Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
2006 Biometrics Symposium : Special Session on Research at the Biometric Consortium Conference
| 2006 Biometrics Symposium : Special Session on Research at the Biometric Consortium Conference |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 006.4 |
| Soggetto topico |
Biometric identification
Human face recognition (Computer science) |
| ISBN | 1-5090-9608-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2006 Biometrics Symposium
High Performance Computing and Communications 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference |
| Record Nr. | UNISA-996278331803316 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2006 Biometrics Symposium : Special Session on Research at the Biometric Consortium Conference
| 2006 Biometrics Symposium : Special Session on Research at the Biometric Consortium Conference |
| Pubbl/distr/stampa | IEEE |
| Disciplina | 006.4 |
| Soggetto topico |
Biometric identification
Human face recognition (Computer science) |
| ISBN | 1-5090-9608-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
2006 Biometrics Symposium
High Performance Computing and Communications 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference |
| Record Nr. | UNINA-9910142996603321 |
| IEEE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2008 Biometrics Symposium
| 2008 Biometrics Symposium |
| Pubbl/distr/stampa | [Place of publication not identified], : I E E E, 2008 |
| Descrizione fisica | 1 online resource (88 pages) : illustrations |
| Disciplina | 006.248 |
| Soggetto topico |
Biometric identification
Human face recognition (Computer science) |
| ISBN |
1-5090-7892-4
1-4244-2567-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996204846403316 |
| [Place of publication not identified], : I E E E, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2008 Biometrics Symposium
| 2008 Biometrics Symposium |
| Pubbl/distr/stampa | [Place of publication not identified], : I E E E, 2008 |
| Descrizione fisica | 1 online resource (88 pages) : illustrations |
| Disciplina | 006.248 |
| Soggetto topico |
Biometric identification
Human face recognition (Computer science) |
| ISBN |
1-5090-7892-4
1-4244-2567-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910145370303321 |
| [Place of publication not identified], : I E E E, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D face modeling, analysis, and recognition [[electronic resource] /] / Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp
| 3D face modeling, analysis, and recognition [[electronic resource] /] / Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp |
| Autore | Daoudi Mohamed <1964-> |
| Pubbl/distr/stampa | Singapore, : Wiley, 2013 |
| Descrizione fisica | 1 online resource (221 p.) |
| Disciplina | 006.6/93 |
| Altri autori (Persone) |
SrivastavaAnuj <1968->
VeltkampRemco C. <1963-> |
| Soggetto topico |
Face - Computer simulation
Human face recognition (Computer science) Three-dimensional imaging |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-59263-8
1-118-59265-4 1-118-59264-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
3D FACE MODELING, ANALYSIS AND RECOGNITION; Contents; Preface; List of Contributors; 1 3D Face Modeling; 1.1 Challenges and Taxonomy of Techniques; 1.2 Background; 1.2.1 Depth from Triangulation; 1.2.2 Shape from Shading; 1.2.3 Depth from Time of Flight (ToF); 1.3 Static 3D Face Modeling; 1.3.1 Laser-stripe Scanning; 1.3.2 Time-coded Structured Light; 1.3.3 Multiview Static Reconstruction; 1.4 Dynamic 3D Face Reconstruction; 1.4.1 Multiview Dynamic Reconstruction; 1.4.2 Photometric Stereo; 1.4.3 Structured Light; 1.4.4 Spacetime Faces; 1.4.5 Template-based Post-processing
