11.8.3 Deformable Models for Segmentation

map3d: Interactive scientific visualization tool for bioengineering data,
2006. Code, 3-D Visualization.
HTML Version. Scientific visualization application written to display and edit complex, three-dimensional geometric models and scalar, time-based data associated with those models.

Seg3D: Volumetric Image Segmentation and Visualization,
2006. Code, 3-D Segmentation.
HTML Version. Interactive segmentation tool that mixes powerful ITK and NRRD based volumetric image analysis and segmentation tools, interactive painting, and advanced volume rendering.

Delingette, H., Hebert, M., Ikeuchi, K.,
Shape Representation and Image Segmentation Using Deformable Surfaces,
IVC(10), No. 3, April 1992, pp. 132-144.
WWW Version. BibRef 9204
And: CVPR91(467-472).
IEEE Abstract. IEEE Top Reference. BibRef
And:
Deformable Surfaces: A Free-Form Shape Representation,
SPIE(1570), 1991, pp. 21-30. BibRef

Delingette, H., Hebert, M., Ikeuchi, K.,
Energy Functions for Regularization Algorithms,
SPIE(1570), 1991, pp. 104-115. BibRef 9100

Cohen, I., Cohen, L.D., and Ayache, N.J.,
Using Deformable Surfaces to Segment 3-D Images and Infer Differential Structures,
CVGIP(56), No. 2, September 1992, pp. 242-263.
WWW Version. BibRef 9209
Earlier: ECCV92(648-652).
WWW Version. BibRef
Earlier:
Introducing New Deformable Surfaces to Segment 3D Images,
CVPR91(738-739).
IEEE Abstract. IEEE Top Reference. BibRef
And: TRInria 1403, May 1991. Fit a 3-D surface to range data using a discrete basis of continuous functions. This leads to a segmented description of the surface. BibRef

Cohen, I.[Isaac], Ayache, N.[Nicholas], and Sulger, P.[Patrick],
Tracking Points on Deformable Objects Using Curvature Information,
ECCV92(458-466).
WWW Version. BibRef 9200
And:
Tracking Points on Deformables Objects,
INRIATR 1595, February 1992. BibRef

Cohen, L.D.[Laurent D.],
Chemins Minimaux et Modeles Deformables en Analyse d'Images,
Traitement du Signal(20), No 3, December 2003, pp. 225-241.
PDF Version. BibRef 0312

Cohen, L.D.[Laurent D.],
Methodes Variationnelles pour le Traitement d'images,
Memoire d'Habilitationa diriger des recherches. Universite Paris Dauphine, 1995. BibRef 9500

Gupta, A., and Bajcsy, R.,
Volumetric Segmentation of Range Images of 3D Objects Using Superquadric Models,
CVGIP(58), No. 3, November 1993, pp. 302-326.
WWW Version. BibRef 9311
Earlier:
Surface and Volumetric Segmentation of Range Images Using Biquadrics and Superquadrics,
ICPR92(I:158-162).
WWW Version. BibRef
And:
Integrated Approach for Surface and Volumetric Segmentation of Range Images Using Biquadrics and Superquadrics,
SPIE(1708), 1992, pp. 210-227. BibRef

Gupta, A.,
Surface and Volumetric Segmentation of Complex 3D Objects Using Parametric Shape Models,
Ph.D.Thesis, Computer and Information Science, 1991. BibRef 9100 UPennTR MS-CIS-91-45, Grasp Lab 128. BibRef

Leonardis, A., Gupta, A., Bajcsy, R.,
Segmentation of Range Images as the Search for Geometric Parametric Models,
IJCV(14), No. 3, April 1995, pp. 253-277. BibRef 9504
Earlier:
Segmentation as the Search for the Best Description of Images in Terms of Primitives,
ICCV90(121-125).
WWW Version. BibRef
And: UPennTR MS-CIS-90-30, GRASP LAB 215, May 1990. BibRef

