8.7.1.3 Snakes, Global Fits, Fitting Specific Models

Chapter Contents (Back)
Snakes. Global Analysis.
See also Active Contours and Snakes, Shape Priors for Segmentation.

Staib, L.H., and Duncan, J.S.,
Boundary Finding with Parametrically Deformable Models,
PAMI(14), No. 11, November 1992, pp. 1061-1075.
IEEE DOI BibRef 9211
Earlier:
Parametrically Deformable Contour Models,
CVPR89(98-103).
IEEE DOI Fourier Descriptors. Global Features. Contour is found using the whole boundary and model based shape using a Fourier decomposition of the boundary. BibRef

Chakraborty, A., Staib, L.H., Duncan, J.S.,
Deformable Boundary Finding in Medical Images by Integrating Gradient and Region Information,
MedImg(15), No. 6, December 1996, pp. 859-870.
IEEE Top Reference. BibRef 9612
Earlier:
Deformable Boundary Finding Influenced by Region Homogeneity,
CVPR94(624-627).
IEEE DOI BibRef

Chakraborty, A.[Amit], Worring, M.[Marcel], Duncan, J.S.[James S.],
On Multi-Feature Integration for Deformable Boundary Finding,
ICCV95(846-851).
IEEE DOI BibRef 9500

Duncan, J.S., Staib, L.H.,
Shape Determination from Incomplete and Noisy Multisensor Imagery,
SRMSF87(334-344). BibRef 8700

Lu, C.[Chao], Duncan, J.S.[James S.],
A coupled segmentation and registration framework for medical image analysis using robust point matching and active shape model,
MMBIA12(129-136).
IEEE DOI 1203
BibRef

Lu, C.[Chao], Zhu, J.J.[Jing-Jing], Duncan, J.S.[James S.],
An algorithm for simultaneous image segmentation and nonrigid registration, with clinical application in image guided radiotherapy,
ICIP11(429-432).
IEEE DOI 1201
BibRef

Nishida, H.,
A Structural Model of Curve Deformation by Discontinuous Transformations,
GMIP(58), No. 2, March 1996, pp. 164-179. For application to character recognition:
See also Automatic Construction of Structural Models Incorporating Discontinuous Transformations. For 3d:
See also Structural Model of Shape Deformation, A. BibRef 9603

Nishida, H.,
Analysis and Synthesis of Deformed Patterns Based on Structural Models,
CVIU(68), No. 1, October 1997, pp. 59-71.
DOI Link 9710
BibRef
Earlier: ICPR96(II: 315-319).
IEEE DOI 9608
(Ricoh Information and Communication, J) BibRef

Wang, Y.M.[Yong-Mei], Staib, L.H.[Lawrence H.],
Boundary Finding with Prior Shape and Smoothness Models,
PAMI(22), No. 7, July 2000, pp. 738-743. 865192 0008
Fitting initial boundary models by varying parameters. BibRef

Wang, Y.M.[Yong-Mei], Staib, L.H.[Lawrence H.],
Boundary Finding with Correspondence Using Statistical Shape Models,
CVPR98(338-345).
IEEE DOI BibRef 9800

Jermyn, I.H.[Ian H.], Ishikawa, H.[Hiroshi],
Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles,
PAMI(23), No. 10, October 2001, pp. 1075-1088.
IEEE DOI 0110
BibRef
Earlier:
Globally Optimal Regions and Boundaries,
ICCV99(904-910).
IEEE DOI BibRef

Ishikawa, H.[Hiroshi], Jermyn, I.H.[Ian H.],
Region Extraction from Multiple Images,
ICCV01(I: 509-516).
IEEE DOI 0106
BibRef

Vemuri, B.C.[Baba C.], Guo, Y.L.[Yan-Lin],
Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control,
PAMI(22), No. 5, May 2000, pp. 445-459.
IEEE DOI 0008
BibRef
Earlier:
Snake Pedals: Geometric Models with Physics-Based Control,
ICCV98(427-432).
IEEE DOI Global (parameterized) and local shape (pedals) modeling. BibRef

Vemuri, B.C.[Baba C.], Guo, Y.L.[Yan-Lin], Wang, Z.Z.[Zhi-Zhou],
Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery,
IJCV(44), No. 2, September 2001, pp. 137-155.
DOI Link Extension of:
See also Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control. Cope with topological changes. Express global shape with a few parameters. 0110
BibRef

