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Computer Vision, Imaging and Computer Graphics Theory and Applications : 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2023, Lisbon, Portugal, February 19–21, 2023, Revised Selected Papers / / edited by A. Augusto de Sousa, Thomas Bashford-Rogers, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch
Computer Vision, Imaging and Computer Graphics Theory and Applications : 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics, VISIGRAPP 2023, Lisbon, Portugal, February 19–21, 2023, Revised Selected Papers / / edited by A. Augusto de Sousa, Thomas Bashford-Rogers, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Petia Radeva, Giovanni Maria Farinella, Kadi Bouatouch
Autore de Sousa A. Augusto
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (419 pages)
Disciplina 006
Altri autori (Persone) Bashford-RogersThomas
PaljicAlexis
ZiatMounia
HurterChristophe
PurchaseHelen
RadevaPetia
FarinellaGiovanni Maria
BouatouchKadi
Collana Communications in Computer and Information Science
Soggetto topico Image processing - Digital techniques
Computer vision
Computer engineering
Computer networks
Artificial intelligence
Application software
User interfaces (Computer systems)
Human-computer interaction
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
Artificial Intelligence
Computer and Information Systems Applications
User Interfaces and Human Computer Interaction
ISBN 3-031-66743-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Analysis of Solar Radiation on Facades Using Mobile Augmented Reality -- Unified Shape Analysis and Synthesis via Deformable Voxel Grids -- Epipolar Equation Weighting for Accurate Camera Motion from Two Consecutive Frames -- Absolute ROMP Recovering Multi Person 3D Poses and Shapes with Absolute Scales from a Single RGB Image -- Semi Supervised Task Aware Image to Image Translation -- Deep Detection Dreams Enhancing Visualization Tools for Single Stage Object Detectors -- Approaches to Face Verification Through Attribute Based Attention -- Towards Fast Detection and Classification of Moving Objects -- ST SACLF Style Transfer Informed Self Attention Classifier for Bias Aware Painting Classification -- Attention to Emotions Body Emotion Recognition In The Wild Using Self Attention Transformer Network -- Linking Data Separation, Visual Separation, and Classifier Performance Using Multidimensional Projections -- Using Cockpit Interactions for Implicit Eye Tracking Calibration in a Flight Simulator -- Evaluation of Flexible Structured Light Calibration Using Circles -- GPS Enhanced RGB D IMU Calibration for Accurate Pose Estimation -- Application of Contrast Driven Color Class Assignment to Four Categorical Data Visualization Diagrams -- Measuring And Interpreting the Quality of 3D Projections of High Dimensional Data -- Visualizing Military Operations Extended Geospatial Temporal Survey.
Record Nr. UNINA-9910882886503321
de Sousa A. Augusto  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics Theory and Applications [[electronic resource] ] : 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers / / edited by A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch
Computer Vision, Imaging and Computer Graphics Theory and Applications [[electronic resource] ] : 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers / / edited by A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch
Autore de Sousa A. Augusto
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (343 pages)
Disciplina 006
Altri autori (Persone) DebattistaKurt
PaljicAlexis
ZiatMounia
HurterChristophe
PurchaseHelen
FarinellaGiovanni Maria
RadevaPetia
BouatouchKadi
Collana Communications in Computer and Information Science
Soggetto topico Image processing - Digital techniques
Computer vision
Computer engineering
Computer networks
Artificial intelligence
Application software
User interfaces (Computer systems)
Human-computer interaction
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
Artificial Intelligence
Computer and Information Systems Applications
User Interfaces and Human Computer Interaction