Kumar, S., Han, S., Goldgof, D., Bowyer, K.W.,
On Recovering Hyperquadrics from Range Data,
PAMI(17), No. 11, November 1995, pp. 1079-1083.
IEEE Abstract. IEEE Top Reference.
WWW Version.
WWW Version. BibRef 9511

Kumar, S., Goldgof, D.,
Model Based Part Segmentation of Range Data: Hyperquadrics and Dividing Planes,
PBMCV95(SESSION 1). BibRef 9500
And:
A Robust Technique for the Estimation of the Deformable Hyperquadrics from Images,
ICPR94(A:74-78).
WWW Version. BibRef

Han, S., Goldgof, D.B., and Bowyer, K.W.,
Using Hyperquadrics for Shape Recovery from Range Data,
ICCV93(492-496).
WWW Version. BibRef 9300

Snell, J.W., Merickel, M.B., Ortega, J.M., Goble, J.C., Brookeman, J.R., Kassell, N.F.,
Model-Based Boundary Estimation of Complex Objects Using Hierarchical Active Surface Templates,
PR(28), No. 10, October 1995, pp. 1599-1609.
WWW Version. BibRef 9510

Nishida, H.,
A Structural Model of Shape Deformation,
PR(28), No. 10, October 1995, pp. 1611-1620.
WWW Version. For 2d: See also Structural Model of Curve Deformation by Discontinuous Transformations, A. BibRef 9510

DeCarlo, D.[Douglas], Metaxas, D.[Dimitri],
Blended Deformable Models,
PAMI(18), No. 4, April 1996, pp. 443-448.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9604 CVPR94(566-572).
IEEE Abstract. IEEE Top Reference. BibRef
And:
Adaptive Model Evolution Using Blending,
ICCV95(834-839).
WWW Version.
WWW Version. Description based on linear interpoloation of two parameterized shapes. Blend two separate shapes (cup handle and cup) for a better match. Handles more than genus 0 objects. 9605 BibRef

DeCarlo, D.[Douglas], Metaxas, D.[Dimitri],
Shape Evolution with Structural and Topological Changes Using Blending,
PAMI(20), No. 11, November 1998, pp. 1186-1205.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9811 BibRef

DeCarlo, D.[Douglas], Metaxas, D.[Dimitris],
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals,
PAMI(24), No. 6, June 2002, pp. 814-823.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0206 BibRef
Earlier:
Deformable Model-Based Shape and Motion Analysis from Images using Motion Residual Error,
ICCV98(113-119).
WWW Version. Shape of deformable model from optical flow. See also Optical Flow Constraints on Deformable Models with Applications to Face Tracking. BibRef

Saund, E.,
Representation and the Dimensions of Shape Deformation,
ICCV90(684-689).
WWW Version. BibRef 9000

Kita, Y.,
Elastic-Model Driven Analysis of Several Views of a Deformable Cylindrical Object,
PAMI(18), No. 12, December 1996, pp. 1150-1162.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9701 BibRef

Kita, Y.,
Model-Driven Contour Extraction for Physically Deformed Objects: Application to Analysis of Stomach X-Ray Images,
ICPR92(I:280-284).
WWW Version. BibRef 9200

Little, J.A., Hill, D.L.G., Hawkes, D.J.,
Deformations Incorporating Rigid Structures,
CVIU(66), No. 2, May 1997, pp. 223-232. 9705
WWW Version. BibRef
Earlier: MMBIA96(REGISTRATION II) BibRef

Dickinson, S.J., Metaxas, D.N., Pentland, A.P.,
The Role of Model-Based Segmentation in the Recovery of Volumetric Parts from Range Data,
PAMI(19), No. 3, March 1997, pp. 259-267.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704 Aspects. Segmentation and shape from range data. Constrain the fitting using model views (aspects). BibRef

Tek, H.[Huseyin], Kimia, B.B.[Benjamin B.],
Volumetric Segmentation of Medical Images by Three-Dimensional Bubbles,
CVIU(65), No. 2, February 1997, pp. 246-258. 9704
WWW Version. BibRef
Earlier: PBMCV95(SESSION 1) BibRef

