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).
Springer DOI Reference
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).
Springer DOI Reference
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).
IEEE DOI Reference
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.
Springer DOI Reference
BibRef
9504
Earlier:
Segmentation as the Search for the Best Description of Images in
Terms of Primitives,
ICCV90(121-125).
IEEE DOI Reference
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).
IEEE DOI Reference
BibRef
Han, S.,
Goldgof, D.B., and
Bowyer, K.W.,
Using Hyperquadrics for Shape Recovery from Range Data,
ICCV93(492-496).
IEEE DOI Reference
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).
IEEE DOI Reference
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).
IEEE DOI Reference Shape of deformable model from optical flow.
See also Optical Flow Constraints on Deformable Models with Applications to Face Tracking.
BibRef
Malladi, R.,
Sethian, J.A.,
A Unified Approach to Noise Removal, Image-Enhancement, and
Shape Recovery,
IP(5), No. 11, November 1996, pp. 1554-1568.
IEEE DOI Reference
9611
BibRef
And:
A Real-Time Algorithm for Medical Shape Recovery,
ICCV98(304-310).
IEEE DOI Reference
BibRef
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
Earlier:
Model-Driven Contour Extraction for Physically Deformed Objects:
Application to Analysis of Stomach X-Ray Images,
ICPR92(I:280-284).
IEEE DOI Reference
BibRef
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
Earlier:
Image Segmentation by Reaction-Diffusion Bubbles,
ICCV95(156-162).
IEEE DOI Reference
WWW Version.
BibRef
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).
Springer DOI Reference 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.
IEEE DOI Reference
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.
IEEE DOI Reference
0706
Facial Features.
BibRef
Earlier:
Active Shape Models with Invariant Optimal Features (IOF-ASMs),
AVBPA05(365).
Springer DOI Reference
0509Accurate segmentation of prominant features.
See also Automatic Pose Correction for Local Feature-Based Face Authentication.
See also Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics.
BibRef
Sukno, F.M.[Federico M.],
Frangi, A.F.[Alejandro F.],
Reliability Estimation for Statistical Shape Models,
IP(17), No. 12, December 2008, pp. 2442-2455.
IEEE DOI Reference
0811
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.
Springer DOI Reference
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
Krueger, M.[Matthias],
Delmas, P.[Patrice],
Gimel'farb, G.L.[Georgy L.],
Active Contour Based Segmentation of 3D Surfaces,
ECCV08(II: 350-363).
Springer DOI Reference
0810
BibRef
Zhang, J.D.[Jing-Dan],
Zhou, S.H.K.[Shao-Hua Kevin],
Comaniciu, D.[Dorin],
McMillan, L.[Leonard],
Discriminative Learning for Deformable Shape Segmentation:
A Comparative Study,
ECCV08(I: 711-724).
Springer DOI Reference
0810
BibRef
Earlier:
Conditional density learning via regression with application to
deformable shape segmentation,
CVPR08(1-8).
IEEE DOI Reference
0806
BibRef
Arias, P.[Pablo],
Randall, G.[Gregory],
Sapiro, G.[Guillermo],
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods,
CVPR07(1-8).
IEEE DOI Reference
0706Dealing with outliers. Apply to deformable shapes.
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).
IEEE DOI Reference
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).
IEEE DOI Reference
0409
BibRef
van Ginneken, B.,
Loog, M.,
Pixel Position Regression: Application to Medical Image Segmentation,
ICPR04(III: 718-721).
IEEE DOI Reference
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).
IEEE DOI Reference
0106
BibRef
Little, J.J.[James J.],
Deforming Surface Features Lines in Intrinsic Coordinates,
ICPR00(Vol I: 291-294).
IEEE DOI Reference
HTML Version.
0009
BibRef
Delingette, H.,
Initialization of Deformable Models from 3D Data,
ICCV98(311-316).
IEEE DOI Reference
BibRef
9800
Teo, P.,
Sapiro, G., and
Wandell, B.,
Segmenting Cortical Gray Matter for Functional MRI Visualization,
ICCV98(292-297).
IEEE DOI Reference
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).
Springer DOI Reference
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 .