ISBN 3-031-45725-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Automatic Threshold RanSaC Algorithms for Pose Estimation Tasks -- 1 Introduction -- 2 RanSaC Methods -- 2.1 Notation -- 2.2 History of RanSaC Algorithms -- 3 Adaptative RanSaC Algorithms -- 4 Data Generation Methodology -- 4.1 Models and Estimators -- 4.2 Semi-artificial Data Generation Method -- 5 Benchmark and Results -- 5.1 Performance Measures -- 5.2 Parameters -- 5.3 Results -- 5.4 Analysis and Comparison -- 6 Conclusion -- References -- Semi-automated Generation of Accurate Ground-Truth for 3D Object Detection -- 1 Introduction -- 2 Related Work on 3D Object Detection -- 2.1 Techniques for Early Object Detection -- 2.2 CNN-Based 3D Object Detection -- 2.3 Conclusions on Related Work -- 3 Semi-automated 3D Dataset Generation -- 3.1 Orientation Estimation -- 3.2 3D Box Estimation -- 4 Experiments -- 4.1 Experimental Setup and Configuration -- 4.2 Evaluation 1: Annotation-Processing Chain -- 4.3 Evaluation 2: 3D Object Detector Trained on the Annotation-Processing Configurations -- 4.4 Cross-Validation on KITTI Dataset -- 4.5 Unsupervised Approach -- 5 Conclusion -- References -- A Quantitative and Qualitative Analysis on a GAN-Based Face Mask Removal on Masked Images and Videos -- 1 Introduction -- 2 Related Works -- 2.1 Inpainting -- 2.2 Face Completion -- 3 Method -- 3.1 Pix2pix-Based Inpainting -- 3.2 Custom Loss Function -- 3.3 System Overview -- 3.4 Predicting Feature Points on a Face -- 4 Experiment -- 4.1 Image Evaluation -- 4.2 Video Evaluation -- 5 Discussion -- 5.1 Quality of Generated Images -- 5.2 Discriminating Facial Expressions -- 5.3 Generating Smooth Videos -- 5.4 Additional Quantitative Analyses -- 6 Limitations -- 7 Conclusion -- References -- Dense Material Segmentation with Context-Aware Network -- 1 Introduction -- 2 Related Works -- 2.1 Material Segmentation Datasets.
2.2 Fully Convolutional Network -- 2.3 Material Segmentation with FCN -- 2.4 Global and Local Training -- 2.5 Boundary Refinement -- 2.6 Self-training -- 3 CAM-SegNet Architecture -- 3.1 Feature Sharing Connection -- 3.2 Context-Aware Dense Material Segmentation -- 3.3 Self-training Approach -- 4 CAM-SegNet Experiment Configurations -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 5 CAM-SegNet Performance Analysis -- 5.1 Quantitative Analysis -- 5.2 Qualitative Analysis -- 5.3 Ablation Study -- 6 Conclusions -- References -- Partial Alignment of Time Series for Action and Activity Prediction -- 1 Introduction -- 2 Related Work -- 3 Temporal Alignment of Action/Activity Sequences -- 3.1 Alignment Methods - Segmented Sequences -- 3.2 Alignment Methods - Unsegmented Sequences -- 3.3 Action and Activity Prediction -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Alignment-Based Prediction in Segmented Sequences -- 4.3 Alignment-Based Action Prediction in Unsegmented Sequences -- 4.4 Graph-Based Activity Prediction -- 4.5 Duration Prognosis -- 5 Conclusions -- References -- Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Trajectory Representation and Analysis -- 2.2 Deep Neural Network Optimisation -- 3 Method -- 3.1 Qualitative Feature Representation -- 3.2 Automatic Bi-LSTM Architecture Search -- 3.3 Optimal Architecture Selection -- 3.4 VNet Modelling -- 4 Vehicle Activity Datasets -- 4.1 Highway Drone Dataset -- 4.2 Traffic Dataset -- 4.3 Vehicle Obstacle Interaction Dataset -- 4.4 Next Generation Simulation Dataset -- 4.5 Combined Dataset -- 5 Experiments and Results -- 5.1 Optimal Architecture Selection -- 5.2 Evaluation of the Optimal Architecture -- 6 Discussion -- 7 Conclusion -- References.
ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data -- 1 Introduction -- 2 Related Work -- 2.1 Reconstruction and Extraction of Trajectories -- 2.2 Visual Analytics of Movement -- 3 System Overview -- 3.1 Backend and Frontend -- 4 Data -- 4.1 Database -- 4.2 Processing Pipeline -- 5 ANTENNA's Visualization -- 5.1 Tasks and Design Requirements -- 5.2 Visual Query -- 5.3 Grid Aggregation Mode -- 5.4 Road Aggregation Mode -- 6 Usage Scenarios -- 6.1 Scenario 1: Inter-Urban Movements -- 6.2 Scenario 2: Group Movements -- 7 User Testing -- 7.1 Methodology -- 7.2 Tasks -- 7.3 Results -- 8 Discussion -- 9 Conclusion -- References -- Influence of Errors on the Evaluation of Text Classification Systems -- 1 Introduction -- 2 Setup -- 2.1 Models and Dataset -- 2.2 Explanation Methods -- 2.3 Evaluation of the Models -- 2.4 System Output and Explanation Visualization -- 3 Experiment 1: Effect on the Evaluation of One System -- 3.1 Experiment Design -- 3.2 Task and Questionnaire -- 3.3 Participant Recruitment -- 3.4 Results -- 3.5 Qualitative Results -- 4 Experiment 2: Effect on the Comparison of Two Systems -- 4.1 Experiment Design -- 4.2 Task and Questionnaire -- 4.3 Participant Recruitment -- 4.4 Results -- 5 Experiment 3: Effect of the Comparison of Two Systems (Bias Error Pattern) -- 5.1 Experiment Design -- 5.2 Results -- 6 Experiment 4: Effect of Incorrect Examples (with a Different Language) -- 6.1 Experiment Design -- 6.2 Task and Questionnaire -- 6.3 Participant Recruitment -- 6.4 Translation -- 6.5 Results -- 6.6 Qualitative Results -- 7 Discussion -- 7.1 Limitations -- 8 Conclusion -- References -- Autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces -- 1 Introduction -- 2 Process of Passenger Comfort Recognition.
