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Second International Workshop on Digital and Computational Video (DCV'01)
Active Appearance Motion Model Segmentation
Tampa, Florida
February 08-February 09
ISBN: 0-7695-1110-4
ASCII Text
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Milan Sonka, Steven C. Mitchell, Boudewijn P.F. Lelieveldt, Johan G. Bosch, Rob J. Van der Geest, Johan H.C. Reiber, "Active Appearance Motion Model Segmentation," Digital and Computational Video, International Workshop on, pp. 64, Second International Workshop on Digital and Computational Video (DCV'01), 2001.
 
 
BibTex
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@article{ 10.1109/DCV.2001.929943,
author = {Milan Sonka and Steven C. Mitchell and Boudewijn P.F. Lelieveldt and Johan G. Bosch and Rob J. Van der Geest and Johan H.C. Reiber},
title = {Active Appearance Motion Model Segmentation},
journal ={Digital and Computational Video, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1110-4},
pages = {64},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCV.2001.929943},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Digital and Computational Video, International Workshop on
TI - Active Appearance Motion Model Segmentation
SN - 0-7695-1110-4
SP
EP
A1 - Milan Sonka,
A1 - Steven C. Mitchell,
A1 - Boudewijn P.F. Lelieveldt,
A1 - Johan G. Bosch,
A1 - Rob J. Van der Geest,
A1 - Johan H.C. Reiber,
PY - 2001
VL - 0
JA - Digital and Computational Video, International Workshop on
ER -
 
Milan Sonka, University of Iowa
Steven C. Mitchell, University of Iowa
Boudewijn P.F. Lelieveldt, Leiden University Medical Center
Johan G. Bosch, Leiden University Medical Center
Rob J. Van der Geest, Leiden University Medical Center
Johan H.C. Reiber, Leiden University Medical Center
An adaptive method for temporal sequence segmentation was developed and its performance assessed in segmentation of cardiac motion image sequences. The primary contribution of this paper is the development of a novel, 2D+time Active Appearance Motion Model (AAMM) that represents the dynamics of the cardiac cycle in combination with the shape and image appearance of the heart. Cootes' 2D Active Appearance Model (AAM) framework was extended by considering a complete image sequence as a single shape/intensity sample. This w ay, the proven strength of AAM's lik e robustness and ability to capture observer preference are augmented with temporal consistency over an image sequence.
Citation:
Milan Sonka, Steven C. Mitchell, Boudewijn P.F. Lelieveldt, Johan G. Bosch, Rob J. Van der Geest, Johan H.C. Reiber, "Active Appearance Motion Model Segmentation," dcv, pp.64, Second International Workshop on Digital and Computational Video (DCV'01), 2001
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