Book chapter
Robust Active Appearance Model Matching
Information Processing in Medical Imaging, pp.114-125
Lecture Notes in Computer Science, vol 3565, Springer Berlin Heidelberg
2005
DOI: 10.1007/11505730_10
Abstract
A novel robust active appearance model (AAM) matching algorithm is presented. The method consists of two main stages. First, initial residuals are clustered by a non parametric mean shift mode detection step. Second, modes without gross outliers are selected using an objective function. Robustness of the matching procedure is demonstrated on a variety of examples with different noise conditions. The proposed algorithm outperformed the conventional AAM matching on images with gross disturbances and can tolerate up to 40% of disturbed data.
Details
- Title: Subtitle
- Robust Active Appearance Model Matching
- Creators
- Reinhard Beichel - Institute for Computer Graphics and Vision, Graz University of Technology, Graz, AustriaHorst Bischof - Institute for Computer Graphics and Vision, Graz University of Technology, Graz, AustriaFranz Leberl - Institute for Computer Graphics and Vision, Graz University of Technology, Graz, AustriaMilan Sonka - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, USA
- Resource Type
- Book chapter
- Publication Details
- Information Processing in Medical Imaging, pp.114-125
- Series
- Lecture Notes in Computer Science; vol 3565
- DOI
- 10.1007/11505730_10
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin
- Language
- English
- Date published
- 2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984083865102771
Metrics
16 Record Views