Vasilevskiy, A.[Alexander], Siddiqi, K.[Kaleem],
Flux Maximizing Geometric Flows,
PAMI(24), No. 12, December 2002, pp. 1565-1578.
IEEE Abstract. 0212
BibRef
Earlier: ICCV01(I: 149-154).
IEEE DOI 0106
BibRef

Siddiqi, K.[Kaleem], Vasilevskiy, A.[Alexander],
3D Flux Maximizing Flows,
EMMCVPR01(636-650).
Springer DOI 0205
BibRef

Levinshtein, A.[Alex], Stere, A.[Adrian], Kutulakos, K.N.[Kiriakos N.], Fleet, D.J.[David J.], Dickinson, S.J.[Sven J.], Siddiqi, K.[Kaleem],
TurboPixels: Fast Superpixels Using Geometric Flows,
PAMI(31), No. 12, December 2009, pp. 2290-2297.
IEEE DOI 0911
Compute over segmentation of image (i.e. superpixels) but limit via compactness constraint. Very fast segmentation. BibRef

Levinshtein, A.[Alex], Sminchisescu, C.[Cristian], Dickinson, S.J.[Sven J.],
Optimal Image and Video Closure by Superpixel Grouping,
IJCV(100), No. 1, October 2012, pp. 99-119.
WWW Link. 1208
BibRef
Earlier: A3, A1, A2:
Perceptual Grouping Using Superpixels,
MCPR12(13-22).
Springer DOI 1208
BibRef
Earlier: A1, A2, A3:
Spatiotemporal Closure,
ACCV10(I: 369-382).
Springer DOI 1011
BibRef
And: A1, A2, A3:
Optimal Contour Closure by Superpixel Grouping,
ECCV10(II: 480-493).
Springer DOI 1009
BibRef
Earlier: A1, A2, A3:
Learning Hierarchical Shape Models from Examples,
EMMCVPR05(251-267).
Springer DOI 0601
BibRef

Levinshtein, A.[Alex], Sminchisescu, C.[Cristian], Dickinson, S.J.[Sven J.],
Multiscale Symmetric Part Detection and Grouping,
IJCV(104), No. 2, September 2013, pp. 117-134.
Springer DOI 1308
BibRef
Earlier: A1, A2, A3: ICCV09(2162-2169).
IEEE DOI
PDF File. 0909
BibRef

Leordeanu, M.[Marius], Sukthankar, R.[Rahul], Sminchisescu, C.[Cristian],
Generalized Boundaries from Multiple Image Interpretations,
PAMI(36), No. 7, July 2014, pp. 1312-1324.
IEEE DOI 1407
BibRef
Earlier:
Efficient Closed-Form Solution to Generalized Boundary Detection,
ECCV12(IV: 516-529).
Springer DOI 1210
Computational modeling, extended boundaries. BibRef

Weruaga, L.[Luis], Verdu-Monedero, R.[Rafael], Morales, J.,
Frequency Domain Formulation of Active Parametric Deformable Models,
PAMI(26), No. 12, December 2004, pp. 1568-1578.
IEEE Abstract. 0411
FFT formulation of active models. BibRef

Verdu-Monedero, R.[Rafael], Morales-Sanchez, J.[Juan], Weruaga, L.[Luis],
Convergence analysis of active contours,
IVC(26), No. 8, 1 August 2008, pp. 1118-1128.
Elsevier DOI 0806
Active contours; Snakes; Convergence analysis; image segmentation BibRef

Verdu-Monedero, R.[Rafael], Morales-Sanchez, J.[Juan], Gonzalez, R., Weruaga, L.[Luis],
Convergence analysis of active contours in image segmentation,
ICIP04(IV: 2749-2752).
IEEE DOI 0505
BibRef

Morales, J., Verdu-Monedero, R.[Rafael], Gonzalez, R., Weruaga, L.,
Fuzzy non-rigid motion estimation robust to rotation,
ICIP04(III: 1489-1492).
IEEE DOI 0505
BibRef

Krinidis, S., Pitas, I.,
Fast Free-Vibration Modal Analysis of 2-D Physics-Based Deformable Objects,
IP(14), No. 3, March 2005, pp. 281-293.
IEEE DOI 0501
BibRef

