8.7.1.2.1 Active Contours and Snakes, Shape Priors for Segmentation

Chapter Contents (Back)
Deformable Curves. Snakes. Shape Prior.

Hanek, R.[Robert], Beetz, M.[Michael],
The Contracting Curve Density Algorithm: Fitting Parametric Curve Models to Images Using Local Self-Adapting Separation Criteria,
IJCV(59), No. 3, September-October 2004, pp. 233-258.
DOI Link 0405
Locally adaptive criteria in fitting. BibRef

Hanek, R.[Robert],
The Contracting Curve Density Algorithm and its Application to Model-based Image Segmentation,
CVPR01(I:797-804).
IEEE DOI 0110
BibRef

Mio, W.[Washington], Srivastava, A.[Anuj], Joshi, S.H.[Shantanu H.],
On Shape of Plane Elastic Curves,
IJCV(73), No. 3, July 2007, pp. 307-324.
Springer DOI 0703
BibRef
Earlier: A1, A2 Only:
Elastic-string models for representation and analysis of planar shapes,
CVPR04(II: 10-15).
IEEE DOI 0408
BibRef

Joshi, S.H.[Shantanu H.], Srivastava, A.[Anuj],
Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images,
IJCV(81), No. 3, March 2009, pp. xx-yy.
Springer DOI 0902
Incorporating prior information about high-probability shapes. See also Elastic Shape Models for Face Analysis Using Curvilinear Coordinates. BibRef

Srivastava, A.[Anuj], Klassen, E.[Eric], Joshi, S.H.[Shantanu H.], Jermyn, I.H.[Ian H.],
Shape Analysis of Elastic Curves in Euclidean Spaces,
PAMI(33), No. 7, July 2011, pp. 1415-1428.
IEEE DOI 1106
Square Root Velocity (SRV) representation. Map shape space to unit sphere. See also Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces. BibRef

Drira, H.[Hassen], Amor, B.B.[Boulbaba Ben], Daoudi, M.[Mohamed], Srivastava, A.[Anuj],
Elastic radial curves to model 3D facial deformations,
3DOR10(75-80).
DOI Link 1111
BibRef

Samir, C.[Chafik], Absil, P.A.[Pierre-Antoine], Srivastava, A.[Anuj], Klassen, E.[Eric],
Fitting Curves on Riemannian Manifolds Using Energy Minimization,
MVA09(422-).
PDF File. 0905
BibRef

Gousenbourger, P.Y.[Pierre-Yves], Samir, C.[Chafik], Absil, P.A.[Pierre-Antoine],
Piecewise-Bezier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape Morphing,
ICPR14(4086-4091)
IEEE DOI 1412
Acceleration BibRef

Samir, C.[Chafik], Kurtek, S., Strait, J., Joshi, S.H.[Shantanu H.],
A Statistical Framework for Elastic Shape Analysis of Spatio-Temporal Evolutions of Planar Closed Curves,
DIFF-CV16(972-980)
IEEE DOI 1612
BibRef

Joshi, S.H.[Shantanu H.], Klassen, E.[Eric], Srivastava, A.[Anuj], Jermyn, I.H.[Ian H.],
A Novel Representation for Riemannian Analysis of Elastic Curves in Rn,
CVPR07(1-7).
IEEE DOI 0706
BibRef
And:
Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves,
EMMCVPR07(387-398).
Springer DOI 0708
BibRef

Joshi, S.H.[Shantanu H.], Marquina, A.[Antonio], Osher, S.J.[Stanley J.], Dinov, I.D.[Ivo D.], Van Horn, J.D.[John D.], Toga, A.W.[Arthur W.],
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement,
SSVM09(389-400).
Springer DOI 0906
BibRef

Srivastava, A.[Anuj],
Elastic Riemannian frameworks and statistical tools for shape analysis,
3DOR10(1-1).
DOI Link 1111
BibRef

