Keith Price Bibliography Snakes, Algorithms for Computation

8.7.1.7 Snakes, Algorithms for Computation

Chapter Contents (Back)
Deformable Curves. Snakes. Active Contours. Curve Evolution.

Mishra, A.[Ajay], Aloimonos, Y.[Yiannis], Fah, C.L.[Cheong Loong],
Code: Active Segmentation With Fixation,
Online2010. Code, Segmentation. Code, Snakes.
HTML Version. Code for ICCV 2009 paper. See also Active Segmentation with Fixation. BibRef 1000

Amini, A.A., Weymouth, T.E., and Jain, R.C.,
Using Dynamic Programming for Solving Variational Problems in Vision,
PAMI(12), No. 9, September 1990, pp. 855-867.
IEEE Abstract.
IEEE DOI Link Dynamic Programming. Variational Problems. Discussed as a general technique for problems such as surface fitting and the like. Here it is applied to contours. BibRef 9009

Amini, A.A., Tehrani, S., and Weymouth, T.E.,
Using Dynamic Programming for Minimizing the Energy of Active Contours in the Presence of Hard Constraints,
ICCV88(95-99).
IEEE Abstract. An early related paper to the above journal paper. BibRef 8800

Williams, D.J.[Donna J.], and Shah, M.,
A Fast Algorithm for Active Contours and Curvature Estimation,
CVGIP(55), No. 1, January 1992, pp. 14-26.
WWW Version. BibRef 9201
Earlier:
A Fast Algorithm for Active Contours,
ICCV90(592-595).
IEEE DOI Link An analysis of Kass and Amini and a proposed implementation that is faster, O(nm), that dynamic programming approaches. BibRef

Goshtasby, A., O'Neill, W.D.,
Curve-Fitting by a Sum of Gaussians,
GMIP(56), No. 4, July 1994, pp. 281-288. BibRef 9407

Goshtasby, A., Shyu, H.L.,
Edge-Detection by Curve-Fitting,
IVC(13), No. 3, April 1995, pp. 169-177.
WWW Version. BibRef 9504

Sander, P.T.,
Estimating Curvature by Kalman Filters,
VF91(469-477). Estimating the curvature of a collection of points (not really snakes since the grouping is not given). BibRef 9100

Chiou, G.I., Hwang, J.N.[Jenq-Neng],
A neural network-based stochastic active contour model (NNS-SNAKE) for contour finding of distinct features,
IP(4), No. 10, October 1995, pp. 1407-1416.
IEEE DOI Link 0402
BibRef

Kimmel, R., Kiryati, N., Bruckstein, A.M.,
Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method,
IJCV(24), No. 1, August 1997, pp. 37-55.
WWW Version. 9709
See also Level Set Methods: Evolving Interfaces in Geometry, Fluid Mechanics, Computer Vision and Materials Science. See also Geometric Level Set Methods in Imaging, Vision, and Graphics. BibRef

Kimmel, R.[Ron],
Numerical Geometry of Images: Theory, Algorithms, and Applications,
Springer2005. ISBN: 0-387-95562-3 To purchase this book look here BibRef 0500

Bruckstein, A.M.,
Analyzing and synthesizing images by evolving curves,
ICIP94(I: 11-15).
IEEE DOI Link 9411
BibRef

Cohen, L.D.[Laurent D.], Kimmel, R.[Ron],
Global Minimum for Active Contour Models: A Minimal Path Approach,
IJCV(24), No. 1, August 1997, pp. 57-78.
WWW Version. 9709
BibRef
And:
Global Minimum for Active Contour Models: A Minimum Path Approach,
CVPR96(666-673).
IEEE Abstract.
IEEE DOI Link
Postscript Version. BibRef

Cohen, L.D.[Laurent D.], Kimmel, R.[Ron],
Edge Integration Using Minimal Geodesics,
TRCeremade, Universite Paris Dauphine, January 1995.
Postscript Version. BibRef 9501
And: TR9612, Ceremade, Universite Paris Dauphine.
Postscript Version. BibRef

Cohen, L.D.[Laurent D.], Kimmel, R.[Ron],
Fast Marching the Global Minimum of Active Contours,
ICIP96(I: 473-476).
IEEE DOI Link BibRef 9600

Eviatar, H., Somorjai, R.L.,
A Fast, Simple Active Contour Algorithm for Biomedical Images,
PRL(17), No. 9, August 1 1996, pp. 969-974. 9609
BibRef