Krinidis, S., Chatzis, V.,
Principal Axes Estimation Using the Vibration Modes of Physics-Based Deformable Models,
IP(17), No. 6, June 2008, pp. 1007-1019.
IEEE DOI 0711
BibRef

Krinidis, S., Chatzis, V.,
A Skeleton Family Generator via Physics-Based Deformable Models,
IP(18), No. 1, January 2009, pp. 1-11.
IEEE DOI 0812
BibRef

Krinidis, S., Chatzis, V.,
Fuzzy Energy-Based Active Contours,
IP(18), No. 12, December 2009, pp. 2747-2755.
IEEE DOI 0912
BibRef

Krinidis, S.,
Fast 2-D Distance Transformations,
IP(21), No. 4, April 2012, pp. 2178-2186.
IEEE DOI 1204
BibRef

Krinidis, M.[Michail], Pitas, I.[Ioannis],
Color Texture Segmentation Based on the Modal Energy of Deformable Surfaces,
IP(18), No. 7, July 2009, pp. 1613-1622.
IEEE DOI 0906

See also 3-D Head Pose Estimation in Monocular Video Sequences Using Deformable Surfaces and Radial Basis Functions. BibRef

Hajdu, A.[Andras], Pitas, I.[Ioannis],
Piecewise Linear Digital Curve Representation and Compression Using Graph Theory and a Line Segment Alphabet,
IP(17), No. 2, February 2008, pp. 126-133.
IEEE DOI 0801
BibRef
Earlier:
Compression Optimized Tracing of Digital Curves using Graph Theory,
ICIP07(VI: 453-456).
IEEE DOI 0709
BibRef

Hajdu, A.[Andras], Pitas, I.[Ioannis],
Content Adaptive Heterogeneous Snakes,
ICIP07(I: 253-256).
IEEE DOI 0709
BibRef

Hou, Z.Q.[Zhi-Qiang], Han, C.Z.[Chong-Zhao],
Force field analysis snake: an improved parametric active contour model,
PRL(26), No. 5, April 2005, pp. 513-526.
Elsevier DOI 0501
BibRef

Sumengen, B.[Baris], Manjunath, B.S.,
Graph Partitioning Active Contours (GPAC) for Image Segmentation,
PAMI(28), No. 4, April 2006, pp. 509-521.
IEEE DOI 0604
Code, Segmentation. Code available
WWW Link. BibRef

Sumengen, B.[Baris], Bhagavathy, S.[Sitaram], Manjunath, B.S.,
Graph Partitioning Active Contours for Knowledge-Based Geo-Spatial Segmentation,
PercOrg04(54).
IEEE DOI 0502
BibRef

Foulonneau, A.[Alban], Charbonnier, P.[Pierre], Heitz, F.[Fabrice],
Affine-Invariant Geometric Shape Priors for Region-Based Active Contours,
PAMI(28), No. 8, August 2006, pp. 1352-1357.
IEEE DOI 0606
BibRef
Earlier:
Geometric shape priors for region-based active contours,
ICIP03(III: 413-416).
IEEE DOI 0312
BibRef

Foulonneau, A.[Alban], Charbonnier, P.[Pierre], Heitz, F.[Fabrice],
Multi-Reference Shape Priors for Active Contours,
IJCV(81), No. 1, January 2009, pp. xx-yy.
Springer DOI 0901
BibRef
Earlier:
Affine-Invariant Multi-reference Shape Priors for Active Contours,
ECCV06(II: 601-613).
Springer DOI 0608
BibRef

Manay, S.[Siddharth], Cremers, D.[Daniel], Hong, B.W.[Byung-Woo], Yezzi, A.J.[Anthony J.], Soatto, S.[Stefano],
Integral Invariants for Shape Matching,
PAMI(28), No. 10, October 2006, pp. 1602-1618.
IEEE DOI 0609
Integral invariants as opposed to differential invariants.
See also Dynamic Shape and Appearance Modeling via Moving and Deforming Layers.
See also Anti-Geometric Diffusion for Adaptive Thresholding and Fast Segmentation. BibRef

Sundaramoorthi, G.[Ganesh], Hong, B.W.[Byung-Woo],
FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems,
CVPR14(3126-3133)
IEEE DOI 1409
Multi-Label;Segmentation BibRef

