Innovations for shape analysis: models and algorithms
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Buch |
| Sprache: | English |
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Berlin [u.a.]
Springer
2013
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| Schriftenreihe: | Mathematics and visualization
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| Schlagworte: | |
| Online-Zugang: | Inhaltstext Cover Inhaltsverzeichnis |
| Beschreibung: | XXIV, 496 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783642341403 3642341403 |
Internformat
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| 245 | 1 | 0 | |a Innovations for shape analysis |b models and algorithms |c Michael Breuß ... (eds.) |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2013 | |
| 300 | |a XXIV, 496 S. |b Ill., graph. Darst. |c 235 mm x 155 mm | ||
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Datensatz im Suchindex
| _version_ | 1806325245816078336 |
|---|---|
| adam_text |
IMAGE 1
CONTENTS
PART I DISCRETE SHAPE ANALYSIS
1 MODELING THREE-DIMENSIONAL MORSE AND MORSE-SMALE COMPLEXES 3
LIDIJA COMIC, LEILA DE FLORIANI, AND FEDERICO IURICICH 1.1 INTRODUCTION
3
1.2 BACKGROUND NOTIONS 5
1.3 RELATED WORK 9
1.4 REPRESENTING THREE-DIMENSIONAL MORSE AND MORSE- SMALE COMPLEXES 10
1.4.1 A DIMENSION-INDEPENDENT COMPACT REPRESENTATION FOR MORSE COMPLEXES
10
1.4.2 A DIMENSION-SPECIFIC REPRESENTATION FOR 3D MORSE-SMALE COMPLEXES
13
1.4.3 COMPARISON 14
1.5 ALGORITHMS FOR BUILDING 3D MORSE AND MORSE-SMALE COMPLEXES 15
1.5.1 A WATERSHED-BASED APPROACH FOR BUILDING THE MORSE INCIDENCE GRAPH
15
1.5.2 A BOUNDARY-BASED ALGORITHM 18
1.5.3 A WATERSHED-BASED LABELING ALGORITHM 19
1.5.4 A REGION-GROWING ALGORITHM 20
1.5.5 AN ALGORITHM BASED ON FORMAN THEORY 21
1.5.6 A FORMAN-BASED APPROACH FOR CUBICAL COMPLEXES 22 1.5.7 A
FORMAN-BASED APPROACH FOR SIMPLICIAL COMPLEXES . 24 1.5.8 ANALYSIS AND
COMPARISON 25
1.6 SIMPLIFICATION OF 3D MORSE AND MORSE-SMALE COMPLEXES 26
1.6.1 CANCELLATION IN 3D 27
1.6.2 REMOVAL AND CONTRACTION OPERATORS 29
1.7 CONCLUDING REMARKS 31
REFERENCES 32
HTTP://D-NB.INFO/1025944739
IMAGE 2
X J J CONTENTS
2 GEODESIC REGRESSION AND ITS APPLICATION TO SHAPE ANALYSIS 35
P. THOMAS FLETCHER 2.1 INTRODUCTION 35
2.2 MULTIPLE LINEAR REGRESSION 36
2.3 GEODESIC REGRESSION 37
2.3.1 LEAST SQUARES ESTIMATION 38
2.3.2 R 2 STATISTICS AND HYPOTHESIS TESTING 4 0
2.4 TESTING THE GEODESIC FIT 41