Tek, H.[Huseyin], Kimia, B.B.[Benjamin B.],
Image Segmentation by Reaction-Diffusion Bubbles,
ICCV95(156-162).
WWW Version.
WWW Version. BibRef 9500
And:
Shock-Based Reaction-Diffusion Bubbles for Image Segmentation,
CVRMed95(XX-YY). Combine the two parameters to better fit objects. BibRef

Caselles, V.[Vincent], Kimmel, R.[Ron], Sapiro, G.[Guillermo], Sbert, C.[Catalina],
Minimal-Surfaces Based Object Segmentation,
PAMI(19), No. 4, April 1997, pp. 394-398.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9705 BibRef
And:
Three Dimensional Object Modeling via Minimal Surfaces,
ECCV96(I:97-106).
WWW Version. Start deformable surface outside the object, move it toward the object. BibRef
And:
Minimal Surfaces: A Three-Dimensional Segmentation Approach,
TRTechnion TR 973, June 1995. Deformable surface moving toward the object. BibRef

Rougon, N., Preteux, F.,
Directional Adaptive Deformable Models For Segmentation,
JEI(7), No. 1, January 1998, pp. 231-256. 9807 BibRef

Ruff, C.R., Hughes, S.W., Hawkes, D.J.,
Volume estimation from sparse planar images using deformable models,
IVC(17), No. 8, June 1999, pp. 559-565.
WWW Version. BibRef 9906
Earlier: BMVC97(xx-yy).
HTML Version. BibRef

Cheung, K.W.[Kwok-Wai], Yeung, D.Y.[Dit-Yan], Chin, R.T.[Roland T.],
On deformable models for visual pattern recognition,
PR(35), No. 7, July 2002, pp. 1507-1526.
WWW Version. 0204 BibRef

van Ginneken, B.[Bram], Frangi, A.F., Staal, J.J., ter Haar Romeny, B.M., Viergever, M.A.,
Active shape model segmentation with optimal features,
MedImg(21), No. 8, August 2002, pp. 924-933.
IEEE Top Reference. 0301 BibRef
Earlier:
A Non-Linear Gray-Level Appearance Model Improves Active Shape Model Segmentation,
MMBIA01(xx-yy). 0110 BibRef

Butakoff, C.[Costantine], Frangi, A.F.[Alejandro F.],
A Framework for Weighted Fusion of Multiple Statistical Models of Shape and Appearance,
PAMI(28), No. 11, November 2006, pp. 1847-1857.
WWW Version. 0609Eigenspace fusion method of several active shape and active appearance models. Facial Verification. Conclude: fusion is useful when the model needs to be updated online or when the original observations are absent. BibRef

Sukno, F.M.[Federico M.], Ordás, S.[Sebastián], Butakoff, C.[Constantine], Cruz, S.[Santiago], Frangi, A.F.[Alejandro F.],
Active Shape Models with Invariant Optimal Features: Application to Facial Analysis,
PAMI(29), No. 7, July 2007, pp. 1105-1117.
WWW Version. 0706 Facial Features. BibRef
Earlier:
Active Shape Models with Invariant Optimal Features (IOF-ASMs),
AVBPA05(365).
WWW Version. 0509Accurate segmentation of prominant features. See also Automatic Pose Correction for Local Feature-Based Face Authentication. BibRef

Jehan-Besson, S.[Stéphanie], Barlaud, M.[Michel], Aubert, G.[Gilles],
DREAM 2 S: Deformable Regions Driven by an Eulerian Accurate Minimization Method for Image and Video Segmentation,
IJCV(53), No. 1, June 2003, pp. 45-70.
WWW Version. 0304 BibRef
Earlier: ECCV02(III: 365 ff.).
HTML Version. 0205 See also Object-based Motion Method for Video Coding, An. See also Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation. See also Outer-Layer Based Tracking using Entropy as a Similarity Measure. BibRef