Hong, B.W.[Byung-Woo], Lu, Z.J.[Zhao-Jin], Sundaramoorthi, G.[Ganesh],
A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems,
CVPR13(1219-1226)
IEEE DOI 1309
Multi-Label Mumford-Shah. Partition image and functions within regions. BibRef

Manay, S.[Siddharth], Cremers, D.[Daniel], Yezzi, A.J.[Anthony J.], Soatto, S.[Stefano],
One-Shot Integral Invariant Shape Priors for Variational Segmentation,
EMMCVPR05(414-426).
Springer DOI 0601
BibRef

Zhu, G.P.[Guo-Pu], Zhang, S.Q.[Shu-Qun], Zeng, Q.S.[Qing-Shuang], Wang, C.H.[Chang-Hong],
Anisotropic virtual electric field for active contours,
PRL(29), No. 11, 1 August 2008, pp. 1659-1666.
Elsevier DOI 0804
Active contours; Virtual electric field; Gradient vector flow; Image segmentation BibRef

Zhu, G.P.[Guo-Pu], Zhang, S.Q.[Shu-Qun], Zeng, Q.S.[Qing-Shuang], Wang, C.H.[Chang-Hong],
Gradient vector flow active contours with prior directional information,
PRL(31), No. 9, 1 July 2010, pp. 845-856.
Elsevier DOI 1004
Active contours; Snakes; Gradient vector flow; Image segmentation BibRef

Li, C.M.[Chun-Ming], Kao, C.Y.[Chiu-Yen], Gore, J.C.[John C.], Ding, Z.H.[Zhao-Hua],
Minimization of Region-Scalable Fitting Energy for Image Segmentation,
IP(17), No. 10, October 2008, pp. 1940-1949.
IEEE DOI 0809
BibRef
Earlier:
Implicit Active Contours Driven by Local Binary Fitting Energy,
CVPR07(1-7).
IEEE DOI 0706
BibRef

Yang, Y.Y.[Yun-Yun], Li, C.M.[Chun-Ming], Kao, C.Y.[Chiu-Yen], Osher, S.J.[Stanley J.],
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation,
ISVC10(II: 117-128).
Springer DOI 1011
BibRef

Lankton, S.[Shawn], Tannenbaum, A.[Allen],
Localizing Region-Based Active Contours,
IP(17), No. 11, November 2008, pp. 1-11.
IEEE DOI
PDF File. 0810
BibRef

Lankton, S.[Shawn], Melonakos, J.[John], Malcolm, J.[James], Dambreville, S.[Samuel], Tannenbaum, A.[Allen],
Localized statistics for DW-MRI fiber bundle segmentation,
MMBIA08(1-8).
IEEE DOI
PDF File. 0806
BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
MAC: Magnetostatic Active Contour Model,
PAMI(30), No. 4, April 2008, pp. 632-646.
IEEE DOI 0803
BibRef
And: Correction: PAMI(30), No. 5, May 2008, pp. xx.
IEEE DOI 0803
BibRef
Earlier:
Magnetostatic Field for the Active Contour Model: A Study in Convergence,
BMVC06(I:127).
PDF File. 0609
BibRef

Yang, R.H.[Rong-Hua], Mirmehdi, M.[Majid], Xie, X.H.[Xiang-Hua],
A Charged Active Contour Based on Electrostatics,
ACIVS06(173-184).
Springer DOI 0609
BibRef

Yang, R.H.[Rong-Hua], Mirmehdi, M.[Majid],
A Charged Geometric Model for Active Contours,
ICPR06(II: 183-186).
IEEE DOI 0609
BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
RAGS: Region-Aided Geometric Snake,
IP(13), No. 5, May 2004, pp. 640-652.
IEEE DOI 0404
BibRef
Earlier:
Geodesic Colour Active Contour Resistent to Weak Edges and Noise,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Xie, X.H.[Xiang-Hua], Mirmehdi, M.[Majid],
Initialisation-Free Active Contour Segmentation,
ICPR10(2318-2321).
IEEE DOI 1008
BibRef

Xie, X.H.,
Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion,
IP(19), No. 1, January 2010, pp. 154-164.
IEEE DOI 1001
BibRef

Zhang, H.Z.[Huai-Zhong], Xie, X.H.[Xiang-Hua],
Divergence of Gradient Convolution: Deformable Segmentation With Arbitrary Initializations,
IP(24), No. 11, November 2015, pp. 3902-3914.
IEEE DOI 1509
convex programming BibRef