2.4.1 REVIEW OF UNIVARIATE KERNEL REGRESSION 43
2.4.2 NONPARAMETRIC KERNEL REGRESSION ON MANIFOLDS 44
2.4.3 BANDWIDTH SELECTION 44
2.5 RESULTS: REGRESSION OF 3D ROTATIONS 45
2.5.1 OVERVIEW OF UNIT QUATERNIONS 45
2.5.2 GEODESIC REGRESSION OF SIMULATED ROTATION DATA 45
2.6 RESULTS: REGRESSION IN SHAPE SPACES 4 6
2.6.1 OVERVIEW O F KENDALL'S SHAPE SPACE 47
2.6.2 APPLICATION TO CORPUS CALLOSUM AGING 48
2.7 CONCLUSION 51
REFERENCES 51
3 SEGMENTATION AND SKELETONIZATION ON ARBITRARY GRAPHS USING MULTISCALE
MORPHOLOGY AND ACTIVE CONTOURS 53
PETROS MARAGOS AND KIMON DRAKOPOULOS 3.1 INTRODUCTION 53
3.2 MULTISCALE MORPHOLOGY ON GRAPHS 55
3.2.1 BACKGROUND ON LATTICE AND MULTISCALE MORPHOLOGY 55
3.2.2 BACKGROUND ON GRAPH MORPHOLOGY 57
3.2.3 MULTISCALE MORPHOLOGY ON GRAPHS 60
3.3 GEODESIC ACTIVE CONTOURS ON GRAPHS 61
3.3.1 CONSTANT-VELOCITY ACTIVE CONTOURS ON GRAPHS 63
3.3.2 DIRECTION O F THE GRADIENT ON GRAPHS 64
3.3.3 CURVATURE CALCULATION ON GRAPHS 67
3.3.4 CONVOLUTION ON GRAPHS 68
3.3.5 ACTIVE CONTOURS ON GRAPHS: THE ALGORITHM 69
3.4 MULTISCALE SKELETONIZATION ON GRAPHS 7 0
3.5 CONCLUSIONS 72
REFERENCES 74
4 REFINED HOMOTOPIC THINNING ALGORITHMS AND QUALITY MEASURES FOR
SKELETONISATION METHODS 77
PASCAL PETER AND MICHAEL BREUSS 4.1 INTRODUCTION 77
4.2 ALGORITHMS 79
4.2.1 NEW ALGORITHM: FLUX-ORDERED ADAPTIVE THINNING (FOAT) 80
4.2.2 NEW ALGORITHM: MAXIMAL DISC THINNING (MDT) 81
IMAGE 3
CONTENTS XIII
4.3 ANALYSIS O F MAT ALGORITHMS 82
4.3.1 QUALITY CRITERIA 83
4.3.2 GRAPH MATCHING FOR INVARIANCE VALIDATION 84
4.4 EXPERIMENTS 85
4.5 CONCLUSIONS 9 0
REFERENCES 9 0
5 NESTED SPHERE STATISTICS O F SKELETAL MODELS 93
STEPHEN M. PIZER, SUNGKYU JUNG, DIBYENDUSEKHAR GOSWAMI, JARED VICORY,
XIAOJIE ZHAO, RITWIK CHAUDHURI, JAMES N. DAEMON, STEPHAN HUCKEMANN, AND
J.S. MARRON 5.1 OBJECT MODELS SUITABLE FOR STATISTICS 94
5.2 SKELETAL MODELS O F NON-BRANCHING OBJECTS 95
5.3 OBTAINING S-REPS SUITABLE FOR PROBABILISTIC ANALYSIS 98
5.3.1 FITTING UNBRANCHED S-REPS TO OBJECT DESCRIPTION DATA 99
5.3.2 ACHIEVING CORRESPONDENCE O F SPOKE VECTORS 102
5.4 THE ABSTRACT SPACE O F S-REPS AND COMMON CONFIGURATIONS O F S-REP
FAMILIES IN THAT SPACE 103
5.4.1 THE ABSTRACT SPACE O F S-REPS 103
5.4.2 FAMILIES OF S-REP COMPONENTS ON THEIR SPHERES 104
5.5 TRAINING PROBABILITY DISTRIBUTIONS IN POPULATIONS OF DISCRETE S-REPS
104
5.5.1 PREVIOUS METHODS FOR ANALYZING DATA ON A SPHERE 104
