Abstract
This paper presents a public domain implementation of the Active Appearance Model framework and gives examples using it for segmentation and analysis of medical images. The software is open source, designed with efficiency in mind, and has been thoroughly tested and evaluated in several medical and non-medical applications.
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Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. In: Proc. European Conf. on Computer Vision, vol. 2, pp. 484–498. Springer, Heidelberg (1998)
Cootes, T.F., Taylor, C.J.: Statistical Models of Appearance for Computer Vision. Tech. report, University of Manchester (2001), http://www.isbe.man.ac.uk/~bim/
Edwards, G.J., Taylor, C.J., Cootes, T.F.: Interpreting face images using active appearance models. In: Proc. 3rd IEEE Int. Conf. on Automatic Face and Gesture Recognition, pp. 300–305. IEEE Computer Society Press, Los Alamitos (1998)
Stegmann, M.B., Ersbøll, B.K., Larsen, R.: FAME – a flexible appearance modelling environment. IEEE Trans. on Medical Imaging (2003) (to appear)
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Stegmann, M.B. (2003). The AAM-API: An Open Source Active Appearance Model Implementation. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_118
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DOI: https://doi.org/10.1007/978-3-540-39903-2_118
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
Online ISBN: 978-3-540-39903-2
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