Srikrishnan, V., Chaudhuri, S.[Subhasis],
Stabilization of Parametric Active Contours Using a Tangential Redistribution Term,
IP(18), No. 8, August 2009, pp. 1859-1872.
IEEE DOI 0907
BibRef

Srikrishnan, V., Chaudhuri, S.[Subhasis], Roy, S.D.[Sumantra Dutta], Sevcovic, D.[Daniel],
On Stabilisation of Parametric Active Contours,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Srikrishnan, V., Chaudhuri, S.[Subhasis],
Adaptive smoothness based robust active contours,
IVC(29), No. 5, April 2011, pp. 317-328.
Elsevier DOI 1103
Active contours; Segmentation; Tracking; Space varying smoothness term BibRef

Vard, A.R.[Ali Reza], Moallem, P.[Payman], Nilchi, A.R.N.[Ahmad Reza Naghsh],
Texture-based parametric active contour for target detection and tracking,
IJIST(19), No. 3, September 2009, pp. 187-198.
DOI Link 0909
BibRef

Vard, A.R.[Ali-Reza], Jamshidi, K.[Kamal], Movahhedinia, N.[Naser],
Small object detection in cluttered image using a correlation based active contour model,
PRL(33), No. 5, 1 April 2012, pp. 543-553.
Elsevier DOI 1202
Small object detection; Active contour model; Cluttered image; Correlation BibRef

Yu, T.L.[Tian-Li], Luo, J.B.[Jie-Bo], Ahuja, N.[Narendra],
Search strategies for shape regularized active contour,
CVIU(113), No. 10, October 2009, pp. 1053-1063.
Elsevier DOI 0910
BibRef
Earlier:
Shape Regularized Active Contour Using Iterative Global Search and Local Optimization,
CVPR05(II: 655-662).
IEEE DOI 0507
Active contour; Object segmentation; Dynamic programming; Local optimization; Nonlinear shape models BibRef

Choi, H.[Haechul], Shin, H.C.[Ho Chul], Lee, S.W.[Si-Woong], Ko, Y.H.[Yun-Ho],
Moments Added Statistical Shape Model for Boundary Extraction,
IEICE(E92-D), No. 12, December 2009, pp. 2524-2526.
WWW Link. 0912
Deform model template to the actual boundary. BibRef

Lim, M.J.[Moon-Jai], Han, C.H.[Chan-Hee], Lee, S.W.[Si-Woong], Ko, Y.H.[Yun-Ho],
Fast Shape Matching Using Statistical Features of Shape Contexts,
IEICE(E94-D), No. 10, October 2011, pp. 2056-2058.
WWW Link. 1110
BibRef

Chen, C.[Cheng], Fan, G.L.[Guo-Liang],
Coupled region-edge shape priors for simultaneous localization and figure-ground segmentation,
PR(43), No. 7, July 2010, pp. 2521-2531.
Elsevier DOI 1003
BibRef
Earlier:
Hybrid body representation for integrated pose recognition, localization and segmentation,
CVPR08(1-8).
IEEE DOI 0806
Figure-ground segmentation; Shape priors; Segmentation; Localization; Watersheds; Online learning; Kernel-based color modeling BibRef

Chen, Q.A.[Qi-Ang], Sun, Q.S.[Quan-Sen], Heng, P.A.[Pheng Ann], Xia, D.S.[De-Shen],
Two-Stage Object Tracking Method Based on Kernel and Active Contour,
CirSysVideo(20), No. 4, April 2010, pp. 605-609.
IEEE DOI 1003

See also Fast and active texture segmentation based on orientation and local variance. BibRef

Bai, X.J.[Xiao-Jing], Li, C.M.[Chun-Ming], Sun, Q.S.[Quan-Sen], Xia, D.S.[De-Shen],
Contrast Constrained Local Binary Fitting for Image Segmentation,
ISVC09(I: 886-895).
Springer DOI 0911
BibRef

Afifi, A.[Ahmed], Nakaguchi, T.[Toshiya], Tsumura, N.[Norimichi], Miyake, Y.[Yoichi],
A Model Optimization Approach to the Automatic Segmentation of Medical Images,
IEICE(E93-D), No. 4, April 2010, pp. 882-890.
WWW Link. 1003
Fit non-linear shape model BibRef