5.5.2 TRAINING PROBABILITY DISTRIBUTIONS ON S-REP COMPONENTS LIVING ON
SPHERES: PRINCIPAL NESTED SPHERES 107
5.5.3 COMPOSITING COMPONENT DISTRIBUTIONS INTO AN OVERALL PROBABILITY
DISTRIBUTION 108
5.6 ANALYSES O F POPULATIONS O F TRAINING OBJECTS 110
5.7 EXTENSIONS AND DISCUSSION 112
REFERENCES 113
6 3D CURVE SKELETON COMPUTATION AND USE FOR DISCRETE SHAPE ANALYSIS 117
GABRIELLA SANNITI DI BAJA, LUCA SERINO, AND CARLO ARCELLI 6.1
INTRODUCTION 117
6.2 NOTIONS AND DEFINITIONS 121
6.2.1 DISTANCE TRANSFORM 122
6.2.2 CENTERS O F MAXIMAL BALLS AND ANCHOR POINTS 124
6.3 THE CURVE SKELETON 125
6.3.1 FINAL THINNING AND PRUNING 126
6.4 OBJECT DECOMPOSITION 128
6.4.1 SKELETON PARTITION 129
6.4.2 SIMPLE REGIONS, BUMPS AND KERNELS 129
6.4.3 MERGING 131
IMAGE 4
X | V C O N T E N T S
6.5 DISCUSSION AND CONCLUSION 132
REFERENCES 134
7 ORIENTATION AND ANISOTROPY O F MULTI-COMPONENT SHAPES 137
JOVISA ZUNIC AND PAUL L. ROSIN 7.1 INTRODUCTION 138
7.2 SHAPE ORIENTATION 138
7.3 ORIENTATION O F MULTI-COMPONENT SHAPES 142
7.3.1 EXPERIMENTS 146
7.4 BOUNDARY-BASED ORIENTATION 149
7.4.1 EXPERIMENTS 151
7.5 ANISOTROPY O F MULTI-COMPONENT SHAPES 152
7.6 CONCLUSION 156
REFERENCES 156
PART II PARTIAL DIFFERENTIAL EQUATIONS FOR SHAPE ANALYSIS
8 STAHLE SEMI-LOCAL FEATURES FOR NON-RIGID SHAPES 161
ROEE LITMAN, ALEXANDER M. BRONSTEIN, AND MICHAEL M. BRONSTEIN 8.1
INTRODUCTION 162
8.1.1 RELATED WORK 162
8.1.2 MAIN CONTRIBUTION 163
8.2 DIFFUSION GEOMETRY 163
8.2.1 DIFFUSION ON SURFACES 164
8.2.2 VOLUMETRIE DIFFUSION 165
8.2.3 COMPUTATIONAL ASPECTS 166
8.3 MAXIMALLY STABLE COMPONENTS 167
8.3.1 COMPONENT TREES 168
8.3.2 MAXIMALLY STABLE COMPONENTS 168
8.3.3 COMPUTATIONAL ASPECTS 169
8.4 WEIGHTING FUNCTIONS 169
8.4.1 SCALE INVARIANCE 170
8.5 DESCRIPTORS 171
8.5.1 POINT DESCRIPTORS 171
8.5.2 REGION DESCRIPTORS 172
8.6 RESULTS 173
8.6.1 DATASETS 173
8.6.2 DETECTOR REPEATABILITY 176
8.6.3 DESCRIPTOR INFORMATIVITY 182
8.7 CONCLUSIONS 187
REFERENCES 187
IMAGE 5
CONTENTS X V
9 A BRIEF SURVEY ON SEMI-LAGRANGIAN SCHEMES
FOR IMAGE PROCESSING 191
ELISABETTA CARLINI, MAURIZIO FALCONE, AND ADRIANO FESTA 9.1 INTRODUCTION
191
9.2 AN INTRODUCTION TO SEMI-LAGRANGIAN SCHEMES FOR NONLINEAR PDES 192
9.3 SHAPE FROM SHADING 198
9.4 NONLINEAR FILTERING VIA MCM 204
9.4.1 SL APPROXIMATION FOR THE NONLINEAR FILTERING PROBLEM VIA MCM 205
9.5 SEGMENTATION VIA THE LS METHOD 209
9.5.1 SL SCHEME FOR SEGMENTATION VIA THE LS METHOD 210
