDJ
INSPEC Accession Number: 4139386
Digital Object Identifier: 10.1109/34.121790
Current Version Published: 2002-08-06
Abstract
Three major areas in the development of competent 3-D scene
interpretation system are discussed. First, the importance of accurate
automatic scene registration and the difficulty in automated extraction
and matching of scene reference points are described. Second, the
authors describe two stereo matching algorithms, S1, which is an
area-based matcher previously used in the SPAM system, and S2, which is
a feature-based matching algorithm based on hierarchical waveform
matching. Third, the authors introduce several performance evaluation
metrics that made it possible to measure the quality of the overall
scene recovery, the building disparity estimate, and the quality and
sharpness of the building delineations. Such manually generated scene
reference models are critical for understanding strengths and weaknesses
of various matching algorithms and in the incremental development of
improvements to existing algorithms. Experiments were performed on
difficult examples of aerial imagery
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