3 Investigation of Passenger Comfort Recognition -- 3.1 Passenger Comfort Evaluation Experiment -- 3.2 Effects of Current Situation on Comfort Recognition -- 3.3 Effects of Future Status on Comfort Recognition -- 3.4 Characteristics of Passenger Comfort Recognition -- 4 Proposal of an Autonomous Navigation Method Considering Passenger Comfort Recognition -- 4.1 Design -- 4.2 Validation -- 5 Conclusions -- References -- The Electrodermal Activity of Player Experience in Virtual Reality Games: An Extended Evaluation of the Phasic Component -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 3 Methodology -- 3.1 EDA Data Capture and Phasic Component Calculation -- 3.2 Phasic Component Analysis -- 3.3 Game Experience Analysis -- 3.4 Statistical Analyses -- 3.5 Implementation Tools -- 3.6 Ethical Considerations -- 4 Results -- 4.1 Peaks per Minute -- 4.2 Average Peak Amplitude -- 4.3 Game Experience -- 4.4 Correlation Analysis -- 5 Discussion -- 6 Conclusion and Future Work -- References -- MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage -- 1 Introduction -- 2 Related Work -- 3 Contrasting Class Gradient Information -- 3.1 Intuition -- 3.2 Definition -- 3.3 Reducing Noise by Removing Negative Contributions -- 4 Reducing Shared Information Between Classifiers -- 4.1 Counterbalancing Activation Vanishing -- 5 Experimental Setup -- 5.1 Evaluations over Architectures and Problem Domains -- 5.2 Training Procedure -- 5.3 Evaluation Metrics -- 6 Results -- 6.1 Comparison Between Architectures -- 6.2 Evaluation over Distinct Problem Domains -- 6.3 Kernel Usage Regularization -- 7 Conclusions -- References -- DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Aligned Dataset -- 3.2 Misaligned Dataset.
4 Deep Image Alignment -- 5 Architecture -- 5.1 Deep Residual Sets -- 5.2 Video Swin Transformer -- 5.3 Image Reconstruction Using Swin Transformers -- 5.4 Training -- 6 Evaluation -- 6.1 Aggregation -- 6.2 Image Reconstruction -- 6.3 Alignment and Reconstruction: -- 7 Conclusion -- References -- Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset -- 1 Introduction -- 1.1 State of the Art -- 2 Methodology -- 3 Validation and Results -- 3.1 Class Based Learning Efficiency -- 3.2 Dataset Size Growth: 1/4 Semantic-KITTI vs Full Semantic-KITTI -- 3.3 t-SNE Problem Analysis -- 4 Conclusion -- 4.1 Challenges and Future Scope -- References -- Transformers in Unsupervised Structure-from-Motion -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Monocular Unsupervised SfM -- 3.2 Architecture -- 3.3 Intrinsics -- 3.4 Appearance-Based Losses -- 4 Experiments -- 4.1 Datasets -- 4.2 Architecture -- 4.3 Implementation Details -- 4.4 Evaluation Metrics -- 4.5 Impact of Architecture -- 4.6 Generalizability -- 4.7 Auxiliary Tasks -- 4.8 Depth Estimation with Learned Camera Intrinsics -- 4.9 Efficiency -- 4.10 Comparing Performance -- 5 Conclusion -- References -- A Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area -- 1 Introduction -- 2 Previous Work -- 3 Urban Environment -- 3.1 Ground Truth -- 3.2 Image Sets -- 3.3 Urban Categorization -- 4 Experimental Setup -- 4.1 3D Reconstruction Techniques -- 4.2 Pipelines Under Study -- 4.3 Alignment -- 5 Experimental Results -- 5.1 Scene Level Evaluation -- 5.2 Urban Category Centric Evaluation -- 5.3 General Pipeline Evaluation -- 6 Conclusion -- References -- Author Index.