9.6 THE MOTION SEGMENTATION PROBLEM 212
9.6.1 SL SCHEME FOR THE MOTION SEGMENTATION PROBLEM 214
9.7 CONCLUSIONS 215
REFERENCES 216
10 SHAPE RECONSTRUCTION O F SYMMETRIE SURFACES USING PHOTOMETRIE STEREO
219
ROBERTO MECCA AND SILVIA TOZZA 10.1 INTRODUCTION TO THE SHAPE FROM
SHADING: PHOTOMETRIE STEREO MODEL AND SYMMETRIE SURFACES 219
10.2 CONDITION O F LINEAR INDEPENDENT IMAGES FOR THE SFS-PS
RECONSTRUCTION 221
10.2.1 NORMAL VECTOR APPROACH 221
10.2.2 PDE APPROACH 222
10.3 LINEAR DEPENDENT IMAGE RECONSTRUCTION 227
10.4 REDUCTION O F THE NUMBER OF THE IMAGES USING SYMMETRIES 230 10.4.1
SYMMETRIE SURFACES 230
10.4.2 UNIQUENESS THEOREM FOR THE SYMMETRIE SURFACES 232 10.4.3 SURFACES
WITH FOUR SYMMETRY STRAIGHT LINES 236
10.5 NUMERICAL TESTS 237
10.5.1 NUMERICAL COMPUTATION OF LINEAR DEPENDENT IMAGES 237 10.5.2 SHAPE
RECONSTRUCTION FOR SYMMETRIE SURFACES 238
10.6 CONCLUSION AND PERSPECTIVES 241
REFERENCES 242
11 REMESHING BY CURVATURE DRIVEN DIFFUSION 245
SERENA MORIGI AND MARCO RUCCI 11.1 INTRODUCTION 245
11.2 ADAPTIVE MESH REGULARIZATION 247
11.3 ADAPTIVE REMESHING (AR) ALGORITHM 251
11.3.1 CALCULATING GRADIENT AND DIVERGENCE OPERATORS 253
11.4 REMESHING RESULTS 254
11.5 CONCLUSIONS 260
REFERENCES 261
IMAGE 6
X V J CONTENTS
12 GROUP-VALUED REGULARIZATION FOR MOTION SEGMENTATION
O F ARTICULATED SHAPES 263
GUY ROSMAN, MICHAEL M. BRONSTEIN, ALEXANDER M. BRONSTEIN, ALON WOLF, AND
RON KIMMEL 12.1 INTRODUCTION 264
12.1.1 MAIN CONTRIBUTION 264
12.1.2 RELATION TO PRIOR WORK 265
12.2 PROBLEM FORMULATION 266
12.2.1 ARTICULATION MODEL 266
12.2.2 MOTION SEGMENTATION 266
12.2.3 LIE-GROUPS 268
12.3 REGULARIZATION O F GROUP-VALUED FUNCTIONS ON SURFACES 270
12.3.1 AMBROSIO-TORTORELLI SCHEME 270
12.3.2 DIFFUSION O F LIE-GROUP ELEMENTS 271
12.4 NUMERICAL CONSIDERATIONS 272
12.4.1 INITIAL CORRESPONDENCE ESTIMATION 272
12.4.2 DIFFUSION O F LIE-GROUP ELEMENTS 273
12.4.3 VISUALIZING LIE-GROUP CLUSTERING ON SURFACES 274
12.5 RESULTS 275
12.6 CONCLUSION 277
REFERENCES 278
13 POINT CLOUD SEGMENTATION AND DENOISING VIA CONSTRAINED NONLINEAR
LEAST SQUARES NORMAL ESTIMATES 283
EDWARD CASTILLO, JIAN LIANG, AND HONGKAI ZHAO 13.1 INTRODUCTION 283
13.2 PCA AS CONSTRAINED LINEAR LEAST SQUARES 285
13.3 NORMAL ESTIMATION VIA CONSTRAINED NONLINEAR LEAST SQUARES 287 13.4
FNCORPORATING POINT CLOUD DENOISING INTO THE NLSQ NORMAL ESTIMATE 288
13.5 GENERALIZED POINT CLOUD DENOISING AND NLSQ NORMAL ESTIMATION 291
