Verfügbarkeit: Advances in Face Image Analysis - Theory and Applications

Advances in Face Image Analysis - Theory and Applications:

Gespeichert in:

Bibliographische Detailangaben
Weitere beteiligte Personen:	Dornaika, Fadi (HerausgeberIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Sharjah, U.A.E. Bentham Science Publisher [2016]
Schlagwörter:	Gesicht Bildanalyse
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028916537&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	III, 254 Seiten Illustrationen, Diagramme
ISBN:	9781681081113

Internformat

MARC


LEADER	00000nam a2200000 c 4500
001	BV043500123
003	DE-604
005	20160624
007	t\|
008	160407s2016 xx a\|\|\| \|\|\|\| 00\|\|\| eng d
020			\|a 9781681081113 \|c Druckausgabe \|9 978-1-68108-111-3
035			\|a (OCoLC)951733484
035			\|a (DE-599)BVBBV043500123
040			\|a DE-604 \|b ger \|e rda
041	0		\|a eng
049			\|a DE-473
084			\|a ST 330 \|0 (DE-625)143663: \|2 rvk
245	1	0	\|a Advances in Face Image Analysis - Theory and Applications \|c edited by Fadi Dornaika, University of the Basque Country (UPV/EHU)
264		1	\|a Sharjah, U.A.E. \|b Bentham Science Publisher \|c [2016]
300			\|a III, 254 Seiten \|b Illustrationen, Diagramme
336			\|b txt \|2 rdacontent
337			\|b n \|2 rdamedia
338			\|b nc \|2 rdacarrier
650	0	7	\|a Gesicht \|0 (DE-588)4020687-7 \|2 gnd \|9 rswk-swf
650	0	7	\|a Bildanalyse \|0 (DE-588)4145391-8 \|2 gnd \|9 rswk-swf
689	0	0	\|a Bildanalyse \|0 (DE-588)4145391-8 \|D s
689	0	1	\|a Gesicht \|0 (DE-588)4020687-7 \|D s
689	0		\|5 DE-604
700	1		\|a Dornaika, Fadi \|0 (DE-588)1103499963 \|4 edt
776	0	8	\|i Erscheint auch als \|n Online-Ausgabe \|z 978-1-68108-110-6
856	4	2	\|m Digitalisierung UB Bamberg - ADAM Catalogue Enrichment \|q application/pdf \|u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028916537&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA \|3 Inhaltsverzeichnis
943	1		\|a oai:aleph.bib-bvb.de:BVB01-028916537