Record Nr. UNISA-996558568803316
de Sousa A. Augusto  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computer Vision, Imaging and Computer Graphics Theory and Applications : 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers / / edited by A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch
Computer Vision, Imaging and Computer Graphics Theory and Applications : 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers / / edited by A. Augusto de Sousa, Kurt Debattista, Alexis Paljic, Mounia Ziat, Christophe Hurter, Helen Purchase, Giovanni Maria Farinella, Petia Radeva, Kadi Bouatouch
Autore de Sousa A. Augusto
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (343 pages)
Disciplina 006
Altri autori (Persone) DebattistaKurt
PaljicAlexis
ZiatMounia
HurterChristophe
PurchaseHelen
FarinellaGiovanni Maria
RadevaPetia
BouatouchKadi
Collana Communications in Computer and Information Science
Soggetto topico Image processing - Digital techniques
Computer vision
Computer engineering
Computer networks
Artificial intelligence
Application software
User interfaces (Computer systems)
Human-computer interaction
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Engineering and Networks
Artificial Intelligence
Computer and Information Systems Applications
User Interfaces and Human Computer Interaction
ISBN 9783031457258
3031457250
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Automatic Threshold RanSaC Algorithms for Pose Estimation Tasks -- 1 Introduction -- 2 RanSaC Methods -- 2.1 Notation -- 2.2 History of RanSaC Algorithms -- 3 Adaptative RanSaC Algorithms -- 4 Data Generation Methodology -- 4.1 Models and Estimators -- 4.2 Semi-artificial Data Generation Method -- 5 Benchmark and Results -- 5.1 Performance Measures -- 5.2 Parameters -- 5.3 Results -- 5.4 Analysis and Comparison -- 6 Conclusion -- References -- Semi-automated Generation of Accurate Ground-Truth for 3D Object Detection -- 1 Introduction -- 2 Related Work on 3D Object Detection -- 2.1 Techniques for Early Object Detection -- 2.2 CNN-Based 3D Object Detection -- 2.3 Conclusions on Related Work -- 3 Semi-automated 3D Dataset Generation -- 3.1 Orientation Estimation -- 3.2 3D Box Estimation -- 4 Experiments -- 4.1 Experimental Setup and Configuration -- 4.2 Evaluation 1: Annotation-Processing Chain -- 4.3 Evaluation 2: 3D Object Detector Trained on the Annotation-Processing Configurations -- 4.4 Cross-Validation on KITTI Dataset -- 4.5 Unsupervised Approach -- 5 Conclusion -- References -- A Quantitative and Qualitative Analysis on a GAN-Based Face Mask Removal on Masked Images and Videos -- 1 Introduction -- 2 Related Works -- 2.1 Inpainting -- 2.2 Face Completion -- 3 Method -- 3.1 Pix2pix-Based Inpainting -- 3.2 Custom Loss Function -- 3.3 System Overview -- 3.4 Predicting Feature Points on a Face -- 4 Experiment -- 4.1 Image Evaluation -- 4.2 Video Evaluation -- 5 Discussion -- 5.1 Quality of Generated Images -- 5.2 Discriminating Facial Expressions -- 5.3 Generating Smooth Videos -- 5.4 Additional Quantitative Analyses -- 6 Limitations -- 7 Conclusion -- References -- Dense Material Segmentation with Context-Aware Network -- 1 Introduction -- 2 Related Works -- 2.1 Material Segmentation Datasets.