1.5 Summary and ConclusionsExercises; References; 2 3D Face Surface Analysis and Recognition Based on Facial Surface Features; 2.1 Geometry of 3D Facial Surface; 2.1.1 Primary 3D Surface Representations; 2.1.2 Rigid 3D Transformations; 2.1.3 Decimation of 3D Surfaces; 2.1.4 Geometric and Topological Aspects of the Human Face; 2.2 Curvatures Extraction from 3D Face Surface; 2.2.1 Theoretical Concepts on 3D Curvatures; 2.2.2 Practical Curvature Extraction Methods; 2.3 3D Face Segmentation; 2.3.1 Curvature-based 3D Face Segmentation; 2.3.2 Bilateral Profile-based 3D Face Segmentation 2.4 3D Face Surface Feature Extraction and Matching2.4.1 Holistic 3D Facial Features; 2.4.2 Regional 3D Facial Features; 2.4.3 Point 3D Facial Features; 2.5 Deformation Modeling of 3D Face Surface; Exercises; References; 3 3D Face Surface Analysis and Recognition Based on Facial Curves; 3.1 Introduction; 3.2 Facial Surface Modeling; 3.3 Parametric Representation of Curves; 3.4 Facial Shape Representation Using Radial Curves; 3.5 Shape Space of Open Curves; 3.5.1 Shape Representation; 3.5.2 Geometry of Preshape Space; 3.5.3 Reparametrization Estimation by Using Dynamic Programming 3.5.4 Extension to Facial Surfaces Shape Analysis3.6 The Dense Scalar Field (DSF); 3.7 Statistical Shape Analysis; 3.7.1 Statistics on Manifolds: Karcher Mean; 3.7.2 Learning Statistical Models in Shape Space; 3.8 Applications of Statistical Shape Analysis; 3.8.1 3D Face Restoration; 3.8.2 Hierarchical Organization of Facial Shapes; 3.9 The Iso-geodesic Stripes; 3.9.1 Extraction of Facial Stripes; 3.9.2 Computing Relationships between Facial Stripes; 3.9.3 Face Representation and Matching Using Iso-geodesic Stripes; Exercises; Glossary; References 4 3D Morphable Models for Face Surface Analysis and Recognition4.1 Introduction; 4.2 Data Sets; 4.3 Face Model Fitting; 4.3.1 Distance Measure; 4.3.2 Iterative Face Fitting; 4.3.3 Coarse Fitting; 4.3.4 Fine Fitting; 4.3.5 Multiple Components; 4.3.6 Results; 4.4 Dynamic Model Expansion; 4.4.1 Bootstrapping Algorithm; 4.4.2 Results; 4.5 Face Matching; 4.5.1 Comparison; 4.5.2 Results; 4.6 Concluding Remarks; Exercises; References; 5 Applications; 5.1 Introduction; 5.2 3D Face Databases; 5.3 3D Face Recognition; 5.3.1 Challenges of 3D Face Recognition; 5.3.2 3D Face Recognition: State of the Art 5.3.3 Partial Face Matching |
| Record Nr. | UNINA-9910141725603321 |
Daoudi Mohamed <1964->
|
||
| Singapore, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D face modeling, analysis, and recognition [[electronic resource] /] / Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp
| 3D face modeling, analysis, and recognition [[electronic resource] /] / Mohamed Daoudi, Anuj Srivastava, Remco Veltkamp |
| Autore | Daoudi Mohamed <1964-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore, : Wiley, 2013 |
| Descrizione fisica | 1 online resource (221 p.) |
| Disciplina | 006.6/93 |
| Altri autori (Persone) |
SrivastavaAnuj <1968->
VeltkampRemco C. <1963-> |
| Soggetto topico |
Face - Computer simulation
Human face recognition (Computer science) Three-dimensional imaging |
| ISBN |
1-118-59263-8
1-118-59265-4 1-118-59264-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
3D FACE MODELING, ANALYSIS AND RECOGNITION; Contents; Preface; List of Contributors; 1 3D Face Modeling; 1.1 Challenges and Taxonomy of Techniques; 1.2 Background; 1.2.1 Depth from Triangulation; 1.2.2 Shape from Shading; 1.2.3 Depth from Time of Flight (ToF); 1.3 Static 3D Face Modeling; 1.3.1 Laser-stripe Scanning; 1.3.2 Time-coded Structured Light; 1.3.3 Multiview Static Reconstruction; 1.4 Dynamic 3D Face Reconstruction; 1.4.1 Multiview Dynamic Reconstruction; 1.4.2 Photometric Stereo; 1.4.3 Structured Light; 1.4.4 Spacetime Faces; 1.4.5 Template-based Post-processing
1.5 Summary and ConclusionsExercises; References; 2 3D Face Surface Analysis and Recognition Based on Facial Surface Features; 2.1 Geometry of 3D Facial Surface; 2.1.1 Primary 3D Surface Representations; 2.1.2 Rigid 3D Transformations; 2.1.3 Decimation of 3D Surfaces; 2.1.4 Geometric and Topological Aspects of the Human Face; 2.2 Curvatures Extraction from 3D Face Surface; 2.2.1 Theoretical Concepts on 3D Curvatures; 2.2.2 Practical Curvature Extraction Methods; 2.3 3D Face Segmentation; 2.3.1 Curvature-based 3D Face Segmentation; 2.3.2 Bilateral Profile-based 3D Face Segmentation 2.4 3D Face Surface Feature Extraction and Matching2.4.1 Holistic 3D Facial Features; 2.4.2 Regional 3D