Datensatz im Suchindex

_version_	1819262067644825600
adam_text	CONTENTS FOREWORD ............................................................. i PREFACE ............................................................. ii LIST OF CONTRIBUTORS ............................................... iii CHAPTER I FACIAL EXPRESSION CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKS ......................................................................... 3 INTRODUCTION ................................................................. 3 Convolutional Neural Networks ............................................. 4 Facial Expression Analysis ................................................ 5 GRADIENT-BASED LEARNING FOR CNNS ............................................. 6 FEATURE GENERALIZATION ...................................................... 10 EXPERIMENTS ................................................................. 11 Datasets ................................................................. 11 CK-Regianini Dataset ................................................ 11 CK-Zheng Dataset ..................................................... 13 CMU-Pittsburgh dataset ............................................... 13 Experiments on CNN-based Facial Expression Classification ................ 13 Design ............................................................... 13 Results and Analysis ............................................... 14 Experiments on Feature Generalization .................................... 16 Design ............................................................. 16 Results and Analysis ................................................. 18 DISCUSSION .................................................................. 19 CONFLICT OF INTEREST ........................................................ 20 ACKNOWLEDGEMENTS .......................................................... 20 REFERENCES .................................................................. 20 CHAPTER 2 SPARSITY PRESERVING PROJECTION BASED CONSTRAINED GRAPH EMBEDDING AND ITS APPLICATION TO FACE RECOGNITION ......................................... 23 INTRODUCTION ................................................................ 24 RELATED WORK ................................................................ 25 Locality Preserving Projection ........................................... 25 Neighborhood Preserving Embedding ........................................ 27 Sparsity Preserving Projection ........................................... 28 Constrained Graph Embedding .......................................... 28 SPP BASED CONSTRAINED GRAPH EMBEDDING ....................................... 30 SPP-CGE ..................................................................... 30 Out-of-Sample Extension .............*.................................... 31 EXPERIMENTAL RESULTS ........................................................ 33 CONCLUSION .................................................................. 36 NOTES ....................................................................... 37 CONFLICT OF INTEREST ........................................................ 37 ACKNOWLEDGEMENTS ............................................................ 37 REFERENCES ...........................................................,...... 37 CHAPTER 3 FACE RECOGNITION USING EXPONENTIAL LOCAL DISCRIMINANT EMBEDDING ................................................................................... 39 INTRODUCTION ............................................................... 40 Contribution and Related Work ........................................... 42 REVIEW OF LOCAL DISCRIMINANT EMBEDDING (LDE) .............................. 44 Intrinsic Graph and Penalty Graph .................................. 44 Optimal Mapping ........................................................ 46 The Small Sample Size Problem ........................................... 47 EXPONENTIAL LDE ............................................................. 47 Matrix Exponential ...................................................... 48 Exponential LDE ........................................................ 48 THEORETICAL ANALYSIS OF ELDE ............................................... 50 Solving the SSS Problem ................................................ 50 Distance Diffusion Mapping ............................................. 50 PERFORMANCE EVALUATION ..................................................... 53 Face Databases ....................................................... 54 Recognition Accuracy ................................................... 54 Comparison between Regularized LDE and ELDE ............................ 59 CONCLUSION ................................................................. 60 NOTES ...................................................................... 61 CONFLICT OF INTEREST ....................................................... 61 ACKNOWLEDGMENTS ............................................................ 61 REFERENCES ................................................................. 62 CHAPTER 4 ADAPTIVE LOCALITY PRESERVING PROJECTIONS FOR FACE RECOGNITION .... 66 INTRODUCTION ............................................................... 67 LOCALITY PRESERVING PROJECTIONS ............................................ 68 ENHANCED AND PARAMETERLESS LPP ............................................. 71 PERFORMANCE EVALUATION ..................................................... 73 Face Databases ....................................................... 73 Experimental Results ................................................. 74 Performance Comparison for OLPP and SLPP ............................... 81 CONCLUSION ................................................................. 82 NOTES ...................................................................... 83 CONFLICT OF INTEREST ....................................................... 83 ACKNOWLEDGMENTS ............................................................ 83 REFERENCES ................................................................. 83 CHAPTER 5 FACE RECOGNITION USING 3D FACE RECTIFICATION ........................ 