2.2 Fully Convolutional Network -- 2.3 Material Segmentation with FCN -- 2.4 Global and Local Training -- 2.5 Boundary Refinement -- 2.6 Self-training -- 3 CAM-SegNet Architecture -- 3.1 Feature Sharing Connection -- 3.2 Context-Aware Dense Material Segmentation -- 3.3 Self-training Approach -- 4 CAM-SegNet Experiment Configurations -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 5 CAM-SegNet Performance Analysis -- 5.1 Quantitative Analysis -- 5.2 Qualitative Analysis -- 5.3 Ablation Study -- 6 Conclusions -- References -- Partial Alignment of Time Series for Action and Activity Prediction -- 1 Introduction -- 2 Related Work -- 3 Temporal Alignment of Action/Activity Sequences -- 3.1 Alignment Methods - Segmented Sequences -- 3.2 Alignment Methods - Unsegmented Sequences -- 3.3 Action and Activity Prediction -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Alignment-Based Prediction in Segmented Sequences -- 4.3 Alignment-Based Action Prediction in Unsegmented Sequences -- 4.4 Graph-Based Activity Prediction -- 4.5 Duration Prognosis -- 5 Conclusions -- References -- Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Trajectory Representation and Analysis -- 2.2 Deep Neural Network Optimisation -- 3 Method -- 3.1 Qualitative Feature Representation -- 3.2 Automatic Bi-LSTM Architecture Search -- 3.3 Optimal Architecture Selection -- 3.4 VNet Modelling -- 4 Vehicle Activity Datasets -- 4.1 Highway Drone Dataset -- 4.2 Traffic Dataset -- 4.3 Vehicle Obstacle Interaction Dataset -- 4.4 Next Generation Simulation Dataset -- 4.5 Combined Dataset -- 5 Experiments and Results -- 5.1 Optimal Architecture Selection -- 5.2 Evaluation of the Optimal Architecture -- 6 Discussion -- 7 Conclusion -- References.
ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data -- 1 Introduction -- 2 Related Work -- 2.1 Reconstruction and Extraction of Trajectories -- 2.2 Visual Analytics of Movement -- 3 System Overview -- 3.1 Backend and Frontend -- 4 Data -- 4.1 Database -- 4.2 Processing Pipeline -- 5 ANTENNA's Visualization -- 5.1 Tasks and Design Requirements -- 5.2 Visual Query -- 5.3 Grid Aggregation Mode -- 5.4 Road Aggregation Mode -- 6 Usage Scenarios -- 6.1 Scenario 1: Inter-Urban Movements -- 6.2 Scenario 2: Group Movements -- 7 User Testing -- 7.1 Methodology -- 7.2 Tasks -- 7.3 Results -- 8 Discussion -- 9 Conclusion -- References -- Influence of Errors on the Evaluation of Text Classification Systems -- 1 Introduction -- 2 Setup -- 2.1 Models and Dataset -- 2.2 Explanation Methods -- 2.3 Evaluation of the Models -- 2.4 System Output and Explanation Visualization -- 3 Experiment 1: Effect on the Evaluation of One System -- 3.1 Experiment Design -- 3.2 Task and Questionnaire -- 3.3 Participant Recruitment -- 3.4 Results -- 3.5 Qualitative Results -- 4 Experiment 2: Effect on the Comparison of Two Systems -- 4.1 Experiment Design -- 4.2 Task and Questionnaire -- 4.3 Participant Recruitment -- 4.4 Results -- 5 Experiment 3: Effect of the Comparison of Two Systems (Bias Error Pattern) -- 5.1 Experiment Design -- 5.2 Results -- 6 Experiment 4: Effect of Incorrect Examples (with a Different Language) -- 6.1 Experiment Design -- 6.2 Task and Questionnaire -- 6.3 Participant Recruitment -- 6.4 Translation -- 6.5 Results -- 6.6 Qualitative Results -- 7 Discussion -- 7.1 Limitations -- 8 Conclusion -- References -- Autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces -- 1 Introduction -- 2 Process of Passenger Comfort Recognition.
3 Investigation of Passenger Comfort Recognition -- 3.1 Passenger Comfort Evaluation Experiment -- 3.2 Effects of Current Situation on Comfort Recognition -- 3.3 Effects of Future Status on Comfort Recognition -- 3.4 Characteristics of Passenger Comfort Recognition -- 4 Proposal of an Autonomous Navigation Method Considering Passenger Comfort Recognition -- 4.1 Design -- 4.2 Validation -- 5 Conclusions -- References -- The Electrodermal Activity of Player Experience in Virtual Reality Games: An Extended Evaluation of the Phasic Component -- 1 Introduction -- 2 Background -- 2.1 Related Work -- 3 Methodology -- 3.1 EDA Data Capture and Phasic Component Calculation -- 3.2 Phasic Component Analysis -- 3.3 Game Experience Analysis -- 3.4 Statistical Analyses -- 3.5 Implementation Tools -- 3.6 Ethical Considerations -- 4 Results -- 4.1 Peaks per Minute -- 4.2 Average Peak Amplitude -- 4.3 Game Experience -- 4.4 Correlation Analysis -- 5 Discussion -- 6 Conclusion and Future Work -- References -- MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage -- 1 Introduction -- 2 Related Work -- 3 Contrasting Class Gradient Information -- 3.1 Intuition -- 3.2 Definition -- 3.3 Reducing Noise by Removing Negative Contributions -- 4 Reducing Shared Information Between Classifiers -- 4.1 Counterbalancing Activation Vanishing -- 5 Experimental Setup -- 5.1 Evaluations over Architectures and Problem Domains -- 5.2 Training Procedure -- 5.3 Evaluation Metrics -- 6 Results -- 6.1 Comparison Between Architectures -- 6.2 Evaluation over Distinct Problem Domains -- 6.3 Kernel Usage Regularization -- 7 Conclusions -- References -- DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Aligned Dataset -- 3.2 Misaligned Dataset.
