8.7.1.3 Snakes, Global Fits, Fitting Specific Models

Chapter Contents (Back)
Snakes. Global Analysis.

Staib, L.H., and Duncan, J.S.,
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Earlier:
Parametrically Deformable Contour Models,
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Deformable Boundary Finding Influenced by Region Homogeneity,
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Chakraborty, A.[Amit], Worring, M.[Marcel], Duncan, J.S.[James S.],
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Wang, Y.M.[Yong-Mei], Staib, L.H.[Lawrence H.],
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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,
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Jermyn, I.H.[Ian H.], Ishikawa, H.[Hiroshi],
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Globally Optimal Regions and Boundaries,
ICCV99(904-910).
IEEE DOI BibRef

Ishikawa, H.[Hiroshi], Jermyn, I.H.[Ian H.],
Region Extraction from Multiple Images,
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IEEE DOI 0106
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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
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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.[Zhizhou],
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
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Vasilevskiy, A.[Alexander], Siddiqi, K.[Kaleem],
Flux Maximizing Geometric Flows,
PAMI(24), No. 12, December 2002, pp. 1565-1578.
IEEE Abstract. 0212
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Earlier: ICCV01(I: 149-154).
IEEE DOI 0106
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Siddiqi, K.[Kaleem], Vasilevskiy, A.[Alexander],
3D Flux Maximizing Flows,
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Springer DOI 0205
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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.
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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
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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
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And: A1, A2, A3:
Optimal Contour Closure by Superpixel Grouping,
ECCV10(II: 480-493).
Springer DOI 1009
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Earlier: A1, A2, A3:
Learning Hierarchical Shape Models from Examples,
EMMCVPR05(251-267).
Springer DOI 0601
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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
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Earlier: A1, A2, A3: ICCV09(2162-2169).
IEEE DOI
PDF File. 0909
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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
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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],
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IVC(26), No. 8, 1 August 2008, pp. 1118-1128.
WWW Link. 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
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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
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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
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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
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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
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Krinidis, S., Chatzis, V.,
Fuzzy Energy-Based Active Contours,
IP(18), No. 12, December 2009, pp. 2747-2755.
IEEE DOI 0912
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Krinidis, S.,
Fast 2-D Distance Transformations,
IP(21), No. 4, April 2012, pp. 2178-2186.
IEEE DOI 1204
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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
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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
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Hou, Z.Q.A.[Zhi-Qi-Ang], Han, C.Z.[Chong-Zhao],
Force field analysis snake: an improved parametric active contour model,
PRL(26), No. 5, April 2005, pp. 513-526.
WWW Link. 0501
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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
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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
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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.
WWW Link. 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
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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

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
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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
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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
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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],
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IEICE(E94-D), No. 10, October 2011, pp. 2056-2058.
WWW Link. 1110
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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
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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
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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
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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
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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
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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
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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.[Yuwei], 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
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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 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


Isack, H.[Hossam], Veksler, O.[Olga], Sonka, M.[Milan], Boykov, Y.Y.[Yuri Y.],
Hedgehog Shape Priors for Multi-Object Segmentation,
CVPR16(2434-2442)
IEEE DOI 1612
BibRef

Royer, L.A., Richmond, D.L., Rother, C., Andres, B., Kainmueller, D.[Dagmar],
Convexity Shape Constraints for Image Segmentation,
CVPR16(402-410)
IEEE DOI 1612
BibRef

Kihara, Y., Soloviev, M., Chen, T.,
In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-region Segmentation,
CVPR16(392-401)
IEEE DOI 1612
BibRef

Park, F.[Fredrick],
Image segmentation using clique based shape prior and the Mumford Shah Functional,
ICIP15(4077-4081)
IEEE DOI 1512
Chan-Vese model BibRef

Mishra, A.[Akshaya], Eichel, J.A.[Justin A.], Abbott, T.[Tyler],
DREM: Decoupled region energy model for image segmentation,
ICIP15(3354-3357)
IEEE DOI 1512
Segmentation BibRef

Albalooshi, F.A.[Fatema A.], Asari, V.K.[Vijayan K.],
A self-organizing lattice Boltzmann active contour (SOLBAC) approach for fast and robust object region segmentation,
ICIP15(1329-1333)
IEEE DOI 1512
Active contour model BibRef