Liu, X.Q.[Xiao-Qing], Veksler, O.[Olga], Samarabandu, J.[Jagath],
Order-Preserving Moves for Graph-Cut-Based Optimization,
PAMI(32), No. 7, July 2010, pp. 1182-1196.
IEEE DOI 1006
BibRef
Earlier:
Graph cut with ordering constraints on labels and its applications,
CVPR08(1-8).
IEEE DOI 0806

See also Fast Approximate Energy Minimization via Graph Cuts. Graph-cut incorporate smoothness constraints. Add ordering (i.e. context, or relations of identified objects) constraints. BibRef

Mehrani, P.[Paria], Veksler, O.[Olga],
Saliency Segmentation based on Learning and Graph Cut Refinement,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Wang, Y., Liu, L., Zhang, H., Cao, Z., Lu, S.,
Image Segmentation Using Active Contours With Normally Biased GVF External Force,
SPLetters(17), No. 10, October 2010, pp. 875-878.
IEEE DOI 1008
External Force spec for active contours. BibRef

Li, Y.[Yan], Luo, S.W.[Si-Wei], Zou, Q.[Qi],
Active Contour Model Based on Salient Boundary Point Image for Object Contour Detection in Natural Image,
IEICE(E93-D), No. 11, November 2010, pp. 3136-3139.
WWW Link. 1011
BibRef

Liu, W.P.[Wei-Ping], Shang, Y.F.[Yan-Feng], Yang, X.[Xin], Deklerck, R.[Rudi], Cornelis, J.[Jan],
A shape prior constraint for implicit active contours,
PRL(32), No. 15, 1 November 2011, pp. 1937-1947.
Elsevier DOI 1112
Image segmentation; Implicit active contour; Shape prior constraint; Registration; Level set methods BibRef

Liu, W.P.[Wei-Ping], Shang, Y.F.[Yan-Feng], Yang, X.[Xin],
Active contour model driven by local histogram fitting energy,
PRL(34), No. 6, 15 April 2013, pp. 655-662.
Elsevier DOI 1303
Active contour model; Histogram distance; Image segmentation; Local fittingNonparametric BibRef

Zeng, D.[Delu], Zhou, Z.H.[Zhi-Heng], Xie, S.L.[Sheng-Li],
Image Segmentation Based on the Poincaré Map Method,
IP(21), No. 3, March 2012, pp. 946-957.
IEEE DOI 1203
Active contour seg BibRef

Litman, R.[Roee], Bronstein, A.M.[Alex M.],
Learning Spectral Descriptors for Deformable Shape Correspondence,
PAMI(36), No. 1, 2014, pp. 171-180.
IEEE DOI 1312
Eigenvalues and eigenfunctions BibRef

Kokkinos, I.[Iasonas], Bronstein, M.M.[Michael M.], Litman, R.[Roee], Bronstein, A.M.[Alex M.],
Intrinsic shape context descriptors for deformable shapes,
CVPR12(159-166).
IEEE DOI 1208
BibRef

Meng, F., Li, H., Liu, G., Ngan, K.N.,
Image Cosegmentation by Incorporating Color Reward Strategy and Active Contour Model,
Cyber(43), No. 2, April 2013, pp. 725-737.
IEEE DOI 1303
BibRef

Kim, W.J.[Won-Jun], Kim, C.[Changick],
Active Contours Driven by the Salient Edge Energy Model,
IP(22), No. 4, April 2013, pp. 1667-1673.
IEEE DOI 1303

See also Texture-Aware Salient Edge Model for Image Retargeting, A. BibRef

Lee, H.[Hyukzae], Kim, C.[Changick],
Blurred image region detection and segmentation,
ICIP14(4427-4431)
IEEE DOI 1502
Accuracy BibRef

Xie, X.Z.[Xiao-Zhen], Wu, J.T.[Ji-Tao], Jing, M.G.[Ming-Gang],
Fast two-stage segmentation via non-local active contours in multiscale texture feature space,
PRL(34), No. 11, 1 August 2013, pp. 1230-1239.
Elsevier DOI 1306
Total variation minimization; Split Bregman method; Texture segmentation; Active contours; Wasserstein distance; Multi-scale space BibRef