Gunn, S.R.[Steve R.], Nixon, M.S.[Mark S.],
Robust Snake Implementation: A Dual Active Contour,
PAMI(19), No. 1, January 1997, pp. 63-68.
IEEE Abstract.
IEEE DOI Link 9702
BibRef
Earlier:
Improving snake performance via a dual active contour,
CAIP95(600-605).
Springer DOI Link 9509
BibRef
Earlier:
A Model Based Dual Active Contour,
BMVC94(xx-yy).
PDF Version. 9409
Use one contour expanding from inside, and a second contracting from outside. They are interlinked to avoid weak local minima. BibRef

Gunn, S.R.[Steve R.], Nixon, M.S.[Mark S.],
Global and Local Active Contours for Head Boundary Extraction,
IJCV(30), No. 1, October 1998, pp. 43-54.
WWW Version. BibRef 9810
Earlier:
Snake Head Boundary Extraction Using Global and Local Energy Minimisation,
ICPR96(II: 581-585).
IEEE DOI Link 9608
(Univ. of Southampton, UK) BibRef

Mahmoodi, S.[Sasan], Gunn, S.R.[Steve R.],
Snake based unsupervised texture segmentation using Gaussian Markov Random Field Models,
ICIP11(3353-3356).
IEEE DOI Link 1201
BibRef

Chandran, S.[Sharat], Potty, A.K.,
Energy Minimization of Contours Using Boundary Conditions,
PAMI(20), No. 5, May 1998, pp. 546-549.
IEEE Abstract.
IEEE DOI Link 9806
A dynamic programming solution for snakes designed to avoid local minima. BibRef

Wong, Y.Y., Yuen, P.C., Tong, C.S.,
Contour Length Terminating Criterion for Snake Model,
PR(31), No. 5, May 1998, pp. 597-606.
WWW Version. 9805
BibRef

Ma, T., Tagare, H.D.,
Consistency and Stability of Active Contours with Euclidean and Non-Euclidean Arc Lengths,
IP(8), No. 11, November 1999, pp. 1549-1559.
IEEE DOI Link 9911
BibRef

Chen, Y.M.[Yun-Mei], Tagare, H.D.[Hemant D.], Thiruvenkadam, S.R.[Sheshadri R.], Huang, F.[Feng], Wilson, D.[David], Gopinath, K.S.[Kaundinya S.], Briggs, R.W.[Richard W.], Geiser, E.A.[Edward A.],
Using Prior Shapes in Geometric Active Contours in a Variational Framework,
IJCV(50), No. 3, December 2002, pp. 315-328.
WWW Version. 0211
BibRef

Chen, Y., Thiruvenkadam, S.R.[Sheshadri R.], Tagare, H.D., Huang, F.[Feng], Wilson, D.,
On the Incorporation of Shape Priors into Geometric Active Contours,
LevelSet01(xx-yy). 0106
BibRef

Thiruvenkadam, S.R.[Sheshadri R.], Chan, T.F.[Tony F.], Hong, B.W.[Byung-Woo],
Segmentation Under Occlusions Using Selective Shape Prior,
SIIMS(1), No. 1, 2008, pp. 115-142. image segmentation; variational methods; level set methods
WWW Version.
WWW Version. BibRef 0800
Earlier: SSVM07(191-202).
Springer DOI Link 0705
BibRef

Chen, Y.M.[Yun-Mei], Huang, F.[Feng], Tagare, H.D.[Hemant D.], Rao, M.[Murali],
A Coupled Minimization Problem for Medical Image Segmentation with Priors,
IJCV(71), No. 3, March 2007, pp. 259-272.
Springer DOI Link 0001
BibRef

Yue, Y.[Yong], Tagare, H.D.[Hemant D.],
Learning to segment using machine-learned penalized logistic models,
MMBIA09(58-65).
IEEE DOI Link 0906
BibRef

Chen, Y.M.[Yun-Mei], Huang, F.[Feng], Tagare, H.D., Rao, M.[Murali], Wilson, D., Geiser, E.A.,
Using prior shape and intensity profile in medical image segmentation,
ICCV03(1117-1124).
IEEE DOI Link 0311
BibRef

Aubert, G., and Vese, L.A.,
A variational method in image recovery,
NumAnal(34), No. 5, 1997, pp. 1948-1979. BibRef 9700