13.6 COMBINED POINT CLOUD DECLUSTERING, DENOISING, AND NLSQ NORMAL
ESTIMATION 292
13.7 SEGMENTATION BASED ON POINT CONNECTIVITY 292
13.8 CONCLUSIONS 297
REFERENCES 297
14 DISTANCE IMAGES AND THE ENCLOSURE FIELD: APPLICATIONS IN
INTERMEDIATE-LEVEL COMPUTER AND BIOLOGICAL VISION 301
STEVEN W. ZUCKER 14.1 INTRODUCTION 301
14.1.1 FIGURE, GROUND, AND BORDER OWNERSHIP 302
14.1.2 SOFT CLOSURE IN VISUAL PSYCHOPHYSICS 304
14.1.3 INTERMEDIATE-LEVEL COMPUTER VISION 304
14.2 GLOBAL DISTANCE INFORMATION SIGNALED LOCALLY 305
IMAGE 7
CONTENTS XVII
14.3 MATHEMATICAL FORMULATION 308
14.4 EDGE PRODUCING MODEL 309
14.4.1 DENSITY SCALE SPACE 312
14.5 DISTANCE IMAGES SUPPORT AIRPORT RECOGNITION 312
14.6 THE ENCLOSURE FIELD CONJECTURE 315
14.6.1 INFERRING COHERENT BORDERS 317
14.6.2 FEEDBACK PROJECTIONS VIA SPECIALIZED INTERNEURONS 317 14.6.3
LOCAL FIELD POTENTIALS CARRY THE ENCLOSURE FIELD 319
14.7 SUMMARY AND CONCLUSIONS 321
REFERENCES 321
PART III OPTIMIZATION METHODS FOR SHAPE ANALYSIS
15 NON-RIGID SHAPE CORRESPONDENCE USING POINTWISE SURFACE DESCRIPTORS
AND METRIE STRUCTURES 327
ANASTASIA DUBROVINA, DAN RAVIV, AND RON KIMMEL 15.1 INTRODUCTION 327
15.2 RELATED WORK 328
15.3 MATCHING PROBLEM FORMULATION 329
15.3.1 QUADRATIC PROGRAMMING FORMULATION 331
15.3.2 HIERARCHICAL MATCHING 331
15.4 ON THE CHOICE O F METRIE AND DESCRIPTORS 332
15.4.1 LAPLACE-BELTRAMI OPERATOR 333
15.4.2 CHOICE O F METRIE 334
15.4.3 CHOICE OF DESCRIPTORS 335
15.5 MATCHING AMBIGUITY PROBLEM 335
15.6 RESULTS 337
15.7 CONCLUSIONS 339
REFERENCES 340
16 A REVIEW O F GEOMETRY RECOVERY FROM A SINGLE IMAGE FOCUSING ON CURVED
OBJECT RECONSTRUCTION 343
MARTIN R. OSWALD, ENO TOEPPE, CLAUDIA NIEUWENHUIS, AND DANIEL CREMERS
16.1 INTRODUCTION 343
16.2 SINGLE VIEW RECONSTRUCTION 344
16.2.1 IMAGE CUES 344
16.2.2 PRIORS 346
16.3 CLASSIFICATION O F HIGH-LEVEL APPROACHES 348
16.3.1 CURVED OBJECTS 349
16.3.2 PIECEWISE PLANAR OBJECTS AND SCENES 353
16.3.3 LEARNING SPECIFIC OBJECTS 355
16.3.4 3D IMPRESSION FROM SCENES 358
16.4 GENERAL COMPARISON O F HIGH-LEVEL APPROACHES 360
IMAGE 8
X V I UE CONTENTS
16.5 COMPARISON OF APPROACHES FOR CURVED SURFACE
RECONSTRUCTION 363
16.5.1 THEORETICAL COMPARISON 363
16.5.2 EXPERIMENTAL COMPARISON 364
16.6 CONCLUSION 375
REFERENCES 375
17 ON GLOBALLY OPTIMAL LOCAL MODELING: FROM MOVING LEAST SQUARES TO
OVER-PARAMETRIZATION 379
SHACHAR SHEM-TOV, GUY ROSMAN, GILAD ADIV, RON KIMMEL, AND ALFRED M.