Tedín, R., Becerra, J.A., Duro, R.J.[Richard J.],
Using classifiers as heuristics to describe local structure in Active Shape Models with small training sets,
PRL(34), No. 14, 2013, pp. 1710-1718.
Elsevier DOI 1308
Local appearance model BibRef

Lellmann, J.[Jan], Lellmann, B.[Björn], Widmann, F.[Florian], Schnörr, C.[Christoph],
Discrete and Continuous Models for Partitioning Problems,
IJCV(104), No. 3, September 2013, pp. 241-269.
Springer DOI 1308
Extension of:
See also Generalized ordering constraints for multilabel optimization. BibRef

Wu, Y.W.[Yu-Wei], Wang, Y.Q.[Yuan-Quan], Jia, Y.D.[Yun-De],
Adaptive diffusion flow active contours for image segmentation,
CVIU(117), No. 10, 2013, pp. 1421-1435.
Elsevier DOI 1309
BibRef
Earlier: A1, A3, A2:
Adaptive Diffusion Flow for Parametric Active Contours,
ICPR10(2788-2791).
IEEE DOI 1008
Active contour model BibRef

Wang, Y.Q.[Yuan-Quan], Jia, Y.D.[Yun-De],
Convolutional Virtual Electric Field External Force for Active Contours,
ACCV09(III: 11-20).
Springer DOI 0909
BibRef

Wang, Y.Q.[Yuan-Quan], Liang, J.[Jia], Jia, Y.D.[Yun-De],
On the Critical Point of Gradient Vector Flow Snake,
ACCV07(II: 754-763).
Springer DOI 0711
BibRef

Mendoza, C.S.[Carlos S.], Perez-Carrasco, J.A., Saez, A., Acha, B.[Begona], Serrano, C.[Carmen],
Linearized Multidimensional Earth-Mover's-Distance Gradient Flows,
IP(22), No. 12, 2013, pp. 5322-5335.
IEEE DOI 1312
gradient methods BibRef

Mendoza, C.S.[Carlos S.], Acha, B.[Begoña], Serrano, C.[Carmen], Gómez-Cía, T.[Tomás],
Self-assessed Contrast-Maximizing Adaptive Region Growing,
ACIVS09(652-663).
Springer DOI 0909
BibRef

Mendoza, C.S.[Carlos S.], Bohorquez-Ruiz, G.[German], Acha, B.[Begona], Serrano, C.[Carmen],
Multi-dimensional earth mover's distance active contours,
ICIP11(3173-3176).
IEEE DOI 1201
BibRef

Papari, G.,
Tension in Active Shapes,
IP(23), No. 1, January 2014, pp. 366-375.
IEEE DOI 1402
edge detection BibRef

Schaeffer, H.[Hayden], Vese, L.A.[Luminita A.],
Active Contours with Free Endpoints,
JMIV(49), No. 1, May 2014, pp. 20-36.
WWW Link. 1404
BibRef

Liu, X.[Xin], Peng, S.J.[Shu-Juan], Cheung, Y.M.[Yiu-Ming], Tang, Y.Y.[Yuan Yan], Du, J.X.[Ji-Xiang],
Active contours with a joint and region-scalable distribution metric for interactive natural image segmentation,
IET-IPR(8), No. 12, 2014, pp. 824-832.
DOI Link 1412
BibRef
Earlier: A2, A1, A3, Only:
Active contours with a novel distribution metric for complex object segmentation,
ICIP11(3345-3348).
IEEE DOI 1201
filtering theory BibRef

Azizi, A.[Abdallah], Elkourd, K.[Kaouther],
Fast Region-based Active Contour Model Driven by Local Signed Pressure Force,
ELCVIA(15), No. 1, 2016, pp. 1-13.
DOI Link 1604
BibRef

Huang, C.[Chen], Han, T.X.[Tony X.], He, Z.H.[Zhi-Hai], Cao, W.M.[Wen-Ming],
Constellational contour parsing for deformable object detection,
JVCIR(38), No. 1, 2016, pp. 540-549.
Elsevier DOI 1605
Object detection Contour model for specific class of object. BibRef

Rosado-Toro, J.A., Altbach, M.I., Rodríguez, J.J.,
Dynamic Programming Using Polar Variance for Image Segmentation,
IP(25), No. 12, December 2016, pp. 5857-5866.
IEEE DOI 1612
dynamic programming BibRef