Uijlings, J.R.R., Ferrari, V.,
Situational object boundary detection,
CVPR15(4712-4721)
IEEE DOI 1510
Specify class then get boundary. BibRef

Yang, Y.Y.[Yun-Yun], Zhao, Y.[Yi], Wu, B.Y.[Bo-Ying], Wang, H.P.[Hong-Peng],
A note on convex image segmentation model based on local and global intensity fitting energy,
Southwest14(149-152)
IEEE DOI 1406
convex programming BibRef

Yang, Y.Y.[Yun-Yun], Zhao, Y.[Yi],
Efficient active contour model based on Vese-Chan model and split bregman method,
VCIP13(1-6)
IEEE DOI 1402
image colour analysis BibRef

Park, S.U.[Se Un], Wei, D.[Dennis], de Graef, M.[Marc], Shah, M.[Megna], Simmons, J.[Jeff], Hero, A.O.[Alfred O.],
EBSD image segmentation using a physics-based forward model,
ICIP13(3780-3784)
IEEE DOI 1402
Dictionary Learning BibRef

Zhou, L.[Lei], Qiao, Y.[Yu], Zhou, L.[Lei], Yang, J.[Jie], Gao, Y.[Yonghui],
An active contour model based on multiple boundary measures,
ICIP13(524-528)
IEEE DOI 1402
Active contours BibRef

Le, Y.H.[Yen H.], Kurkure, U.[Uday], Kakadiaris, I.A.[Ioannis A.],
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions,
CVPR13(1878-1885)
IEEE DOI 1309
ASM; PDM; ensemble BibRef

Zhou, X.W.[Xiao-Wei], Huang, X.J.[Xiao-Jie], Duncan, J.S.[James S.], Yu, W.C.[Wei-Chuan],
Active Contours with Group Similarity,
CVPR13(2969-2976)
IEEE DOI 1309
active contours; low-rank; segmentation BibRef

Liao, W.[Wei], Wörz, S.[Stefan], Rohr, K.[Karl],
Globally Minimal Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagation,
ACCV12(II:25-37).
Springer DOI 1304
BibRef

Kramarev, V.[Vladislav], Demetz, O.[Oliver], Schroers, C.[Christopher], Weickert, J.[Joachim],
Cross Anisotropic Cost Volume Filtering for Segmentation,
ACCV12(I:803-814).
Springer DOI 1304
BibRef

Li, T.[Tao], Krupa, A.[Alexandre], Collewet, C.[Christophe],
A robust parametric active contour based on fourier descriptors,
ICIP11(1037-1040).
IEEE DOI 1201
BibRef

Gawish, A.[Ahmed], Fieguth, P.W.[Paul W.],
External forces for active contours using the undecimated wavelet transform,
ICIP15(1453-1457)
IEEE DOI 1512
Active contours; undecimated wavelet transform BibRef

Gawish, A.[Ahmed], Fieguth, P.W.[Paul W.], Marschall, S.[Sebastian], Bizheva, K.[Kostadinka],
Undecimated hierarchical active contours for oct image segmentation,
ICIP14(882-886)
IEEE DOI 1502
Active contours BibRef

Kumar, A.[Abhishek], Wong, A.[Alexander], Fieguth, P.W.[Paul W.], Clausi, D.A.[David A.],
Multi-scale tensor vector field active contour,
ICIP12(2557-2560).
IEEE DOI 1302
BibRef

Kumar, A.[Abhishek], Wong, A.[Alexander], Mishra, A.K.[Akshaya K.], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
Tensor vector field based active contours,
ICIP11(2833-2836).
IEEE DOI 1201
BibRef

Wang, Z.Q.A.[Zhi Qi-Ang], Yan, Z.Z.[Zhuang-Zhi], Chen, G.[George],
Lattice Boltzmann Method of Active Contour for Image Segmentation,
ICIG11(338-343).
IEEE DOI 1109
BibRef

Sun, L.J.[Lin-Jia], Liang, X.H.[Xiao-Hui],
Integrating Boundary Cue with Superpixel for Image Segmentation,
ICIG11(33-38).
IEEE DOI 1109
BibRef

