Stereo Matching for Face Images Based onFeature Points
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Graphical Abstract
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Abstract
Stereo matching is the key of reconstruct-
ing 3D face model from 2D face images and Barnard's al-
gorithm is one of the classical stereo matching algorithms
based on feature points. In order to enhance the stability
of extracting feature points, reduce computational com-
plexity and minimize the e®ect of subjective factors, in this
paper, Barnard's algorithm of edge point matching was im-
proved from two aspects: edge point sets of left and right
face images were extracted with dyadic wavelet transform,
rather than comparing gray values of adjacent pixels; on
the other hand, edge points in binocular stereo face images
were matched under epipolar constraint in parallel binoc-
ular stereo matching. Experimental results demonstrate
that stability and e±ciency of stereo matching algorithm
are both improved.
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