Experiments with edge-based stereo matching

Document Type

Article

Publication Date

1-1-1989

Abstract

Edge matching is the most critical step in feature-based stereo vision. Edges, as obtained by various operators on the image, are discontinuities in the light intensity function. In general, they correspond to physical boundaries in the object space. Here we are concerned with two methods of matching edges in digital stereopairs. In one method the edges are segmented and approximated by polygons. Corresponding edges are found by comparing vertices, leg orientation, and approximate location within the image. The second method described is based on the ψ - s representation (to be defined later) of the edge. Thus, the search space for matching is reduced by one dimension. -Authors

Identifier

0024856988 (Scopus)

Publication Title

Photogrammetric Engineering Remote Sensing

First Page

1771

Last Page

1777

Issue

12

Volume

55

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