4 Deep Image Alignment -- 5 Architecture -- 5.1 Deep Residual Sets -- 5.2 Video Swin Transformer -- 5.3 Image Reconstruction Using Swin Transformers -- 5.4 Training -- 6 Evaluation -- 6.1 Aggregation -- 6.2 Image Reconstruction -- 6.3 Alignment and Reconstruction: -- 7 Conclusion -- References -- Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset -- 1 Introduction -- 1.1 State of the Art -- 2 Methodology -- 3 Validation and Results -- 3.1 Class Based Learning Efficiency -- 3.2 Dataset Size Growth: 1/4 Semantic-KITTI vs Full Semantic-KITTI -- 3.3 t-SNE Problem Analysis -- 4 Conclusion -- 4.1 Challenges and Future Scope -- References -- Transformers in Unsupervised Structure-from-Motion -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Monocular Unsupervised SfM -- 3.2 Architecture -- 3.3 Intrinsics -- 3.4 Appearance-Based Losses -- 4 Experiments -- 4.1 Datasets -- 4.2 Architecture -- 4.3 Implementation Details -- 4.4 Evaluation Metrics -- 4.5 Impact of Architecture -- 4.6 Generalizability -- 4.7 Auxiliary Tasks -- 4.8 Depth Estimation with Learned Camera Intrinsics -- 4.9 Efficiency -- 4.10 Comparing Performance -- 5 Conclusion -- References -- A Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area -- 1 Introduction -- 2 Previous Work -- 3 Urban Environment -- 3.1 Ground Truth -- 3.2 Image Sets -- 3.3 Urban Categorization -- 4 Experimental Setup -- 4.1 3D Reconstruction Techniques -- 4.2 Pipelines Under Study -- 4.3 Alignment -- 5 Experimental Results -- 5.1 Scene Level Evaluation -- 5.2 Urban Category Centric Evaluation -- 5.3 General Pipeline Evaluation -- 6 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910754096903321
de Sousa A. Augusto  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Diagrammatic Representation and Inference [[electronic resource] ] : 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 - August 1, 2014, Proceedings / / edited by Tim Dwyer, Helen Purchase, Aidan Delaney
Diagrammatic Representation and Inference [[electronic resource] ] : 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 - August 1, 2014, Proceedings / / edited by Tim Dwyer, Helen Purchase, Aidan Delaney
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 311 p. 107 illus.)
