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Improved area-based stereo matching using an image segmentation approach for 3-D facial imaging

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2 Author(s)
Mao, Z. ; Univ. of Central Lancashire, UK ; Naftel, A.J.

Orthodontists and cranio-facial surgeons are particularly interested in assessing in a qualitative and quantitative manner changes in facial morphology. We describe an improved intensity-based matching algorithm for convergent stereo camera axes which has been optimized for recovering a dense map of facial surface points. Various refinements have been incorporated into the matching strategy including image segmentation, scale adjustment for correction of perspective distortion, relaxation, bi-directional matching and texture projection. It has not been necessary to perform an initial rectification stage. Some preliminary results are presented on the accuracy of metric reconstruction using a calibration object and a qualitative study using a recovered 3-D facial model of a human subject. We then evaluate the potential for 3-D image registration as a first step towards the detection of facial shape change

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:2 )

Date of Conference:

14-17 Jul 1997

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