Yangel, B.[Boris], Vetrov, D.[Dmitry],
Image Segmentation with a Shape Prior Based on Simplified Skeleton,
EMMCVPR11(247-260).
Springer DOI 1107
BibRef

Hsu, R.C.[Roy Chaoming], Chan, D.Y.[Din-Yuen], Lai, W.C.[Wei-Chieh], Liu, C.T.[Cheng-Ting],
An improved automatic initial snaxel selection with corner tracing for object contour extraction in medical image,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Hsu, R.C.[Roy Chaoming], Chan, D.Y.[Din-Yuen], Kao, P.W.[Ping-Wen], Liu, C.T.[Cheng-Ting],
An automatic initial snaxel selection method in active contour model for contour extraction,
ICIP10(3017-3020).
IEEE DOI 1009
BibRef

Hsu, R.C.[Roy Chaoming], Kao, P.W.[Ping-Wen], Lai, W.J.[Wei-Jie], Liu, C.T.[Cheng-Ting],
An initial edge point selection and segmental contour following for object contour extraction,
ICARCV10(1632-1637).
IEEE DOI 1109
BibRef

Meyer, F.[Fernand], Stawiaski, J.[Jean],
A Stochastic Evaluation of the Contour Strength,
DAGM10(513-522).
Springer DOI 1009
BibRef

Zhang, S.X.[Shi-Xue], Wu, Y.H.[Yuan-Hao], Zhao, J.Y.[Jin-Yu],
Optimal multiresolution dynamic models generation based on triangle importance,
IASP10(630-635).
IEEE DOI 1004
BibRef

Collewet, C.[Christophe],
Polar snakes: A fast and robust parametric active contour model,
ICIP09(3013-3016).
IEEE DOI 0911
BibRef

Zhou, B.[Bin], Mu, C.L.[Chun-Lai], Yang, X.L.[Xiao-Lin],
Image Segmentation with a p-Laplace Equation Model,
CISP09(1-5).
IEEE DOI 0910
BibRef

Zach, C.[Christopher], Shan, L.[Liang], Niethammer, M.[Marc],
Globally Optimal Finsler Active Contours,
DAGM09(552-561).
Springer DOI 0909
BibRef

Eirola, T.[Timo], Lassila, T.[Toni],
Optimization of Convex Shapes: An Approach to Crystal Shape Identification,
SSVM09(660-671).
Springer DOI 0906
BibRef

Chen, C.C.[Chia-Chih], Aggarwal, J.K.,
Recognition of box-like objects by fusing cues of shape and edges,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Krumnikl, M.[Michal], Sojka, E.[Eduard], Gaura, J.[Jan],
A New Level-Set Based Algorithm for Bimodal Depth Segmentation,
ACIVS12(225-236).
Springer DOI 1209
BibRef

Gaura, J.[Jan], Sojka, E.[Eduard],
Resistance-Geodesic Distance and Its Use in Image Processing and Segmentation,
ISVC14(I: 238-249).
Springer DOI 1501
BibRef
Earlier: A2, A1:
A Modification of Diffusion Distance for Clustering and Image Segmentation,
ACIVS13(480-491).
Springer DOI 1311
BibRef

Gaura, J.[Jan], Sojka, E.[Eduard], Krumnikl, M.[Michal],
Image Segmentation Based on k-Means Clustering and Energy-Transfer Proximity,
ISVC11(II: 567-577).
Springer DOI 1109
BibRef
Earlier:
Image Segmentation Based on Electrical Proximity in a Resistor-Capacitor Network,
ACIVS11(216-227).
Springer DOI 1108
BibRef

Sojka, E.[Eduard], Gaura, J.[Jan], Krumnikl, M.[Michal],
Active Contours without Edges and with Simple Shape Priors,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Kamandar, M.[Mehdi], Seyedin, S.A.[Seyed Alireza],
Procrustes-based shape prior for parametric active contours,
ICMV07(135-140).
IEEE DOI 0712
BibRef

Lu, S.P.[Shao-Pei], Wang, Y.Q.[Yuan-Quan],
Gradient Vector Flow over Manifold for Active Contours,
ACCV09(I: 147-156).
Springer DOI 0909
BibRef