Disciplina 006.6
Collana Lecture Notes in Artificial Intelligence
Soggetto topico User interfaces (Computer systems)
Application software
Computer graphics
Computers and civilization
Artificial intelligence
Computer science—Mathematics
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Computer Graphics
Computers and Society
Artificial Intelligence
Discrete Mathematics in Computer Science
ISBN 3-662-44043-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Octilinear Force-Directed Layout with Mental Map Preservation for Schematic Diagrams -- Counting Crossings for Layered Hypergraphs -- Evolutionary Meta Layout of Graphs -- Seeing Around Corners: Fast Orthogonal Connector Routing -- Tennis Plots: Game, Set, and Match -- Coloured Modelling Spider Diagrams -- Graphical Representations of Context-Free Languages -- An Example Hyper Venn Proof -- Visualizing Concepts with Euler Diagrams -- Argument Mapping for Mathematics in Proof scape -- Towards a General Diagrammatic Literacy: An Approach to Thinking Critically about Diagrams -- Item Differential in Computer Based and Paper Based Versions of a High Stakes Tertiary Entrance Test: Diagrams and the Problem of Annotation -- Students’ Spontaneous Use of Diagrams in Written Communication Understanding Variations According to Purpose and Cognitive Cost Entailed -- How Communicative Learning Situations Influence Students’ Use of Diagrams: Focusing on Spontaneous Diagram Construction and Protocols during Explanation -- Evaluating the Impact of Clutter in Euler Diagrams -- The Impact of Shape on the Perception of Euler Diagrams -- Alternative Strategies in Processing 3D Objects Diagrams: Static, Animated and Interactive Presentation of a Mental Rotation Test in an Eye Movements Cued Retrospective Study -- Visualizing Sets: An Empirical Comparison of Diagram Types -- Recognising, Knowing and Naming: Can Object Picture Processing Models Accommodate Non-Picture Visuals? -- Exploring the Effects of Colouring Graph Diagrams on People of Various Backgrounds -- An Empirical Study of Diagrammatic Inference Process by Recording the Moving Operation of Diagrams -- Neural Mechanisms of Global Reading -- The Relationship between Aristotelian and Hasse Diagrams -- A Graphical Representation of Boolean Logic -- The Barwise-Seligman Model of Representation Systems: A Philosophical Explication -- Logical and Geometrical Complementarities between Aristotelian Diagrams -- Logical Investigation of Reasoning with Tables -- A Framework for Heterogeneous Reasoning in Formal and Informal Domains -- The Second Venn Diagrammatic System -- Diagrammatically Explaining Peircean Abduction.
Record Nr. UNISA-996198259803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Diagrammatic Representation and Inference : 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 - August 1, 2014, Proceedings / / edited by Tim Dwyer, Helen Purchase, Aidan Delaney
Diagrammatic Representation and Inference : 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 - August 1, 2014, Proceedings / / edited by Tim Dwyer, Helen Purchase, Aidan Delaney
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVIII, 311 p. 107 illus.)
Disciplina 006.6
Collana Lecture Notes in Artificial Intelligence
Soggetto topico User interfaces (Computer systems)
Application software
Computer graphics
Computers and civilization
Artificial intelligence
Computer science—Mathematics
User Interfaces and Human Computer Interaction
Information Systems Applications (incl. Internet)
Computer Graphics
Computers and Society
Artificial Intelligence
Discrete Mathematics in Computer Science
ISBN 3-662-44043-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Octilinear Force-Directed Layout with Mental Map Preservation for Schematic Diagrams -- Counting Crossings for Layered Hypergraphs -- Evolutionary Meta Layout of Graphs -- Seeing Around Corners: Fast Orthogonal Connector Routing -- Tennis Plots: Game, Set, and Match -- Coloured Modelling Spider Diagrams -- Graphical Representations of Context-Free Languages -- An Example Hyper Venn Proof -- Visualizing Concepts with Euler Diagrams -- Argument Mapping for Mathematics in Proof scape -- Towards a General Diagrammatic Literacy: An Approach to Thinking Critically about Diagrams -- Item Differential in Computer Based and Paper Based Versions of a High Stakes Tertiary Entrance Test: Diagrams and the Problem of Annotation -- Students’ Spontaneous Use of Diagrams in Written Communication Understanding Variations According to Purpose and Cognitive Cost Entailed -- How Communicative Learning Situations Influence Students’ Use of Diagrams: Focusing on Spontaneous Diagram Construction and Protocols during Explanation -- Evaluating the Impact of Clutter in Euler Diagrams -- The Impact of Shape on the Perception of Euler Diagrams -- Alternative Strategies in Processing 3D Objects Diagrams: Static, Animated and Interactive Presentation of a Mental Rotation Test in an Eye Movements Cued Retrospective Study -- Visualizing Sets: An Empirical Comparison of Diagram Types -- Recognising, Knowing and Naming: Can Object Picture Processing Models Accommodate Non-Picture Visuals? -- Exploring the Effects of Colouring Graph Diagrams on People of Various Backgrounds -- An Empirical Study of Diagrammatic Inference Process by Recording the Moving Operation of Diagrams -- Neural Mechanisms of Global Reading -- The Relationship between Aristotelian and Hasse Diagrams -- A Graphical Representation of Boolean Logic -- The Barwise-Seligman Model of Representation Systems: A Philosophical Explication -- Logical and Geometrical Complementarities between Aristotelian Diagrams -- Logical Investigation of Reasoning with Tables -- A Framework for Heterogeneous Reasoning in Formal and Informal Domains -- The Second Venn Diagrammatic System -- Diagrammatically Explaining Peircean Abduction.
