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Human recognition in unconstrained environments : using computer vision, pattern recognition and machine learning methods for biometrics / / [edited by] Maria De Marsico, Michele Nappi, Hugo Pedro Proença
| Human recognition in unconstrained environments : using computer vision, pattern recognition and machine learning methods for biometrics / / [edited by] Maria De Marsico, Michele Nappi, Hugo Pedro Proença |
| Autore | De Marsico Maria |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, United Kingdom : , : Academic Press, , [2017] |
| Descrizione fisica | 1 online resource (1 volume) : illustrations |
| Disciplina | 006.248 |
| Soggetto topico |
Biometric identification
Computer vision Pattern recognition systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Human Recognition in Unconstrained Environments -- Copyright -- Contents -- Contributors -- Editor Biographies -- Foreword -- 1 Unconstrained Data Acquisition Frameworks and Protocols -- 1.1 Introduction -- 1.2 Unconstrained Biometric Data Acquisition Modalities -- 1.3 Typical Challenges -- 1.3.1 Optical Constraints -- 1.3.2 Non-comprehensive View of the Scene -- 1.3.3 Out-of-Focus -- 1.3.4 Calibration of Multi-camera Systems -- 1.4 Unconstrained Biometric Data Acquisition Systems -- 1.4.1 Low Resolutions Systems -- 1.4.2 PTZ-Based Systems -- 1.4.3 Face -- 1.5 Conclusions -- References -- 2 Face Recognition Using an Outdoor Camera Network -- 2.1 Introduction -- 2.2 Taxonomy of Camera Networks -- 2.2.1 Static Camera Networks -- 2.2.2 Active Camera Networks -- 2.2.3 Characteristics of Camera Networks -- 2.3 Face Association in Camera Networks -- 2.3.1 Face-to-Face Association -- 2.3.2 Face-to-Person Association -- 2.4 Face Recognition in Outdoor Environment -- 2.4.1 Robust Descriptors for Face Recognition -- 2.4.2 Video-Based Face Recognition -- 2.4.3 Multi-view and 3D Face Recognition -- 2.4.4 Face Recognition with Context Information -- 2.4.5 Incremental Learning of Face Recognition -- 2.5 Outdoor Camera Systems -- 2.5.1 Static Camera Approach -- 2.5.2 Single PTZ Camera Approach -- 2.5.3 Master and Slave Camera Approach -- 2.5.4 Distributed Active Camera Networks -- 2.6 Remaining Challenges and Emerging Techniques -- 2.7 Conclusions -- References -- 3 Real Time 3D Face-Ear Recognition on Mobile Devices: New Scenarios for 3D Biometrics "in-the-Wild -- 3.1 Introduction -- 3.2 3D Capture of Face and Ear: CURRENT Methods and Suitable Options -- 3.2.1 Laser Scanners -- 3.2.2 Structured Light Scanners -- 3.2.3 Stereophotogrammetry -- 3.3 Mobile Devices for Ubiquitous Face-Ear Recognition.
3.4 The Next Step: Mobile Devices for 3D Sensing Aiming at 3D Biometric Applications -- 3.5 Conclusions and Future Scenarios -- References -- 4 A Multiscale Sequential Fusion Approach for Handling Pupil Dilation in Iris Recognition -- 4.1 Introduction -- 4.1.1 Pupil Dilation -- 4.1.2 Layout -- 4.2 Previous Work -- 4.2.1 Pupil Dilation -- 4.2.2 Bit Matching -- 4.3 WVU Pupil Light Re ex (PLR) Dataset -- 4.4 Impact of Pupil Dilation -- 4.5 Proposed Method -- 4.5.1 IrisCode Generation -- 4.5.2 Typical IrisCode Matcher -- 4.5.3 Multi- lter Matching Patterns -- 4.5.4 Proposed IrisCode Matcher -- 4.6 Experimental Results -- 4.7 Conclusions and Future Work -- References -- 5 Iris Recognition on Mobile Devices Using Near-Infrared Images -- 5.1 Introduction -- 5.2 Preprocessing -- 5.3 Feature Analysis -- 5.4 Multimodal Biometrics -- 5.5 Conclusions -- References -- 6 Fingerphoto Authentication Using Smartphone Camera Captured Under Varying Environmental Conditions -- 6.1 Introduction -- 6.2 Literature Survey -- 6.3 IIITD SmartPhone Fingerphoto Database v1 -- 6.3.1 Set 1: Background Variation -- 6.3.2 Set 2: Illumination Variation -- 6.3.3 Set 3: Live-Scan Fingerprints -- 6.4 Proposed Fingerphoto Matching Algorithm -- 6.4.1 Fingerphoto Segmentation -- 6.4.2 Fingerphoto Enhancement (Enh#1) -- 6.4.3 LBP Based Enhancement (Enh#2) -- 6.4.4 Scattering Network Based Feature Representation -- 6.4.5 Matching Techniques -- 6.5 Experimental Results -- 6.5.1 Performance of the Proposed Matching Pipeline -- 6.5.2 Comparison of Matching Algorithms -- 6.5.3 Comparison of Distance Metrics -- 6.5.4 Effect of Enhancement -- 6.6 Conclusion -- 6.7 Future Work -- Acknowledgements -- References -- 7 Soft Biometric Attributes in the Wild: Case Study on Gender Classi cation -- 7.1 Introduction -- 7.2 Biometrics in the Wild -- 7.3 Gender Classi cation in the Wild -- 7.3.1 Datasets. 7.3.2 Proposals Summary -- 7.3.3 Discussion -- 7.4 Conclusions -- References -- 8 Gait Recognition: The Wearable Solution -- 8.1 Machine Vision Approach -- 8.2 Floor Sensor Approach -- 8.3 Wearable Sensor Approach -- 8.3.1 The Accelerometer Sensor -- 8.4 Datasets Available for Experiments -- 8.5 An Example of a Complete System for Gait Recognition -- 8.6 Conclusions -- References -- 9 Biometric Authentication to Access Controlled Areas Through Eye Tracking -- 9.1 Introduction -- 9.2 ATM-Like Solutions -- 9.3 Methods Based on Fixation and Scanpath Analysis -- 9.4 Methods Based on Eye/Gaze Velocity -- 9.5 Methods Based on Pupil Size -- 9.6 Methods Based on Oculomotor Features -- 9.7 Methods Based on Head Orientation -- 9.8 Conclusions -- References -- 10 Noncooperative Biometrics: Cross-Jurisdictional Concerns -- 10.1 Introduction -- 10.2 Biometrics for Implementing Biometric Surveillance -- 10.3 Reaction to Public Opinion -- 10.3.1 Geopolitical Context -- 10.3.2 Technological Skills -- 10.3.3 Proportionality -- 10.3.4 A Particular Operational Framework -- 10.4 The Early Days -- 10.4.1 Commercial Context -- 10.4.2 Historical Context -- 10.4.3 Social Context, the Newham and Ybor City Experiments -- 10.5 An Interesting Clue (2007) -- 10.6 Biometric Surveillance Today -- 10.6.1 Increased Perception of Insecurity -- 10.6.2 Getting Used to the Erosion of Privacy -- 10.6.3 Increase of Mobility -- 10.7 Conclusions -- References -- Index -- Back Cover. |
| Record Nr. | UNINA-9910583060803321 |
De Marsico Maria
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| London, United Kingdom : , : Academic Press, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition applications and methods : 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, virtual event, February 4-6, 2021 and February 3-5, 2022, revised selected papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern recognition applications and methods : 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, virtual event, February 4-6, 2021 and February 3-5, 2022, revised selected papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (185 pages) |
| Disciplina | 410 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Pattern perception |
| ISBN | 3-031-24538-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods Reduced Precision Research of a GAN Image Generation Use-case -- Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks -- Retinotopic Image Encoding by Samples of Counts -- Gesture Recognition and Multi-Modal Fusion on a New Hand Gesture Dataset -- Adaptive Sampling for Weighted Log-rank Survival Trees Boosting -- Applications Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities using Time-series Analysis during Transient System States -- Exploiting Temporal Coherence to Improve Person Re-identification -- Perusal of Camera Trap Sequences across Locations. |
| Record Nr. | UNISA-996508669903316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition Applications and Methods : 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, Virtual Event, February 4–6, 2021 and February 3–5, 2022, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods : 10th International Conference, ICPRAM 2021, and 11th International Conference, ICPRAM 2022, Virtual Event, February 4–6, 2021 and February 3–5, 2022, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (185 pages) |
| Disciplina |
410
006.4 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Pattern recognition systems
Machine learning Computer engineering Computer networks Application software Automated Pattern Recognition Machine Learning Computer Engineering and Networks Computer and Information Systems Applications |
| ISBN | 3-031-24538-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods Reduced Precision Research of a GAN Image Generation Use-case -- Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks -- Retinotopic Image Encoding by Samples of Counts -- Gesture Recognition and Multi-Modal Fusion on a New Hand Gesture Dataset -- Adaptive Sampling for Weighted Log-rank Survival Trees Boosting -- Applications Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities using Time-series Analysis during Transient System States -- Exploiting Temporal Coherence to Improve Person Re-identification -- Perusal of Camera Trap Sequences across Locations. |
| Record Nr. | UNINA-9910647396103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition Applications and Methods [[electronic resource] ] : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods [[electronic resource] ] : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 159 p. 132 illus., 53 illus. in color.) |
| Disciplina | 001.534 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Machine learning Computer communication systems Mathematical statistics Computers Pattern Recognition Image Processing and Computer Vision Machine Learning Computer Communication Networks Probability and Statistics in Computer Science Information Systems and Communication Service |
| ISBN | 3-030-40014-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods -- Applications -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Fuzzy Logic -- Multi-agent Learning -- Natural Language Processing -- Information retrieval -- Web Applications Image-based Modelling. |
| Record Nr. | UNISA-996418204903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern recognition applications and methods : 9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors)
| Pattern recognition applications and methods : 9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 139 p. 46 illus., 41 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico | Pattern perception |
| ISBN | 3-030-66125-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | End to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. |