Roy, T.[Tristan], Debreuve, É.[Éric], Barlaud, M.[Michel], Aubert, G.[Gilles],
Segmentation of a Vector Field: Dominant Parameter and Shape Optimization,
JMIV(24), No. 2, March 2006, pp. 259-276.
WWW Version. 0605 BibRef

Yang, J., Staib, L.H., Duncan, J.S.,
Neighbor-Constrained Segmentation With Level Set Based 3-D Deformable Models,
MedImg(23), No. 8, August 2004, pp. 940-948.
IEEE Abstract. IEEE Top Reference. 0409 BibRef

Falcao, A.X., Bergo, F.P.G.,
Interactive Volume Segmentation With Differential Image Foresting Transforms,
MedImg(23), No. 9, September 2004, pp. 1100-1108.
IEEE Abstract. IEEE Top Reference. 0409 BibRef

Yanovsky, I.[Igor], Thompson, P.M.[Paul M.], Osher, S.J.[Stanley J.], Vese, L.A.[Luminita A.], Leow, A.D.[Alex D.],
Multiphase Segmentation of Deformation using Logarithmic Priors,
Fusion07(1-6).
WWW Version. 0706 BibRef

Kimura, A., Takama, Y., Yamazoe, Y.[Yu], Tanaka, S., Tanaka, H.T.,
Parallel volume segmentation with tetrahedral adaptive grid,
ICPR04(II: 281-286).
WWW Version. 0409 BibRef

van Ginneken, B., Loog, M.,
Pixel Position Regression: Application to Medical Image Segmentation,
ICPR04(III: 718-721).
WWW Version. 0409 BibRef

Bowden, R., Mitchell, T.A., Sahardi, M.,
Real-time Dynamic Deformable Meshes for Volumetric Segmentation and Visualisation,
BMVC97(xx-yy).
HTML Version. 0209 BibRef

Dickens, M.M., Gleason, S.S., Sari-Sarraf, H.,
Volumetric segmentation via 3D active shape models,
Southwest02(248-252).
IEEE Top Reference. 0208 BibRef

Ohuchi, M., Saito, T.,
Three-dimensional shape modeling with extended hyperquadrics,
3DIM01(262-269).
WWW Version. 0106 BibRef

Little, J.J.[James J.],
Deforming Surface Features Lines in Intrinsic Coordinates,
ICPR00(Vol I: 291-294).
WWW Version.
HTML Version. 0009 BibRef

Delingette, H.,
Initialization of Deformable Models from 3D Data,
ICCV98(311-316).
WWW Version. BibRef 9800

Teo, P., Sapiro, G., and Wandell, B.,
Segmenting Cortical Gray Matter for Functional MRI Visualization,
ICCV98(292-297).
WWW Version. BibRef 9800

Malladi, R., and Sethian, J.A.,
A Real-Time Algorithm for Medical Shape Recovery,
ICCV98(304-310).
WWW Version. BibRef 9800

Jones, T.N.[Timothy N.], Metaxas, D.N.[Dimitris N.],
Image Segmentation Based on the Integration of Pixel Affinity and Deformable Models,
CVPR98(330-337).
IEEE Abstract. IEEE Top Reference. BibRef 9800

Jones, T.N., and Metaxas, D.N.,
Segmentation Using Deformable Models with Affinity-Based Localization,
CVRMed-MRCAS97(53-62).
HTML Version. BibRef 9700

Wu, K.N.[Ke-Nong], Levine, M.D.[Martin D.],
Segmenting 3D objects into geons,
CIAP95(320-334).
WWW Version. 9509 BibRef
And:
3D Part Segmentation: A New Physics-Based Approach,
SCV95(311-316).
IEEE Top Reference. McGill University. Object boundaries are assumed to be at strong concavities. For 2d work: See also 2D Shape Segmentation: A New Approach. BibRef

Sato, Y., Ohya, J., and Ishii, K.,
Recovery of Hierarchical Part Structure of 3D Shape from Range Image,
CVPR92(699-702).
IEEE Abstract. IEEE Top Reference. BibRef 9200

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Nonrigid, Deformable Motion Analysis and Tracking .