Facial Features; 2.4.3 Point 3D Facial Features; 2.5 Deformation Modeling of 3D Face Surface; Exercises; References; 3 3D Face Surface Analysis and Recognition Based on Facial Curves; 3.1 Introduction; 3.2 Facial Surface Modeling; 3.3 Parametric Representation of Curves; 3.4 Facial Shape Representation Using Radial Curves; 3.5 Shape Space of Open Curves; 3.5.1 Shape Representation; 3.5.2 Geometry of Preshape Space; 3.5.3 Reparametrization Estimation by Using Dynamic Programming 3.5.4 Extension to Facial Surfaces Shape Analysis3.6 The Dense Scalar Field (DSF); 3.7 Statistical Shape Analysis; 3.7.1 Statistics on Manifolds: Karcher Mean; 3.7.2 Learning Statistical Models in Shape Space; 3.8 Applications of Statistical Shape Analysis; 3.8.1 3D Face Restoration; 3.8.2 Hierarchical Organization of Facial Shapes; 3.9 The Iso-geodesic Stripes; 3.9.1 Extraction of Facial Stripes; 3.9.2 Computing Relationships between Facial Stripes; 3.9.3 Face Representation and Matching Using Iso-geodesic Stripes; Exercises; Glossary; References 4 3D Morphable Models for Face Surface Analysis and Recognition4.1 Introduction; 4.2 Data Sets; 4.3 Face Model Fitting; 4.3.1 Distance Measure; 4.3.2 Iterative Face Fitting; 4.3.3 Coarse Fitting; 4.3.4 Fine Fitting; 4.3.5 Multiple Components; 4.3.6 Results; 4.4 Dynamic Model Expansion; 4.4.1 Bootstrapping Algorithm; 4.4.2 Results; 4.5 Face Matching; 4.5.1 Comparison; 4.5.2 Results; 4.6 Concluding Remarks; Exercises; References; 5 Applications; 5.1 Introduction; 5.2 3D Face Databases; 5.3 3D Face Recognition; 5.3.1 Challenges of 3D Face Recognition; 5.3.2 3D Face Recognition: State of the Art 5.3.3 Partial Face Matching |
| Record Nr. | UNINA-9910826537403321 |
|
Daoudi Mohamed <1964->
|
||
| Singapore, : Wiley, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others]
| Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others] |
| Pubbl/distr/stampa | Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 006.37 |
| Soggetto topico | Human face recognition (Computer science) |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-68108-110-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; FOREWORD ; PREFACE ; LIST OF CONTRIBUTORS ; Facial Expression Classification Based on Convolutional Neural Networks ; INTRODUCTION; Convolutional Neural Networks; Facial Expression Analysis; GRADIENT-BASED LEARNING FOR CNNS; FEATURE GENERALIZATION; EXPERIMENTS; Datasets; CK-Regianini Dataset; CK-Zheng Dataset; CMU-Pittsburgh dataset ; Experiments on CNN-based Facial Expression Classification; Design; Results and Analysis; Experiments on Feature Generalization; Design; Results and Analysis; DISCUSSION; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES
Sparsity Preserving Projection Based Constrained Graph Embedding and Its Application to Face Recognition INTRODUCTION; RELATED WORK; Locality Preserving Projection; Neighborhood Preserving Embedding; Sparsity Preserving Projection; Constrained Graph Embedding; SPP BASED CONSTRAINED GRAPH EMBEDDING; SPP-CGE; Out-of-Sample Extension; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Face Recognition Using Exponential Local Discriminant Embedding ; INTRODUCTION; Contribution and Related Work; REVIEW OF LOCAL DISCRIMINANT EMBEDDING (LDE) Intrinsic Graph and Penalty GraphOptimal Mapping; The Small Sample Size Problem; EXPONENTIAL LDE; Matrix Exponential; Exponential LDE; THEORETICAL ANALYSIS OF ELDE; Solving the SSS Problem; Distance Diffusion Mapping; PERFORMANCE EVALUATION; Face Databases; Recognition Accuracy; Comparison between Regularized LDE and ELDE; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Adaptive Locality Preserving Projections for Face Recognition ; INTRODUCTION; LOCALITY PRESERVING PROJECTIONS; ENHANCED AND PARAMETERLESS LPP; PERFORMANCE EVALUATION; Face Databases; Experimental Results Performance Comparison for OLPP and SLPPCONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Face Recognition Using 3D Face Rectification ; INTRODUCTION; PROPOSED METHOD ; FACE DATABASE ; PREPROCESSING ; FACIAL FEATURE DETECTION ; POSE ESTIMATION; IRAD Contours; Ellipse Fitting