Chan, T.F.[Tony F.], Sandberg, B.Y.[B. Yezrielev], Vese, L.A.[Luminita A.],
Active Contours without Edges for Vector-Valued Images,
JVCIR(11), No. 2, June 2000, pp. 130-141. 0008
BibRef

Sandberg, B.Y.[Berta Yezrielev], Chan, T.F.[Tony F.],
A logic framework for active contours on multi-channel images,
JVCIR(16), No. 3, June 2005, pp. 333-358.
WWW Version. 0711
Multi-channel; Segmentation; Logic operations; Active contours BibRef

Sandberg, B.Y.[B. Yezrielev], Kang, S.H., Chan, T.F.[Tony F.],
Unsupervised Multiphase Segmentation: A Phase Balancing Model,
IP(19), No. 1, January 2010, pp. 119-130.
IEEE DOI Link 1001
BibRef

Chan, T.F.[Tony F.], Vese, L.A.[Luminita A.],
Active contours without edges,
IP(10), No. 2, February 2001, pp. 266-277.
IEEE DOI Link 0001
BibRef
Earlier:
An active contour model without edges,
ScaleSpace99(141-151). See also Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model, A. BibRef

Wu, H.H., Liu, J.C., Chui, C.,
A Wavelet-Frame Based Image Force Model for Active Contouring Algorithms,
IP(9), No. 11, November 2000, pp. 1983-1988.
IEEE DOI Link 0011
BibRef

Liu, J.C., Hwang, W.L., Chen, M.S., Tsai, J.W., Lin, C.H.,
Wavelet-based Active Contour Model for Object Tracking,
ICIP01(III: 206-209).
IEEE Abstract. 0108
BibRef

Ray, N.[Nilanjan], Chanda, B.[Bhabatosh], Das, J.[Jyotirmay],
A fast and flexible multiresolution snake with a definite termination criterion,
PR(34), No. 7, July 2001, pp. 1483-1490.
WWW Version. 0105
BibRef

Han, C.[Chao], Hatsukami, T.S., Hwang, J.N.[Jenq-Neng], Yuan, C.[Chun],
A fast minimal path active contour model,
IP(10), No. 6, June 2001, pp. 865-873.
IEEE DOI Link 0106
BibRef

Castrillón, M.[Marco], Valdés, A.[Antonio],
Projective Evolution of Plane Curves,
IJCV(42), No. 3, May-June 2001, pp. 191-201.
WWW Version. 0108
Projective invariant evolution operators have singularities. BibRef

Delingette, H., Montagnat, J.,
Shape and Topology Constraints on Parametric Active Contours,
CVIU(83), No. 2, August 2001, pp. 140-171.
WWW Version. 0109
BibRef
Earlier:
New Algorithms for Controlling Active Contours Shape and Topology,
ECCV00(II: 381-395).
WWW Version. 0003
Combine advantages of early Lagrangian formulation with the lat Eulerian framework for parametric active contours. Control of contour topology (create or fuse components on closed or open contours), geometry (contour resolution, number of verticies) and deformation (by vertex spacing and smoothness). BibRef

Park, J.[Jaesang], Keller, J.M.[James M.],
Snakes on the Watershed,
PAMI(23), No. 10, October 2001, pp. 1201-1205.
IEEE Abstract.
IEEE DOI Link 0110
Combine watershed approach and snakes in a two-step snake algorithm. BibRef

Kulkarni, S.[Subhash], Chatterji, B.N.,
Accurate shape modeling with front propagation using adaptive level sets,
PRL(23), No. 13, November 2002, pp. 1559-1568.
Elsevier DOI Link 0206
steering function derived from histogram features. BibRef

Ghebreab, S., Smeulders, A.W.M., Pfluger, P.R.,
Necklaces: Inhomogeneous and Point-Enhanced Deformable Models,
CVIU(86), No. 2, May 2002, pp. 96-117.
WWW Version. 0301
BibRef

Ghebreab, S.[Sennay], Smeulders, A.W.M.[Arnold W.M.],
Strings: Variational deformable models of multivariate continuous boundary features,
PAMI(25), No. 11, November 2003, pp. 1399-1410.
IEEE Abstract. 0311
A variational deformable model learnd from a collection of examples rather than analytical knowledge. BibRef

Keshet, R.[Renato], Heijmans, H.J.A.M.[Henk J.A.M.],
Adjunctions in Pyramids, Curve Evolution and Scale-Spaces,
IJCV(52), No. 2-3, May-June 2003, pp. 139-151.
WWW Version. 0301
BibRef
Earlier:
Adjunctions in pyramids and curve evolution,
ScaleSpace01(xx-yy). 0106
BibRef

Bredno, J.[Jorg], Lehmann, T.M.[Thomas M.], Spitzer, K.[Klaus],
A General Discrete Contour Model in Two, Three, and Four Dimensions for Topology-Adaptive Multichannel Segmentation,
PAMI(25), No. 5, May 2003, pp. 550-563.
IEEE Abstract. 0304
Representation using simplex meshes. BibRef

Srinark, T.[Thitiwan], Kambhamettu, C.[Chandra],
A framework for multiple snakes and its applications,
PR(39), No. 9, September 2006, pp. 1555-1565.
WWW Version. 0606
BibRef
Earlier:
A Framework for Multiple Snakes,
CVPR01(II:202-209).
IEEE Abstract. 0110
Multiple snakes; Multiple-object segmentation. Group energy to handle energy across multiple snakes. BibRef

Lam, S.Y., Tong, C.S.,
Enhanced Snake algorithm by embedded domain transformation,
PR(39), No. 9, September 2006, pp. 1566-1574.
WWW Version. 0606
Domain transformation; Conformal mapping; Robust contour detection BibRef

Seghers, D., Loeckx, D.[Dirk], Maes, F.[Frederik], Vandermeulen, D., Suetens, P.[Paul],
Minimal Shape and Intensity Cost Path Segmentation,
MedImg(26), No. 8, August 2007, pp. 1115-1129.
IEEE DOI Link 0709
Trained like active shape models, but simultaneous solution. BibRef

Keustermans, J.[Johannes], Smeets, D.[Dirk], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models,
MLMI11(249-256).
Springer DOI Link 1109
BibRef

Keustermans, J.[Johannes], Mollemans, W.[Wouter], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Automated Cephalometric Landmark Identification Using Shape and Local Appearance Models,
ICPR10(2464-2467).
IEEE DOI Link 1008
BibRef

Keustermans, J.[Johannes], Seghers, D.[Dieter], Mollemans, W.[Wouter], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Image Segmentation Using Graph Representations and Local Appearance and Shape Models,
GbRPR09(353-365).
Springer DOI Link 0905
BibRef

Maalouf, A.[Aldo], Carre, P.[Philippe], Augereau, B.[Bertrand], Fernandez-Maloigne, C.[Christine],
Cooperation of the partial differential equation methods and the wavelet transform for the segmentation of multivalued images,
SP:IC(23), No. 1, January 2008, pp. 14-30.
WWW Version. 0801
BibRef
Earlier:
Foveal Wavelet-Based Color Active Contour,
ICIP07(I: 245-248).
IEEE DOI Link 0709
Partial differential equations; Wavelet; Segmentation; Color images BibRef

Thevenaz, P.[Philippe], Unser, M.,
Snakuscules,
IP(17), No. 4, April 2008, pp. 585-593.
IEEE DOI Link 0803
BibRef
Earlier:
The Snakuscule,
ICIP06(1633-1636).
IEEE DOI Link 0610
BibRef

Thevenaz, P.[Philippe], Delgado-Gonzalo, R.[Ricard], Unser, M.[Michael],
The Ovuscule,
PAMI(33), No. 2, February 2011, pp. 382-393.
IEEE DOI Link 1101
Snake in shape of ellipse. BibRef

Charmi, M.A., Derrode, S., Ghorbel, F.,
Fourier-based geometric shape prior for snakes,
PRL(29), No. 7, 1 May 2008, pp. 897-904.
WWW Version. 0804
Snakes; Shape prior; Fourier transform; Invariant; Completeness; Object tracking BibRef

Corso, J.J.[Jason J.], Hager, G.D.[Gregory D.],
Image description with features that summarize,
CVIU(113), No. 4, April 2009, pp. 446-458.
Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
Coherent Regions for Concise and Stable Image Description,
CVPR05(II: 184-190).
IEEE DOI Link 0507
Image matching; Segmentation; Interest point operator; Feature space; Feature detector Coherent regions are best for matching. BibRef

Corso, J.J., Dewan, M., Hager, G.D.,
Image segmentation through energy minimization based subspace fusion,
ICPR04(II: 120-123).
IEEE DOI Link 0409
BibRef