Record Nr. UNINA-9910484213703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments [[electronic resource] ] : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions / / edited by Daniel Archambault, Helen Purchase, Tobias Hoßfeld
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments [[electronic resource] ] : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions / / edited by Daniel Archambault, Helen Purchase, Tobias Hoßfeld
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (VII, 191 p. 15 illus.)
Disciplina 005.437
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Computer communication systems
Application software
Economic theory
User Interfaces and Human Computer Interaction
Computer Communication Networks
Information Systems Applications (incl. Internet)
Economic Theory/Quantitative Economics/Mathematical Methods
ISBN 3-319-66435-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Crowdsourcing Versus the Laboratory: Towards Human-centered Experiments Using the Crowd -- Understanding The Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing -- Crowdsourcing Technology to Support Academic Research -- Crowdsourcing for Information Visualization: Promises and Pitfalls -- Cognitive Information Theories of Psychology and Applications with Visualization and HCI through Crowdsourcing Platforms -- Crowdsourcing Quality of Experience Experiments.
Record Nr. UNISA-996465974103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions / / edited by Daniel Archambault, Helen Purchase, Tobias Hoßfeld
Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments : Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions / / edited by Daniel Archambault, Helen Purchase, Tobias Hoßfeld
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (VII, 191 p. 15 illus.)
Disciplina 005.437
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico User interfaces (Computer systems)
Computer networks
Application software
Economics
User Interfaces and Human Computer Interaction
Computer Communication Networks
Information Systems Applications (incl. Internet)
Economic Theory/Quantitative Economics/Mathematical Methods
ISBN 3-319-66435-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Crowdsourcing Versus the Laboratory: Towards Human-centered Experiments Using the Crowd -- Understanding The Crowd: Ethical and Practical Matters in the Academic Use of Crowdsourcing -- Crowdsourcing Technology to Support Academic Research -- Crowdsourcing for Information Visualization: Promises and Pitfalls -- Cognitive Information Theories of Psychology and Applications with Visualization and HCI through Crowdsourcing Platforms -- Crowdsourcing Quality of Experience Experiments.
Record Nr. UNINA-9910483571703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate Network Visualization [[electronic resource] ] : Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions / / edited by Andreas Kerren, Helen Purchase, Matthew O. Ward
Multivariate Network Visualization [[electronic resource] ] : Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions / / edited by Andreas Kerren, Helen Purchase, Matthew O. Ward
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVI, 237 p. 73 illus.)
Disciplina 006.6
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Computer science—Mathematics
Data mining
Algorithms
Computers
Computer Applications
Discrete Mathematics in Computer Science
Data Mining and Knowledge Discovery
Algorithm Analysis and Problem Complexity
Information Systems and Communication Service
ISBN 3-319-06793-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Multivariate Network Visualization -- Multivariate Networks in Software Engineering.- Multivariate Social Network Visual Analytics -- Multivariate Networks in the Life Sciences.- Tasks for Multivariate Network Analysis.- Interaction in the Visualization of Multivariate Networks.- Novel Visual Metaphors for Multivariate Networks.- Temporal Multivariate Networks -- Heterogeneous Networks on Multiple Levels.- Scalability Considerations for Multivariate Graph Visualization.
Record Nr. UNISA-996203618103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Multivariate Network Visualization : Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions / / edited by Andreas Kerren, Helen Purchase, Matthew O. Ward
Multivariate Network Visualization : Dagstuhl Seminar # 13201, Dagstuhl Castle, Germany, May 12-17, 2013, Revised Discussions / / edited by Andreas Kerren, Helen Purchase, Matthew O. Ward
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XVI, 237 p. 73 illus.)
Disciplina 006.6
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Computer science—Mathematics
Data mining
Algorithms
Computers
Computer Applications
Discrete Mathematics in Computer Science
Data Mining and Knowledge Discovery
Algorithm Analysis and Problem Complexity
Information Systems and Communication Service
ISBN 3-319-06793-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Multivariate Network Visualization -- Multivariate Networks in Software Engineering.- Multivariate Social Network Visual Analytics -- Multivariate Networks in the Life Sciences.- Tasks for Multivariate Network Analysis.- Interaction in the Visualization of Multivariate Networks.- Novel Visual Metaphors for Multivariate Networks.- Temporal Multivariate Networks -- Heterogeneous Networks on Multiple Levels.- Scalability Considerations for Multivariate Graph Visualization.
Record Nr. UNINA-9910483307003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui