Abstract
An improved least squares stereo matching (LSSM) approach is presented for the accurate recovery of 3-D facial shape. The efficiency of this iterative search technique depends crucially on the provision of good initial disparity estimates between search and target windows. Here, we obtain these using an Active Shape Model (ASM) search to first localise important image features, such as the eyes, nose, mouth and facial border. Disparity values are then estimated from the fitted model points and fed into the matching algorithm. This enhances the correspondence search in facial regions of interest resulting in dense depth maps and better reconstruction accuracy. The technique has been validated by metric reconstruction of 3-D facial models for a human subject.
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References
Moss, J.P., McCance, A.M., Fright, W., Linney, A.D. and James, D.R. “A three-dimensional soft tissue analysis of fifteen patients with class II, division 1 malocclusions after bimaxillary surgery”, American Journal of Orthodontics and Dentofacial Orthopedics, 1994, 105, 430–437.
McCance, A.M., Moss, J.P., Fright, W.R., Linney, A.D. and James, D.R. “Three-dimensional analysis techniques. II Laser scanning: A quantitative 3-D soft-tissue analysis using a colour-coding system,” Cleft Palate-Craniofacial Journal 1997, 34(1), 46–51.
Cootes, T.F., Hill A., Tayler C.J. and Haslam J. “The Use of Active Shape Models For Locating Structures in Medical Images”, Image and Vision Computing, 1994, 12(6), 355–366.
Pertl, A. “Digital image correlation with an analytical plotter”, Photogrammetria, 1985, 40(1), 9–19.
O’Neill, M. and Denos, M. “Automated system for course-to-fine pyramidal area correlation stereo matching”, Image and Vision Computing, 1996, 14, 225–236.
Rohlf, F.R. and Slice, D. “Extensions of the Procrustes method for the optimal superimposition of landmarks”, Systematic Zoology, 1990, 39(1), 40–59.
Cootes, T.F., Taylor, C.J., Cooper, D.H. and Graham, J. “Training models of shape from sets of examples”, In: Proc. British Machine Vision Conference. Springer-Verlag, pp.9–18, 1992.
Mao, Z. and Naftel, A. “Improved area-based stereo matching using an image segmentation approach for 3-D facial imaging”, 6th International Conference on Image Processing and its Applications, Dublin, Ireland, July 14–17, pp.478–482, 1997.
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© 1998 Springer-Verlag London Limited
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Ju, X., Naftel, A.J. (1998). Active Shape Model-Assisted Least Squares Stereo Matching for Recovery of 3-D Facial Shape. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_8
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DOI: https://doi.org/10.1007/978-1-4471-1597-7_8
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
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