BRUCKSTEIN 17.1 INTRODUCTION 379
17.2 THE LOCAL MODELING O F DATA 381
17.3 GLOBAL PRIORS ON LOCAL MODEL PARAMETER VARIATIONS 382
17.4 THE OVER-PARAMETERIZED FUNCTIONAL 383
17.4.1 THE OVER-PARAMETERIZED FUNCTIONAL WEAKNESSES 384
17.5 THE NON-LOCAL OVER-PARAMETERIZED FUNCTIONAL 385
17.5.1 THE MODIFIED DATA TERM: A NON-LOCAL FUNCTIONAL IMPLEMENTING MLS
385
17.5.2 THE MODIFIED REGULARIZATION TERM 387
17.5.3 EFFECTS O F THE PROPOSED FUNCTIONAL MODIFICATIONS 388 17.5.4
EULER-LAGRANGE EQUATIONS 392
17.6 IMPLEMENTATION 393
17.6.1 INITIALIZATION 393
17.7 EXPERIMENTS AND RESULTS 394
17.7.1 1D EXPERIMENTS 394
17.7.2 1D RESULTS 396
17.7.3 2D EXAMPLE 401
17.8 CONCLUSION 403
REFERENCES 404
18 INCREMENTAL LEVEL SET TRACKING 407
SHAY DEKEL, NIR SOCHEN, AND SHAI AVIDAN 18.1 INTRODUCTION 407
18.2 BACKGROUND 408
18.2.1 INTEGRATED ACTIVE CONTOURS 409
18.2.2 BUILDING THE PCA EIGENBASE 411
18.2.3 DYNAMICAL STATISTICAL SHAPE MODEL 413
18.3 PCA REPRESENTATION MODEL 414
18.4 MOTION ESTIMATION 415
18.5 RESULTS 416
18.6 CONCLUSIONS 419
REFERENCES 419
IMAGE 9
CONTENTS XIX
19 SIMULTANEOUS CONVEX OPTIMIZATION O F REGIONS AND REGION
PARAMETERS IN IMAGE SEGMENTATION MODELS 42 1
EGIL BAE, JING YUAN, AND XUE-CHENG TAI 19.1 INTRODUCTION 421
19.2 CONVEX RELAXATION MODELS 425
19.2.1 CONVEX RELAXATION FOR POTTS MODEL 425
19.2.2 CONVEX RELAXATION FOR PIECEWISE-CONSTANT MUMFORD-SHAH MODEL 426
19.2.3 JOINTLY CONVEX RELAXATION OVER REGIONS AND REGION PARAMETERS 428
19.3 SOME OPTIMALITY RESULTS 430
19.3.1 DATA I'IDELITY 430
19.3.2 OPTIMALITY OF RELAXATION FOR N - 2 431
19.4 ALGORITHMS 432
19.5 NUMERICAL EXPERIMENTS 433
19.6 CONCLUSIONS AND FUTURE WORK 434
19.6.1 CONCLUSIONS 436
19.7 PROOFS 436
REFERENCES 437
20 FLUCTUATING DISTANCE FIELDS, PARTS, THREE-PARTITE SKELETONS 439 SIBEL
TARI 20.1 SHAPES ARE CONTINUOUS 439
20.2 FLUCTUATING DISTANCE FIELD W 442
20.2.1 FORMULATION 442
20.2.2 ILLUSTRATIVE RESULTS 448
20.2.3 CO AND THE AT/TSP FIELD 451
20.3 THREE PARTITE SKELETONS 455
20.3.1 WHY THREE PARTITE SKELETONS? 459
20.4 SUMMARY AND CONCLUDING REMARKS 463
REFERENCES 464
21 INTEGRATED DEM CONSTRUCTION AND CALIBRATION OF HYPERSPECTRAL IMAGERY:
A REMOTE SENSING PERSPECTIVE 467
CHRISTIAN WOEHLER AND ARNE GRUMPE 21.1 INTRODUCTION 468
21.2 REFLECTANCE MODELLING 469
21.3 DEM CONSTRUCTION 471
21.3.1 THE ERROR FUNCTIONAL 471
21.3.2 VARIATIONAL OPTIMISATION SCHEME 472
21.3.3 INITIALISATION BY AN EXTENDED PHOTOCLINOMETRY SCHEME 474
21.4 RESULTS OF DEM CONSTRUCTION 475
21.5 CALIBRATION OF HYPERSPECTRAL IMAGERY 477
21.5.1 PREPROCESSING AND NORMALISATION OF REFLECTANCE SPECTRA 478
IMAGE 10
XX CONTENTS
21.5.2 EXTRACTION O F SPECTRAL PARAMETERS 480
21.5.3 TOPOGRAPHY DEPENDENCE O F SPECTRAL PARAMETERS 483
21.5.4 EMPIRICAL TOPOGRAPHY CORRECTION 484
21.6 RESULTS O F TOPOGRAPHY CORRECTION AND FINAL DEM CONSTRUCTION 485
21.7 SUMMARY AND CONCLUSION 489
REFERENCES 489
INDEX 493 |
| any_adam_object | 1 |
| author2 | Breuß, Michael 1971- |
