Variational Segmentation of Image Sequences Using Deformable Shape Priors

Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73040-8_4 ◽

2007 ◽

pp. 31-40 ◽

Author(s):

Ketut Fundana ◽

Niels Chr. Overgaard ◽

Anders Heyden

Keyword(s):

Image Sequences ◽

Shape Priors ◽

Variational Segmentation

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Variational Segmentation of Image Sequences Using Region-Based Active Contours and Deformable Shape Priors

International Journal of Computer Vision ◽

10.1007/s11263-008-0160-6 ◽

2008 ◽

Vol 80 (3) ◽

pp. 289-299 ◽

Author(s):

Ketut Fundana ◽

Niels C. Overgaard ◽

Anders Heyden

Keyword(s):

Active Contours ◽

Image Sequences ◽

Shape Priors ◽

Variational Segmentation

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Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2011.2178122 ◽

2012 ◽

Vol 31 (5) ◽

pp. 1008-1020 ◽

Author(s):

Joshua C. Chang ◽

K. C. Brennan ◽

Tom Chou

Keyword(s):

Image Sequences ◽

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Shape Priors and Online Appearance Learning for Variational Segmentation and Object Recognition in Static Scenes

Lecture Notes in Computer Science - Pattern Recognition ◽

10.1007/11550518_43 ◽

2005 ◽

pp. 342-350 ◽

Author(s):

Martin Bergtholdt ◽

Christoph Schnörr

Keyword(s):

Object Recognition ◽

Shape Priors ◽

Variational Segmentation

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Variational Segmentation with Shape Priors

Handbook of Mathematical Models in Computer Vision ◽

10.1007/0-387-28831-7_8 ◽

2005 ◽

pp. 131-143 ◽

Author(s):

M. Bergtholdh ◽

D. Cremers ◽

C. Schurr

Keyword(s):

Shape Priors ◽

Variational Segmentation

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Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling

Scale Space Methods in Computer Vision - Lecture Notes in Computer Science ◽

10.1007/3-540-44935-3_27 ◽

2003 ◽

pp. 388-400 ◽

Author(s):

Daniel Cremers ◽

Nir Sochen ◽

Christoph Schnörr

Keyword(s):

Shape Priors ◽

Variational Segmentation

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One-Shot Integral Invariant Shape Priors for Variational Segmentation

Lecture Notes in Computer Science - Energy Minimization Methods in Computer Vision and Pattern Recognition ◽

10.1007/11585978_27 ◽

2005 ◽

pp. 414-426 ◽

Author(s):

Siddharth Manay ◽

Daniel Cremers ◽

Anthony Yezzi ◽

Stefano Soatto

Keyword(s):

Integral Invariant ◽

Shape Priors ◽

Variational Segmentation ◽

Invariant Shape

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Deformable Shape Priors in Chan-Vese Segmentation of Image Sequences

2007 IEEE International Conference on Image Processing ◽

10.1109/icip.2007.4378947 ◽

2007 ◽

Author(s):

Ketut Fundana ◽

Niels Chr. Overgaard ◽

Anders Heyden

Keyword(s):

Image Sequences ◽

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Faculty Opinions recommendation of Detecting protein complexes in living cells from laser scanning confocal image sequences by the cross correlation raster image spectroscopy method.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1147129.604257 ◽

2009 ◽

Author(s):

Stephen Lockett

Keyword(s):

Laser Scanning ◽

Cross Correlation ◽

Protein Complexes ◽

Living Cells ◽

Image Sequences ◽

Spectroscopy Method ◽

Confocal Image ◽

Raster Image ◽

Image Spectroscopy ◽

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Object Contour Tracking with Fusion of Color and Incremental Shape Priors

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2009.01394 ◽

2009 ◽

Vol 35 (11) ◽

pp. 1394-1402

Author(s):

Xue ZHOU ◽

Wei-Ming HU

Keyword(s):

Contour Tracking ◽

Shape Priors ◽

Object Contour ◽

Object Contour Tracking

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Track-Before-Declare Methods in IR Image Sequences

10.21236/ada257517 ◽

1992 ◽

Author(s):

Steven M. Bolen

Keyword(s):

Image Sequences

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