Chen, A.Y.C.[Albert Y. C.], Corso, J.J.[Jason J.], Wang, L.[Le],
HOPS: Efficient region labeling using Higher Order Proxy Neighborhoods,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Duan, Q.[Qi], Angelini, E.D.[Elsa D.], Laine, A.F.[Andrew F.],
Surface Function Actives,
JVCIR(20), No. 7, October 2009, pp. 478-490,.
Elsevier DOI Link
WWW Version. 0909
Surface Function Actives; Image segmentation; Deformable model; Real-time segmentation; Variational approach; Interface representation Reduce dimensionality of computation to solve deformable models. BibRef

Rumpf, M.[Martin], Wirth, B.[Benedikt],
A Nonlinear Elastic Shape Averaging Approach,
SIIMS(2), No. 3, 2009, pp. 800-833. shape averaging; nonrigid registration; nonlinear elasticity; MumfordShah approach; phase field approximation; finite element discretization
WWW Version.
WWW Version. BibRef 0900
Earlier:
An Elasticity Approach to Principal Modes of Shape Variation,
SSVM09(709-720).
Springer DOI Link 0906
BibRef

Rumpf, M.[Martin], Wirth, B.[Benedikt],
An Elasticity-Based Covariance Analysis of Shapes,
IJCV(92), No. 3, May 2011, pp. 281-295.
WWW Version. 1103
BibRef

Wirth, B.[Benedikt], Bar, L.[Leah], Rumpf, M.[Martin], Sapiro, G.[Guillermo],
A Continuum Mechanical Approach to Geodesics in Shape Space,
IJCV(93), No. 3, July 2011, pp. 293-318.
WWW Version. 1104
BibRef
Earlier:
Geodesics in Shape Space via Variational Time Discretization,
EMMCVPR09(288-302).
Springer DOI Link 0908
BibRef

Berkels, B.[Benjamin], Linkmann, G.[Gina], Rumpf, M.[Martin],
An SL(2) Invariant Shape Median,
JMIV(37), No. 2, June 2010, pp. xx-yy.
Springer DOI Link 1003
Median of shapes, to get an average shape. BibRef

Binczak, S., Sliwa, T., Jacquir, S., Bilbault, J.M.,
Reaction-diffusion network for geometric multiscale high speed image processing,
IVC(28), No. 6, June 2010, pp. 914-926.
Elsevier DOI Link
WWW Version. 1003
Image analysis; Multiscale geometry; Nonlinear signal processing Implementing active contour computations. BibRef

Mishra, A.K.[Akshaya K.], Fieguth, P.W.[Paul W.], Clausi, D.A.[David A.],
Decoupled Active Contour (DAC) for Boundary Detection,
PAMI(33), No. 2, February 2011, pp. 310-324.
IEEE DOI Link 1101
BibRef
Earlier:
Robust snake convergence based on dynamic programming,
ICIP08(1092-1095).
IEEE DOI Link 0810
BibRef
And:
Accurate Boundary Localization using Dynamic Programming on Snakes,
CRV08(261-268).
IEEE DOI Link 0805
decouple the internal/external energy terms. See also Decoupled Active Surface for Volumetric Image Segmentation. BibRef

Mishra, A.K.[Akshaya K.], Wong, A.[Alexander], Clausi, D.A.[David A.], Fieguth, P.W.[Paul W.],
A Bayesian Information Flow Approach to Image Segmentation,
CRV10(301-308).
IEEE DOI Link 1005
See also Decoupled Active Surface for Volumetric Image Segmentation. See also Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach. BibRef

Wong, A.,
A Bayesian Theoretic Approach to Multiscale Complex-Phase-Order Representations,
IP(21), No. 1, January 2012, pp. 28-40.
IEEE DOI Link 1112
BibRef

An, Z.Z.[Zhen-Zhou], Shi, X.L.[Xin-Ling], Zhang, J.H.[Jun-Hua], Li, B.L.[Bao-Lei], Miao, A.M.[Ai-Min],
A family Particle Swarm Optimization based on the family tree,
IASP11(46-51).
IEEE DOI Link 1112
BibRef

Alvarez, L.[Luis], Baumela, L.[Luis], Henriquez, P.[Pedro], Marquez-Neila, P.[Pablo],
Morphological snakes,
CVPR10(2197-2202).
IEEE DOI Link 1006
Morphological operations for snake model. BibRef