Razi, A.[Amir], Wang, W.W.[Wei-Wei], Feng, X.C.[Xiang-Chu],
Image Segmentation by Active Contour Model with a New Data Fidelity,
CMVIT17(52-57)
IEEE DOI 1704
images with inhomogeneous intensity and low contrast. gradient methods BibRef

Mukherjee, P.[Prerana], Lall, B.[Brejesh],
Saliency and KAZE features assisted object segmentation,
IVC(61), No. 1, 2017, pp. 82-97.
Elsevier DOI 1704
Saliency
See also KAZE Features. BibRef

Mukherjee, P.[Prerana], Lall, B.[Brejesh], Shah, A.[Archit],
Saliency map based improved segmentation,
ICIP15(1290-1294)
IEEE DOI 1512
PQFT; Saliency; anisotropic non-linear diffusion; segmentation BibRef

Bhugra, S.[Swati], Kaushik, V.[Vinay], Mateos, I.C.[Isaac Castro], Chaudhury, S.[Santanu], Lall, B.[Brejesh],
Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach,
IVCNZ21(1-6)
IEEE DOI 2201
Representation learning, Deep learning, Image segmentation, Annotations, Image color analysis, Databases, Buildings BibRef

Cui, W.C.[Wen-Chao], Gong, G.Q.[Guo-Qiang], Lu, K.[Ke], Sun, S.F.[Shui-Fa], Dong, F.M.[Fang-Min],
Convex-relaxed active contour model based on localised kernel mapping,
IET-IPR(11), No. 11, November 2017, pp. 976-985.
DOI Link 1711
BibRef

Wu, X.Y.[Xi-Yin], Ma, X.D.[Xiao-Di], Zhang, J.X.[Jin-Xia], Jin, Z.[Zhong],
Salient object detection via reliable boundary seeds and saliency refinement,
IET-CV(13), No. 3, April 2019, pp. 302-311.
DOI Link 1904
BibRef

Araújo, R.J.[Ricardo J.], Fernandes, K.[Kelwin], Cardoso, J.S.[Jaime S.],
Sparse Multi-Bending Snakes,
IP(28), No. 8, August 2019, pp. 3898-3909.
IEEE DOI 1907
bending, edge detection, image segmentation, object tracking, optimisation, emblematic algorithms, sparsity BibRef

Dai, M.[Ming], Zhou, Z.H.[Zhi-Heng], Wang, T.L.[Tian-Lei], Guo, Y.F.[Yong-Fan],
Nonparametric Distribution Prior Model for Image Segmentation,
IEICE(E103-D), No. 2, February 2020, pp. 416-423.
WWW Link. 2002
BibRef

Yezzi, A.J.[Anthony J.], Sundaramoorthi, G.[Ganesh], Benyamin, M.[Minas],
Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case,
SIIMS(13), No. 4, 2020, pp. 2029-2062.
DOI Link 2012
BibRef
Earlier:
PDE Acceleration for Active Contours,
CVPR19(12310-12320).
IEEE DOI 2002
BibRef

Acharya, K.[Kuldip], Ghoshal, D.[Dibyendu], Bhattacharyya, B.K.[Bidyut K.],
Segmentation of images through curve fitting analysis by modified Vandermonde matrix and modified Gram-Schmidt method,
IET-IPR(14), No. 17, 24 December 2020, pp. 4588-4598.
DOI Link 2104
BibRef

Meng, X.C.[Xin-Chao], Si, S.[Si],
Active contour model based on hybrid signed pressure force function,
IET-IPR(17), No. 13, 2023, pp. 3702-3712.
DOI Link 2311
image recognition, image segmentation BibRef

Kuo, W., Angelova, A., Malik, J., Lin, T.,
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors,
ICCV19(9206-9215)
IEEE DOI 2004
Code, Segmentation.
WWW Link. image segmentation, object detection, object recognition, pose estimation, shape recognition, supervised learning, Robots BibRef

Isack, H.[Hossam], Veksler, O.[Olga], Oguz, I., Sonka, M.[Milan], Boykov, Y.Y.[Yuri Y.],
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS),
CVPR17(4981-4989)
IEEE DOI 1711
Brain modeling, Image segmentation, Labeling, Measurement, Optimization methods, Shape BibRef