And Roll Correction; Yaw Correction; Pitch Correction; Accuracy Of The Pose Estimation Method; ROTATION AND POST PROCESSING; EXPERIMENTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; 3D Face Recognition ; INTRODUCTION; 3D FACE ACQUISITION; 3D FACE REPRESENTATION; PREPROCESSING 3D FACE ALIGNMENTFACE RECOGNITION; CONCLUDING REMARKS; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Model-Less 3D Face Pose Estimation ; INTRODUCTION; STATE OF THE ART; THE MACHINE LEARNING METHODOLOGY; Locality Preserving Projections; LPP Algorithm; Supervised Locality Preserving Projections; LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION; Presetting:; Algorithm:; PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Efficient Deformable 3D Face Model Fitting to Monocular Images ; INTRODUCTION LIGHTWEIGHT FACIAL FEATURE DETECTION |
| Record Nr. | UNINA-9910466257303321 |
| Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others]
| Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others] |
| Pubbl/distr/stampa | Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 006.37 |
| Soggetto topico | Human face recognition (Computer science) |
| ISBN | 1-68108-110-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; FOREWORD ; PREFACE ; LIST OF CONTRIBUTORS ; Facial Expression Classification Based on Convolutional Neural Networks ; INTRODUCTION; Convolutional Neural Networks; Facial Expression Analysis; GRADIENT-BASED LEARNING FOR CNNS; FEATURE GENERALIZATION; EXPERIMENTS; Datasets; CK-Regianini Dataset; CK-Zheng Dataset; CMU-Pittsburgh dataset ; Experiments on CNN-based Facial Expression Classification; Design; Results and Analysis; Experiments on Feature Generalization; Design; Results and Analysis; DISCUSSION; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES
Sparsity Preserving Projection Based Constrained Graph Embedding and Its Application to Face Recognition INTRODUCTION; RELATED WORK; Locality Preserving Projection; Neighborhood Preserving Embedding; Sparsity Preserving Projection; Constrained Graph Embedding; SPP BASED CONSTRAINED GRAPH EMBEDDING; SPP-CGE; Out-of-Sample Extension; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Face Recognition Using Exponential Local Discriminant Embedding ; INTRODUCTION; Contribution and Related Work; REVIEW OF LOCAL DISCRIMINANT EMBEDDING (LDE) Intrinsic Graph and Penalty GraphOptimal Mapping; The Small Sample Size Problem; EXPONENTIAL LDE; Matrix Exponential; Exponential LDE; THEORETICAL ANALYSIS OF ELDE; Solving the SSS Problem; Distance Diffusion Mapping; PERFORMANCE EVALUATION; Face Databases; Recognition Accuracy; Comparison between Regularized LDE and ELDE; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Adaptive Locality Preserving Projections for Face Recognition ; INTRODUCTION; LOCALITY PRESERVING PROJECTIONS; ENHANCED AND PARAMETERLESS LPP; PERFORMANCE EVALUATION; Face Databases; Experimental Results Performance Comparison for OLPP and SLPPCONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Face Recognition Using 3D Face Rectification ; INTRODUCTION; PROPOSED METHOD ; FACE DATABASE ; PREPROCESSING ; FACIAL FEATURE DETECTION ; POSE ESTIMATION; IRAD Contours; Ellipse Fitting And Roll Correction; Yaw Correction; Pitch Correction; Accuracy Of The Pose Estimation Method; ROTATION AND POST PROCESSING; EXPERIMENTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; 3D Face Recognition ; INTRODUCTION; 3D FACE ACQUISITION; 3D FACE REPRESENTATION; PREPROCESSING 3D FACE ALIGNMENTFACE RECOGNITION; CONCLUDING REMARKS; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Model-Less 3D Face Pose Estimation ; INTRODUCTION; STATE OF THE ART; THE MACHINE LEARNING METHODOLOGY; Locality Preserving Projections; LPP Algorithm; Supervised Locality Preserving Projections; LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION; Presetting:; Algorithm:; PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Efficient Deformable 3D Face Model Fitting to Monocular Images ; INTRODUCTION LIGHTWEIGHT FACIAL FEATURE DETECTION |
| Record Nr. | UNINA-9910798288903321 |
| Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others]
| Advances in face image analysis : theory and application / / edited by Fadi Dornaika ; contributors Ammar Assoum [and fifteen others] |
| Pubbl/distr/stampa | Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 006.37 |
| Soggetto topico | Human face recognition (Computer science) |
| ISBN | 1-68108-110-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; FOREWORD ; PREFACE ; LIST OF CONTRIBUTORS ; Facial Expression Classification Based on Convolutional Neural Networks ; INTRODUCTION; Convolutional Neural Networks; Facial Expression Analysis; GRADIENT-BASED LEARNING FOR CNNS; FEATURE GENERALIZATION; EXPERIMENTS; Datasets; CK-Regianini Dataset; CK-Zheng Dataset; CMU-Pittsburgh dataset ; Experiments on CNN-based Facial Expression Classification; Design; Results and Analysis; Experiments on Feature Generalization; Design; Results and Analysis; DISCUSSION; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES
Sparsity Preserving Projection Based Constrained Graph Embedding and Its Application to Face Recognition INTRODUCTION; RELATED WORK; Locality Preserving Projection; Neighborhood Preserving Embedding; Sparsity Preserving Projection; Constrained Graph Embedding; SPP BASED CONSTRAINED GRAPH EMBEDDING; SPP-CGE; Out-of-Sample Extension; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Face Recognition Using Exponential Local Discriminant Embedding ; INTRODUCTION; Contribution and Related Work; REVIEW OF LOCAL DISCRIMINANT EMBEDDING (LDE) Intrinsic Graph and Penalty GraphOptimal Mapping; The Small Sample Size Problem; EXPONENTIAL LDE; Matrix Exponential; Exponential LDE; THEORETICAL ANALYSIS OF ELDE; Solving the SSS Problem; Distance Diffusion Mapping; PERFORMANCE EVALUATION; Face Databases; Recognition Accuracy; Comparison between Regularized LDE and ELDE; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Adaptive Locality Preserving Projections for Face Recognition ; INTRODUCTION; LOCALITY PRESERVING PROJECTIONS; ENHANCED AND PARAMETERLESS LPP; PERFORMANCE EVALUATION; Face Databases; Experimental Results Performance Comparison for OLPP and SLPPCONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; Face Recognition Using 3D Face Rectification ; INTRODUCTION; PROPOSED METHOD ; FACE DATABASE ; PREPROCESSING ; FACIAL FEATURE DETECTION ; POSE ESTIMATION; IRAD Contours; Ellipse Fitting And Roll Correction; Yaw Correction; Pitch Correction; Accuracy Of The Pose Estimation Method; ROTATION AND POST PROCESSING; EXPERIMENTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGMENTS; REFERENCES; 3D Face Recognition ; INTRODUCTION; 3D FACE ACQUISITION; 3D FACE REPRESENTATION; PREPROCESSING 3D FACE ALIGNMENTFACE RECOGNITION; CONCLUDING REMARKS; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Model-Less 3D Face Pose Estimation ; INTRODUCTION; STATE OF THE ART; THE MACHINE LEARNING METHODOLOGY; Locality Preserving Projections; LPP Algorithm; Supervised Locality Preserving Projections; LABEL-SENSITIVE LOCALITY PRESERVING PROJECTION; Presetting:; Algorithm:; PROPOSED APPROACH: SPARSE GRAPH BASED LSLPP; EXPERIMENTAL RESULTS; CONCLUSION; NOTES; CONFLICT OF INTEREST; ACKNOWLEDGEMENTS; REFERENCES; Efficient Deformable 3D Face Model Fitting to Monocular Images ; INTRODUCTION LIGHTWEIGHT FACIAL FEATURE DETECTION |
| Record Nr. | UNINA-9910822436603321 |
| Sharjah, United Arab Emirates : , : Bentham Science Publishers, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An approach to feature-based face recognition [[electronic resource] /] / Michael J. Vrabel
| An approach to feature-based face recognition [[electronic resource] /] / Michael J. Vrabel |
| Autore | Vrabel Michael J |
| Pubbl/distr/stampa | Adelphi, MD : , : Army Research Laboratory, , [2000] |
| Descrizione fisica | 1 online resource (iv, 40 pages) : digital, PDF file |
| Collana | ARL/TR |
| Soggetto topico | Human face recognition (Computer science) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910699697503321 |
|
Vrabel Michael J
|
||
| Adelphi, MD : , : Army Research Laboratory, , [2000] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