| Record Nr. | UNINA-9910447247403321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern recognition applications and methods : 9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors)
| Pattern recognition applications and methods : 9th international conference, ICPRAM 2020, Valletta, Malta, February 22-24, 2020 : revised selected papers / / Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 139 p. 46 illus., 41 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico | Pattern perception |
| ISBN | 3-030-66125-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | End to End Deep Neural Network Classifier Design for Universal Sign Recognition -- MaskADNet: MOTS based on ADNet -- Dimensionality Reduction and Attention Mechanisms for Extracting -- Efficient Radial Distortion Correction for Planar Motion -- Comparison of algorithms for Tree-top detection in Drone image mosaics of Japanese Mixed Forests -- Investigating Similarity Metrics for Convolutional Neural Networks in the Case of Unstructured Pruning -- Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. |
| Record Nr. | UNISA-996418314303316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods : 8th International Conference, ICPRAM 2019, Prague, Czech Republic, February 19-21, 2019, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 159 p. 132 illus., 53 illus. in color.) |
| Disciplina |
001.534
006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Machine learning Computer communication systems Mathematical statistics Computers Pattern Recognition Image Processing and Computer Vision Machine Learning Computer Communication Networks Probability and Statistics in Computer Science Information Systems and Communication Service |
| ISBN | 3-030-40014-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods -- Applications -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Fuzzy Logic -- Multi-agent Learning -- Natural Language Processing -- Information retrieval -- Web Applications Image-based Modelling. |
| Record Nr. | UNINA-9910373927303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition Applications and Methods [[electronic resource] ] : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods [[electronic resource] ] : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 203 p. 151 illus., 92 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Machine learning Pattern Recognition Image Processing and Computer Vision Machine Learning |
| ISBN | 3-030-05499-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling. |
| Record Nr. | UNISA-996466471403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Pattern Recognition Applications and Methods : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods : 7th International Conference, ICPRAM 2018, Funchal, Madeira, Portugal, January 16-18, 2018, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 203 p. 151 illus., 92 illus. in color.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Machine learning Pattern Recognition Image Processing and Computer Vision Machine Learning |
| ISBN | 3-030-05499-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory and Methods -- Applications -- Pattern Recognition -- Bayesian Models -- Gaussian Processes -- Neural Networks -- Web Applications Image-Based Modelling. |
| Record Nr. | UNINA-9910337574403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Pattern Recognition Applications and Methods [[electronic resource] ] : 6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
| Pattern Recognition Applications and Methods [[electronic resource] ] : 6th International Conference, ICPRAM 2017, Porto, Portugal, February 24–26, 2017, Revised Selected Papers / / edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 235 p. 108 illus.) |
| Disciplina | 006.4 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer communication systems Numerical analysis Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Communication Networks Numeric Computing |
| ISBN | 3-319-93647-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Control Variates as a Variance Reduction Technique for Random Projections -- Graph Classification with Mapping Distance Graph Kernels -- Domain Adaptation Transfer Learning by Kernel Representation Adaptation -- Optimal Linear Imputation with a Convergence Guarantee -- Condensing Deep Fisher Vectors: To Choose or to Compress? -- Emotion Recognition using Neighborhood Components Analysis and ECG/HRV-based Features -- A Conversive Hidden non-Markovian Model Approach for 2D and 3D Online Movement Trajectory Verification -- Prediction of User Interest by Predicting Product Text Reviews -- Blood Vessel Delineation in Endoscopic Images With Deep Learning -- Semi-Automated Testing of an Architectural Floor Plan Retrieval Framework: Quantitative and Qualitative Comparison of Semantic Pattern-based Matching Approaches -- Characterization of a Virtual Glove for Hand Rehabilitation based on Orthogonal LEAP Controllers -- Congestion Analysis Across Locations based on Wi-Fi Signal Sensing -- Text Line Segmentation in Handwritten Documents based on Connected Components Trajectory Generation. |
| Record Nr. | UNISA-996465787103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
