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9701
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0910
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0108
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0409
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Earlier:
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Earlier:
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HTML Version.
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0307
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0704
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ICPR02(IV: 326-329).
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0606
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ICIP05(I: 381-384).
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Yang, M.Q.A.[Min-Qi-Ang],
Ronsin, J.[Joseph],
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ICIAR08(xx-yy).
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0806
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ICIAR07(423-435).
Springer DOI Link
0708
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El Rube, I.[Ibrahim],
Alajlan, N.[Naif],
Kamel, M.S.[Mohamed S.],
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IJIG(6), No. 3, July 2006, pp. 421-443.
0607
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Earlier:
Robust Multiscale Triangle-Area Representation for 2D Shapes,
ICIP05(I: 545-548).
IEEE DOI Link
0512
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And:
Efficient Multiscale Shape-Based Representation and Retrieval,
ICIAR05(415-422).
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0409
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0704
Shape coding; Vertex-based coding; Modified object-adaptive vertex encoding
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Maximal Digital Straight Segments and Convergence of Discrete Geometric
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0506
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0611
Estimation of shape with only discrete representaiton.
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de Vieilleville, F.[François],
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Earlier:
Robust Estimation of Curvature along Digital Contours with Global
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DGCI08(xx-yy).
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Discrete geometry; Digital contours; Curvature estimation; Feature
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Kerautret, B.[Bertrand],
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Multi-scale Analysis of Discrete Contours for Unsupervised Noise
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Efficient Shape Modeling: Entropy, Adaptive Coding, and Boundary Curves
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Earlier:
An Efficiency Criterion for 2D Shape Model Selection,
CVPR06(I: 1289-1296).
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Thakoor, N.[Ninad],
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Hidden Markov Model-Based Weighted Likelihood Discriminant for 2-D
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IP(16), No. 11, November 2007, pp. 2707-2719.
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ICIP06(945-948).
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US_Patent7,158,664, Jan 2, 2007
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PR(41), No. 5, May 2008, pp. 1799-1815.
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0711
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Earlier:
Unsupervised Custering of Shapes,
ISVC06(I: 712-720).
Springer DOI Link
0611
Shape recognition and retrieval; Symbolic representation; Shape context;
Dynamic programming; Edit distance
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Daliri, M.R.[Mohammad Reza],
Torre, V.[Vincent],
Shape and texture clustering: Best estimate for the clusters number,
IVC(27), No. 10, 2 September 2009, pp. 1603-1614.
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WWW Version.
0906
Shape and texture clustering; Number of clusters; Symbolic
representation; Shape context; Dynamic programming; Edit distance;
SIFT
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Daliri, M.R.[Mohammad Reza],
Torre, V.[Vincent],
Classification of silhouettes using contour fragments,
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0907
Shape recognition; Fragment-based approach; Symbolic representation;
PCA; SVM; Kernel method
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Daliri, M.R.[Mohammad Reza],
Vanzella, W.[Walter],
Torre, V.[Vincent],
A Vision System for Recognizing Objects in Complex Real Images,
ISVC07(II: 234-244).
Springer DOI Link
0711
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Daliri, M.R.[Mohammad Reza],
Delponte, E.[Elisabetta],
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Shape Categorization Using String Kernels,
SSPR06(297-305).
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0608
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Optimal Bit Allocation for Joint Texture-Aware Contour-Based Shape
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CirSysVideo(18), No. 6, June 2008, pp. 840-844.
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0711
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Earlier:
Optimal Bit Allocation for Joint Contour-Based Shape Coding and Shape
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ICIP05(I: 589-592).
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Larsen, R.[Rasmus],
L 1 Generalized Procrustes 2D Shape Alignment,
JMIV(31), No. 2-3, July 2008, pp. 189-194.
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0711
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Earlier:
Functional 2D Procrustes Shape Analysis,
SCIA05(205-213).
Springer DOI Link
0506
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Biasotti, S.[Silvia],
Giorgi, D.[Daniela],
Spagnuolo, M.,
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Size functions for comparing 3D models,
PR(41), No. 9, September 2008, pp. 2855-2873.
WWW Version.