86 INTRODUCTION ............................................................... 86 PROPOSED METHOD ............................................................ 88 FACE DATABASE .............................................................. 89 PREPROCESSING .............................................................. 90 FACIAL FEATURE DETECTION .................................................... 91 POSE ESTIMATION ............................................................. 93 IRAD Contours .......................................................... 94 Ellipse Fitting And Roll Correction .................................... 95 Yaw Correction ......................................................... 96 Pitch Correction ....................................................... 97 Accuracy Of The Pose Estimation Method ............................... 98 ROTATION AND POST PROCESSING ............................................... 98 EXPERIMENTS ................................................................ 99 CONCLUSION .......................................................... 103 NOTES ............................................................... 104 CONFLICT OF INTEREST ................................................ 104 ACKNOWLEDGMENTS ..................................................... 104 REFERENCES .......................................................... 104 CHAPTER 6 3D FACE RECOGNITION .......................................... 109 INTRODUCTION ........................................................ 109 3D FACE ACQUISITION ................................................. Ill 3D FACE REPRESENTATION .............................................. 116 PREPROCESSING ....................................................... I 19 3D FACE ALIGNMENT ................................................... 122 FACE RECOGNITION .................................................... 124 CONCLUDING REMARKS .................................................. 127 CONFLICT OF INTEREST ................................................ 127 ACKNOWLEDGEMENTS .................................................... 128 REFERENCES .......................................................... 128 CHAPTER 7 MODEL-LESS 3D FACE POSE ESTIMATION ........................... 132 INTRODUCTION ........................................................ 132 STATE OF THE ART .................................................... 133 THE MACHINE LEARNING METHODOLOGY .................................... 134 Locality Preserving Projections ................................. 136 LPP Algorithm........................................ 136 Supervised Locality Preserving Projections ...................... 137 LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION ...................... 138 Presetting: ..................................................... 138 Algorithm: ...................................................... 138 PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP ......................... 139 EXPERIMENTAL RESULTS ................................................ 141 CONCLUSION .......................................................... 150 NOTES ............................................................... 150 CONFLICT OF INTEREST ................................................ 151 ACKNOWLEDGEMENTS .................................................... 151 REFERENCES .......................................................... 151 CHAPTER 8 EFFICIENT DEFORMABLE 3D FACE MODEL FITTING TO MONOCULAR IMAGES ... 154 INTRODUCTION ................................................... 155 LIGHTWEIGHT FACIAL FEATURE DETECTION ........................... 159 DEFORMABLE MODEL BACKPROJECTION ................................ 165 EXPERIMENTAL RESULTS AND DISCUSSION ............................ 167 CONCLUSION ..................................................... 173 APPENDIX A: MODIFICATIONS TO CANDIDE-3 ......................... 175 NOTES .......................................................... 175 CONFLICT OF INTEREST ........................................... 176 ACKNOWLEDGMENTS ................................................ 176 REFERENCES ..................................................... 176 CHAPTER 9 FACE DETECTION USING THE THEORY OF EVIDENCE ............. 181 INTRODUCTION ................................................... 182 STATE OF THE ART .................................... THEORY OF BELIEF FUNCTIONS Mass Sets ....................................... Modeling of Mass Functions ...................... Combination of Beliefs .......................... Management of Conflict .......................... Combination Rules for Dependent Sources ......... Decision with Transferable Belief Model ......... APPLICATION TO EVIDENTIAL FACE MODEL ................ Information Sources ............................. Mass Sets for VJ Face Detector .................. Color Mass Functions ............................ Color Fusion by Cautious Rule ................... Illustrative Example ........................ Global Fusion of Color and VJ Mass Sets by Conjunctive Rule Computation of Pignistic Probabilities .......... PROBABILISTIC FACE TRACKING ......................... Estimation of El lipse Center ................... Estimation of Size and Pose ..................... Visual Servoing ................................. PERFORMANCE ANALYSIS ................................ Qualitative Evaluation .......................... Quantitative Evaluation ......................... DISCUSSION ...................................... CONFLICT OF INTEREST ................................ ACKNOWLEDGEMENTS .................................... REFERENCES ........................................... CHAPTER 10 FUZZY DISCRIMINANT ANALYSIS: CONSIDERING THE FUZZINESS IN FACIAL AGE FEATURE EXTRACTION ............................................................. 217 INTRODUCTION ............................................................. 217 CHARACTERIZATION OF THE FUZZINESS IN FACIAL AGING .......................... 219 THE FUZZY DISCRIMINATIVE MANIFOLD ANALYSIS ................................. 221 Traditional Discriminative Manifold Methods ............................. 221 Fuzzy Discriminative Analysis for Age Estimation .................... 