| author2_role | edt |
| author2_variant | m b mb |
| author_GND | (DE-588)123223393 |
| author_facet | Breuß, Michael 1971- |
| building | Verbundindex |
| bvnumber | BV041123473 |
| classification_rvk | ST 330 |
| ctrlnum | (OCoLC)856810533 (DE-599)DNB1025944739 |
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| dewey-hundreds | 500 - Natural sciences and mathematics 000 - Computer science, information, general works |
| dewey-ones | 510 - Mathematics 006 - Special computer methods |
| dewey-raw | 510 006.42 |
| dewey-search | 510 006.42 |
| dewey-sort | 3510 |
| dewey-tens | 510 - Mathematics 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV041123473 |
| illustrated | Illustrated |
| indexdate | 2024-08-03T00:46:31Z |
| institution | BVB |
| isbn | 9783642341403 3642341403 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-026099462 |
| oclc_num | 856810533 |
| open_access_boolean | |
| owner | DE-473 DE-BY-UBG DE-83 DE-11 |
| owner_facet | DE-473 DE-BY-UBG DE-83 DE-11 |
| physical | XXIV, 496 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Springer |
| record_format | marc |
| series2 | Mathematics and visualization |
| spelling | Innovations for shape analysis models and algorithms Michael Breuß ... (eds.) Berlin [u.a.] Springer 2013 XXIV, 496 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Mathematics and visualization Formbeschreibung (DE-588)4748539-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Formbeschreibung (DE-588)4748539-5 s DE-604 Breuß, Michael 1971- (DE-588)123223393 edt Erscheint auch als Online-Ausgabe Breuß, Michael Innovations for Shape Analysis (DE-604)BV041043742 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=4121750&prov=M&dok%5Fvar=1&dok%5Fext=htm Inhaltstext V:DE-576;X:springer image/jpeg http://swbplus.bsz-bw.de/bsz372537588cov.htm Cover DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026099462&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Innovations for shape analysis models and algorithms Formbeschreibung (DE-588)4748539-5 gnd |
| subject_GND | (DE-588)4748539-5 (DE-588)4143413-4 |
| title | Innovations for shape analysis models and algorithms |
| title_auth | Innovations for shape analysis models and algorithms |
| title_exact_search | Innovations for shape analysis models and algorithms |
| title_full | Innovations for shape analysis models and algorithms Michael Breuß ... (eds.) |
| title_fullStr | Innovations for shape analysis models and algorithms Michael Breuß ... (eds.) |
| title_full_unstemmed | Innovations for shape analysis models and algorithms Michael Breuß ... (eds.) |
| title_short | Innovations for shape analysis |
| title_sort | innovations for shape analysis models and algorithms |
| title_sub | models and algorithms |
| topic | Formbeschreibung (DE-588)4748539-5 gnd |
| topic_facet | Formbeschreibung Aufsatzsammlung |
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