0806
Skeletal graph; Size graph; Size function; Matching distance;
Shape comparison; 3D shape retrieval
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Biasotti, S.[Silvia],
de Floriani, L.[Leila],
Falcidieno, B.[Bianca],
Frosini, P.,
Giorgi, D.,
Landi, C.,
Papaleo, L.[Laura],
Spagnuolo, M.,
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Surveys(40), No. 4, October 2008, pp. 1-87.
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0810
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Biasotti, S.[Silvia],
de Floriani, L.[Leila],
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Papaleo, L.[Laura],
Morphological Representations of Scalar Fields,
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0802
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Papaleo, L.[Laura],
de Floriani, L.[Leila],
Semantic-Based Segmentation and Annotation of 3D Models,
CIAP09(103-112).
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0909
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Paraboschi, L.[Laura],
Biasotti, S.[Silvia],
Falcidieno, B.[Bianca],
Comparing Sets of 3D Digital Shapes Through Topological Structures,
GbRPR07(114-125).
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0706
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Biasotti, S.[Silvia],
Cerri, A.[Andrea],
Frosini, P.,
Giorgi, D.[Daniela],
Landi, C.,
Multidimensional Size Functions for Shape Comparison,
JMIV(32), No. 2, October 2008, pp. xx-yy.
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0804
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Earlier: A2, A1, A4, Only:
k-dimensional Size Functions for Shape Description and Comparison,
CIAP07(795-800).
IEEE DOI Link
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di Fabio, B.[Barbara],
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CIAP09(642-651).
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0909
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ICIAR06(II: 410-421).
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0610
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A Complete Keypics Experiment with Size Functions,
CIVR05(357-366).
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0507
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Zhu, Y.[Yu],
Lu, Z.Q.[Zong-Qi],
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The line segment table: a fast region description algorithm,
RealTimeIP(3), No. 4, December 2008, pp. xx-yy.
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0811
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Kim, J.G.[Jeong-Gyoo],
Noble, J.A.[J. Alison],
Brady, J.M.[J. Michael],
Probabilistic Models for Shapes as Continuous Curves,
JMIV(33), No. 1, January 2009, pp. xx-yy.
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0804
Shape model as deformation from a standard shape.
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Jankowski, H.K.[Hanna K.],
Stanberry, L.I.[Larissa I.],
Expectations of Random Sets and Their Boundaries Using Oriented
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JMIV(36), No. 3, March 2010, pp. xx-yy.
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1003
View the object as random sets in the plane.
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General Shape Generation by Contouring Fractals and Applying Linear
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Recursive compositional models: Representation, learning, and inference,
SIG09(5-5).
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Recursive compositional models:
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SIG09(9-10).
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Find a general low-level representation.
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Bandera, A.,
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IbPRIA09(417-424).
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Shan, H.H.[Hong-Hao],
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Looking around the backyard helps to recognize faces and digits,
CVPR08(1-8).
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0806
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AM-FM Image Analysis Using the Hilbert Huang Transform,
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ICIP07(VI: 169-172).
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Marmo, R.[Roberto],
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Karlsson, J.,
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CAIP03(393-401).
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Stegmann, M.B.[Mikkel B.],
Lading, B.[Brian],
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Some Issues of Biological Shape Modelling with Applications,
SCIA03(509-519).
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0310
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Polec, J.[Jaroslav],
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ICPR02(III: 355-358).
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Dhandapani, R.,
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Pinheiro, A.M.G.,
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Contour simplification using non-linear diffusion,
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Scalable coding of shape contours in scale space,
ICIP02(I: 165-168).
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Pinheiro, A.M.G.,
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SCIA01(O-M4B).
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Rogers, M.,
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Structured Point Distribution Models:
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Latecki, L.J.[Longin Jan],
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For MPEG encoding Evalution
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CIAP97(I: 604-611).
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9709
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Neumann, A.[Anke],
Lorenz, C.[Cristian],
Comparison and application of selected statistical shape models in
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CIAP97(II: 680-687).
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Apostolopoulos, J.G.,
Lim, J.S.,
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A non-linear shape abstraction technique,
CAIP93(223-230).
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Simplify shape using rewrite rules.
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0403
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Ma, J.,
Lu, X.,
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A New Shape Recognition System,
ICPR86(811-813).
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8600
Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Shape Computation Surveys, Comparisons .