222 EXPERIMENTAL RESULTS ....................................................... 225 A Toy Example ........................................................... 225 Facial Age Estimation Results ........................................... 227 Databases ......................................................... 227 Experimental Setting ................................................ 227 Experiments on the FGNET Database ................................... 228 Experiments on the MORPH Database ................................... 229 CONCLUSION ................................................................. 231 CONFLICT OF INTEREST ....................................................... 231 ACKNOWLEDGEMENTS ........................................................... 232 REFERENCES ................................................................. 232 CHAPTER 11 FACIAL IMAGE-BASED AGE ESTIMATION ................................... 234 INTRODUCTION .............................................................. 234 AGE ESTIMATION ALGORITHMS ................................................. 235 Input Images Preprocessing .............................................. 236 183 185 185 187 189 190 190 191 192 193 194 195 197 198 199 201 202 205 207 207 208 208 210 212 213 213 213 Feature Extraction ...................................................... 236 Distance Metric Adjustments ............................................. 237 Dimensionality Reduction ................................................ 238 Age Determination ....................................................... 238 AGE ESTIMATION FRAMEWORK AND EXPERIMENTS PEREORMED ......................... 239 EXPERIMENTAL SETTING ....................................................... 240 Datasets ................................................................ 240 Performance Scores .................................................. 242 RESULTS .................................................................... 242 CONCLUSION ................................................................. 246 CONFLICT OF INTEREST ....................................................... 247 ACKNOWLEDGEMENTS ........................................................... 247 REFERENCES ................................................................. 247 SUBJECT INDEX 251
any_adam_object	1
author2	Dornaika, Fadi
author2_role	edt
author2_variant	f d fd
author_GND	(DE-588)1103499963
author_facet	Dornaika, Fadi
building	Verbundindex
bvnumber	BV043500123
classification_rvk	ST 330
ctrlnum	(OCoLC)951733484 (DE-599)BVBBV043500123
discipline	Informatik
format	Book
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01481nam a2200349 c 4500</leader><controlfield tag="001">BV043500123</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20160624 </controlfield><controlfield tag="007">t\|</controlfield><controlfield tag="008">160407s2016 xx a\|\|\| \|\|\|\| 00\|\|\| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781681081113</subfield><subfield code="c">Druckausgabe</subfield><subfield code="9">978-1-68108-111-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)951733484</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV043500123</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-473</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Advances in Face Image Analysis - Theory and Applications</subfield><subfield code="c">edited by Fadi Dornaika, University of the Basque Country (UPV/EHU)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sharjah, U.A.E.</subfield><subfield code="b">Bentham Science Publisher</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">III, 254 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Gesicht</subfield><subfield code="0">(DE-588)4020687-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildanalyse</subfield><subfield code="0">(DE-588)4145391-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bildanalyse</subfield><subfield code="0">(DE-588)4145391-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Gesicht</subfield><subfield code="0">(DE-588)4020687-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dornaika, Fadi</subfield><subfield code="0">(DE-588)1103499963</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-68108-110-6</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Bamberg - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028916537&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028916537</subfield></datafield></record></collection>
id	DE-604.BV043500123
illustrated	Illustrated
indexdate	2024-12-20T17:37:58Z
institution	BVB
isbn	9781681081113
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-028916537
oclc_num	951733484
open_access_boolean
owner	DE-473 DE-BY-UBG
owner_facet	DE-473 DE-BY-UBG
physical	III, 254 Seiten Illustrationen, Diagramme
publishDate	2016
publishDateSearch	2016
publishDateSort	2016
publisher	Bentham Science Publisher
record_format	marc
spellingShingle	Advances in Face Image Analysis - Theory and Applications Gesicht (DE-588)4020687-7 gnd Bildanalyse (DE-588)4145391-8 gnd
subject_GND	(DE-588)4020687-7 (DE-588)4145391-8
title	Advances in Face Image Analysis - Theory and Applications
title_auth	Advances in Face Image Analysis - Theory and Applications
title_exact_search	Advances in Face Image Analysis - Theory and Applications
title_full	Advances in Face Image Analysis - Theory and Applications edited by Fadi Dornaika, University of the Basque Country (UPV/EHU)
title_fullStr	Advances in Face Image Analysis - Theory and Applications edited by Fadi Dornaika, University of the Basque Country (UPV/EHU)
title_full_unstemmed	Advances in Face Image Analysis - Theory and Applications edited by Fadi Dornaika, University of the Basque Country (UPV/EHU)
title_short	Advances in Face Image Analysis - Theory and Applications
title_sort	advances in face image analysis theory and applications
topic	Gesicht (DE-588)4020687-7 gnd Bildanalyse (DE-588)4145391-8 gnd
topic_facet	Gesicht Bildanalyse
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028916537&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT dornaikafadi advancesinfaceimageanalysistheoryandapplications

Verfügbarkeit

‌

Per Fernleihe bestellen Inhaltsverzeichnis