Abstract
We are interested in producing a 3D deformable model of the human hand, for use in a tracking application. Statistical methods can be used to build such a model from a set of training examples; however, a key requirement for this is the collection of landmark coordinate data from these training examples. To produce a good model, hundreds of landmarks are required from each example; collecting this data manually is infeasible. We present a method for capturing landmark data which makes use of standard physically-based models. The process is semi-automatic; key features are located by hand, and a physical model is deformed under the action of various forces to fit the image data. We demonstrate how the technique can be used to build a 3D Point Distribution Model from 3D MRI data, using a Simplex Mesh.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. Baumberg and D. Hogg. Learning flexible models from image sequences. In Proc. 3rd ECCV,pages 299–308, Stockholm, Sweden, 1993. Springer-Verlag.
A. Bulpitt and N. Efford. An efficient 3D deformable model with a self-optimising topology. In Proc. BMVC, Birmingham, UK, September 1995.
T. Cootes and C. Taylor. Combining point distribution models with shape models based on finite element analysis. In Proc. BMVC,pages 419–428, York, UK, 1994. BMVA Press.
T. Cootes, C. Taylor, D. Cooper, and J. Graham. Active Shape Models - their training and applications. Computer Vision and Image Understanding, 61 (2), January 1995.
H. Delingette. Simplex Meshes: a general representation for 3D shape reconstruction. Technical Report 2214, INRIA, 1994.
A. Heap. Real-time hand tracking and gesture recognition using Smart Snakes. In Proc. Interface to Human and Virtual Worlds,Montpellier, France, June 1995. Also available as ftp://agora.leeds.ac.uk/scs/doc/reports/1995/95S.ps.Z
A. Heap and D. Hogg. Automatic pivot location for the Cartesian-Polar Hybrid Point Distribution Model. In Proc. BMVC, Birmingham, UK, September 1995.
A. Hill and C. Taylor. Automatic landmark generation for point distribution models. In Proc. BMVC,pages 429–438, York, UK, 1994. BMVA Press.
A. Hill, A. Thornham, and C. Taylor. Model-based interpretation of 3D medical images. In Proc. BMVC,pages 339–348, Guildford, UK, 1993. BMVA Press.
W. E. Lorensen and H. E. Cline. Marching cubes: a high resolutions 3D surface construction algorithm. Computer Graphics, 21 (4): 163–169, 1987.
A. Pentland and S. Sclaroff. Closed-form solutions for physically based shape modelling and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13 (7): 715–729, 1991.
M. Syn and R. Prager. A model based approach to 3D freehand ultrasound imaging. In Y. Bizais, C. Barillot, and R. Di Paola, editors, Information Processing in Medical Imaging, Computational Imaging and Vision, pages 361–362. Kluwer Academic, 1995.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag London
About this paper
Cite this paper
Heap, T., Hogg, D. (1997). 3D Deformable Hand Models. In: Harling, P.A., Edwards, A.D.N. (eds) Progress in Gestural Interaction. Springer, London. https://doi.org/10.1007/978-1-4471-0943-3_12
Download citation
DOI: https://doi.org/10.1007/978-1-4471-0943-3_12
Publisher Name: Springer, London
Print ISBN: 978-3-540-76094-8
Online ISBN: 978-1-4471-0943-3
eBook Packages: Springer Book Archive