Jia, X.[Xiao], Wang, Y.Q.[Yuan-Quan],
An Edge Preserving Gradient Vector Flow for Active Contours,
CISP09(1-4).
IEEE DOI 0910
BibRef

Li, K.[Kun], Wang, Y.Q.[Yuan-Quan],
Oriented Smoothness Aided Harmonic Gradient Vector Flow for Active Contours,
CISP09(1-5).
IEEE DOI 0910
BibRef

Saha, S.K.[Sanjoy Kumar], Das, A.K.[Amit Kumar], Chanda, B.[Bhabatosh],
An Automatic Image Segmentation Technique Based on Pseudo-convex Hull,
ICCVGIP06(70-81).
Springer DOI 0612
BibRef

Shen, H.[Hong], Shi, Y.G.[Yong-Gang], Peng, Z.G.[Zhi-Gang],
Applying Prior Knowledge in the Segmentation of 3D Complex Anatomic Structures,
CVBIA05(189-199).
Springer DOI 0601
BibRef

El-Melegy, M.T.[Moumen T.], Al-Ashwal, N.H.[Nagi H.], Farag, A.A.[Aly A.],
Variational-Based Method to Extract Parametric Shapes from Images,
ICCV05(II: 1786-1791).
IEEE DOI 0510
Segment objects based on given parametric shape. BibRef

Tolliver, D.A.[David A.], Miller, G.L.[Gary L.],
Graph Partitioning by Spectral Rounding: Applications in Image Segmentation and Clustering,
CVPR06(I: 1053-1060).
IEEE DOI 0606
BibRef

Tolliver, D.A.[David A.], Miller, G.L.[Gary L.], Collins, R.T.[Robert T.],
Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors,
CVPR05(II: 92-98).
IEEE DOI 0507
Generate foreground regions consistent with shapes. BibRef

Tolliver, D.A.[David A.],
Spectral Rounding and Image Segmentation,
CMU-RI-TR-06-44, August, 2006. BibRef 0608 Ph.D.Thesis.
WWW Link. BibRef

Chen, D.T.[David T.], Morse, B.S.[Bryan S.], Lowekamp, B.C.[Bradley C.], Yoo, T.S.[Terry S.],
Hierarchically Partitioned Implicit Surfaces for Interpolating Large Point Set Models,
GMP06(553-562).
Springer DOI 0607
BibRef

Morse, B.S.[Bryan S.], Liu, W.M.[Wei-Ming], Yoo, T.S.[Terry S.], Subramanian, K.[Kalpathi],
Active Contours Using a Constraint-Based Implicit Representation,
CVPR05(I: 285-292).
IEEE DOI 0507
BibRef

Xie, J.[Jun], Tsui, H.T.[Hung-Tat], Lain, W.M.[Wai Man],
Shape prior based segmentation for organ deformation correction,
ICIP04(IV: 2575-2578).
IEEE DOI 0505
BibRef

Yuan, D., Lu, S.W.[Si-Wei],
Motion detection and tracking system based on frame analysis and simulated static electric field (SSEF) snake,
ICARCV04(III: 2308-2313).
IEEE DOI 0412
BibRef
Earlier:
Simulated static electric field (SSEF) snake for deformable models,
ICPR02(I: 83-86).
IEEE DOI 0211
BibRef

Mohanna, F., Mokhtarian, F.,
Improved Curvature Estimation for Accurate Localisation of Active Contours,
ICIP01(II: 781-784).
IEEE DOI 0108
BibRef

Delingette, H.,
On smoothness measures of active contours and surfaces,
LevelSet01(xx-yy). 0106
BibRef

Voss, K., Suesse, H., Neubauer, R.,
Moment-based invariant fitting of elliptical segments,
CAIP95(562-567).
Springer DOI 9509
BibRef

Deng, K.Q.A.[Ke-Qi-Ang], Wilson, J.N.[Joseph N.],
Contour Estimation Using Global Shape Constraints and Local Forces,
SPIE(1570), 1991, pp. 227-233. BibRef 9100

Jiang, T., Merickel, M.B.,
Boundary estimation in complex imagery using Fourier descriptors,
ICPR88(I: 187-190).
IEEE DOI 8811
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Segmentation, Graph Cuts .


Last update:Sep 18, 2017 at 11:34:11