Srivastava, A.[Anuj], Jermyn, I.H.[Ian H.], Joshi, S.H.[Shantanu H.],
Riemannian Analysis of Probability Density Functions with Applications in Vision,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Srivastava, A.[Anuj], Jermyn, I.H.[Ian H.],
Looking for Shapes in Two-Dimensional Cluttered Point Clouds,
PAMI(31), No. 9, September 2009, pp. 1616-1629.
IEEE DOI 0907
Samples along contours, corrupted by noise. BibRef

Rousson, M.[Mikael], Paragios, N.[Nikos],
Prior Knowledge, Level Set Representations and Visual Grouping,
IJCV(76), No. 3, March 2008, pp. 231-243.
Springer DOI 0801
BibRef
Earlier:
Shape Priors for Level Set Representations,
ECCV02(II: 78 ff.).
Springer DOI 0205
Shape driven object extraction. Shape evolution get the contour and the object pose. BibRef

Kim, J.[Junmo], Çetin, M.[Müjdat], Willsky, A.S.[Alan S.],
Nonparametric shape priors for active contour-based image segmentation,
SP(87), No. 12, December, 2007, pp. 3021-3044.
Elsevier DOI 0905
BibRef

Kim, J.[Junmo], Fisher, III, J.W.[John W.], Yezzi, A.J., Çetin, M.[Müjdat], Willsky, A.S.[Alan S.],
A nonparametric statistical method for image segmentation using information theory and curve evolution,
IP(14), No. 10, October 2005, pp. 1486-1502.
IEEE DOI 0510
BibRef
Earlier:
Nonparametric methods for image segmentation using information theory and curve evolution,
ICIP02(III: 797-800).
IEEE DOI 0210
BibRef
And: A1, A2, A4, A3, A5:
Incorporating complex statistical information in active contour-based image segmentation,
ICIP03(II: 655-658).
IEEE DOI 0312
BibRef

Fisher, III, J.W.[John W.], Principe, J.C.[Jose C.],
A Nonparametric Methodology for Information Theoretic Feature Extraction,
DARPA97(1077-1084). BibRef 9700

Chang, J.[Jason], Cabezas, R.[Randi], Fisher, III, J.W.[John W.],
Bayesian Nonparametric Intrinsic Image Decomposition,
ECCV14(IV: 704-719).
Springer DOI 1408
BibRef

Soganli, A.[Abdurrahim], Uzunbas, M.G.[Mustafa Gökhan], Çetin, M.[Müjdat],
Combining learning-based intensity distributions with nonparametric shape priors for image segmentation,
SIViP(8), No. 4, May 2014, pp. 789-798.
Springer DOI 1404
BibRef

Erdil, E., Ghani, M.U., Rada, L., Argunsah, A.O., Unay, D., Tasdizen, T., Çetin, M.[Müjdat],
Nonparametric Joint Shape and Feature Priors for Image Segmentation,
IP(26), No. 11, November 2017, pp. 5312-5323.
IEEE DOI 1709
image segmentation, maximum likelihood estimation, nonparametric statistics, optimisation, probability, Parzen density estimator, image segmentation, maximum a posteriori estimation framework, nonparametric joint shape and feature priors, BibRef

Mesadi, F., Erdil, E., Cetin, M., Tasdizen, T.,
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models,
MedImg(37), No. 1, January 2018, pp. 293-305.
IEEE DOI 1801
Bayes methods, biomedical MRI, image segmentation, inference mechanisms, medical image processing, 2D data sets, variational methods BibRef

Erdil, E., Yildirim, S., Cetin, M., Tasdizen, T.,
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors,
CVPR16(411-419)
IEEE DOI 1612
BibRef

Uzunbas, M.G., Soldea, O., Unay, D., Cetin, M., Unal, G., Erçil, A., Ekin, A.,
Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation,
MedImg(29), No. 12, December 2010, pp. 1959-1978.
IEEE DOI 1101
BibRef

Shyu, K.K.[Kuo-Kai], Pham, V.T.[Van-Truong], Tran, T.T.[Thi-Thao], Lee, P.L.[Po-Lei],
Unsupervised active contours driven by density distance and local fitting energy with applications to medical image segmentation,
MVA(23), No. 6, November 2012, pp. 1159-1175.
WWW Link. 1210
BibRef

Tran, T.T.[Thi-Thao], Pham, V.T.[Van-Truong], Shyu, K.K.[Kuo-Kai],
Moment-based alignment for shape prior with variational B-spline level set,
MVA(24), No. 5, July 2013, pp. 1075-1091.
WWW Link. 1306
BibRef

Tran, T.T.[Thi-Thao], Pham, V.T.[Van-Truong], Shyu, K.K.[Kuo-Kai],
Zernike moment and local distribution fitting fuzzy energy-based active contours for image segmentation,
SIViP(8), No. 1, January 2014, pp. 11-25.
WWW Link. 1402
BibRef

Tran, T.T.[Thi-Thao], Pham, V.T.[Van-Truong], Shyu, K.K.[Kuo-Kai],
Image segmentation using fuzzy energy-based active contour with shape prior,
JVCIR(25), No. 7, 2014, pp. 1732-1745.
Elsevier DOI 1410
Image segmentation BibRef

Li, D.[Danyi], Li, W.F.[Wei-Feng], Liao, Q.M.[Qing-Min],
Active contours driven by local and global probability distributions,
JVCIR(24), No. 5, July 2013, pp. 522-533.
Elsevier DOI 1306
Image segmentation; Signed pressure force function; Active contour model; Intensity inhomogeneity; Level set method; Local probability distribution; Data-based prior probability; Hybrid model BibRef

Yan, P.K.[Ping-Kun], Zhang, W.[Wuxia], Turkbey, B.[Baris], Choyke, P.L.[Peter L.], Li, X.L.[Xue-Long],
Global structure constrained local shape prior estimation for medical image segmentation,
CVIU(117), No. 9, 2013, pp. 1017-1026.
Elsevier DOI 1307
Target-oriented shape modeling BibRef

Duggan, N.[Nóirín], Bae, E.[Egil], Jones, E.[Edward], Glavin, M.[Martin], Vese, L.A.[Luminita A.],
A simple boundary reinforcement technique for segmentation without prior,
PRL(46), No. 1, 2014, pp. 27-35.
Elsevier DOI 1407
Image segmentation BibRef


Klodt, M.[Maria], Cremers, D.[Daniel],
A convex framework for image segmentation with moment constraints,
ICCV11(2236-2243).
IEEE DOI 1201
relaxation for segmentation. Shape priors BibRef

Hasan, B.[Basela], Hogg, D.C.[David C.],
Segmentation using Deformable Spatial Priors with Application to Clothing,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Huang, F.Z.[Fu-Zhen], Yang, X.H.[Xu-Hong],
Image Segmentation under Occlusion Using Selective Shape Priors,
ICIAR10(I: 89-95).
Springer DOI 1006
BibRef

Huang, F.Z.[Fu-Zhen], She, X.X.[Xing-Xing],
Multiphase Segmentation Based on Implicit Active Shape Models,
ICIAR09(211-219).
Springer DOI 0907
BibRef

Abe, T.[Toru], Matsuzawa, Y.[Yuki],
Active contour model using a priori knowledge of region shape,
ICIP03(III: 409-412).
IEEE DOI 0312
BibRef
Earlier:
Clustering-based control of active contour model,
ICPR02(II: 663-667).
IEEE DOI 0211
BibRef
Earlier:
A Region Extraction Method using Multiple Active Contour Models,
CVPR00(I: 64-69).
IEEE DOI 0005
BibRef
And:
Multiple Active Contour Models with Application to Region Extraction,
ICPR00(Vol I: 626-630).
IEEE DOI 0009
BibRef

Matsuzawa, Y., Kumazawa, I., Abe, T.,
Region Extraction Method Based on Clustering Along an Object Contour,
ICIP01(III: 86-89).
IEEE DOI 0108
BibRef

Matsuzawa, Y.[Yuki], Horiguchi, S.[Susumu], Abe, T.[Toru],
Region Extraction Using Competition of Multiple Active Contour Models,
ICIP99(III:198-202).
IEEE DOI BibRef 9900

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Active Contours and Snakes, Video, Motion Segmentation Issues .


Last update:Jun 14, 2018 at 16:13:32