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2010 IEEE International 3D Systems Integration Conference
| 2010 IEEE International 3D Systems Integration Conference |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2011 |
| Soggetto topico | Visualització tridimensional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 1-4577-0527-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996205198803316 |
| [Place of publication not identified], : IEEE, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2010 IEEE International 3D Systems Integration Conference
| 2010 IEEE International 3D Systems Integration Conference |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2011 |
| Soggetto topico | Visualització tridimensional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9781457705274
1457705273 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910141142303321 |
| [Place of publication not identified], : IEEE, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
2011 IEEE Symposium on 3D User Interfaces
| 2011 IEEE Symposium on 3D User Interfaces |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2011 |
| Descrizione fisica | 1 online resource (x, 142 pages) : illustrations |
| Disciplina | 621.367 |
| Soggetto topico |
Three-dimensional display systems
Interfícies d'usuari (Sistemes d'ordinadors) Visualització tridimensional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 1-4577-0064-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996205198603316 |
| [Place of publication not identified], : IEEE, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
2011 IEEE Symposium on 3D User Interfaces
| 2011 IEEE Symposium on 3D User Interfaces |
| Pubbl/distr/stampa | [Place of publication not identified], : IEEE, 2011 |
| Descrizione fisica | 1 online resource (x, 142 pages) : illustrations |
| Disciplina | 621.367 |
| Soggetto topico |
Three-dimensional display systems
Interfícies d'usuari (Sistemes d'ordinadors) Visualització tridimensional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9781457700644
1457700646 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910141142203321 |
| [Place of publication not identified], : IEEE, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D diagnosis and treatment planning in orthodontics : an atlas for the clinician / / Jean-Marc Retrouvey, Mohamed-Nur Abdallah, editors
| 3D diagnosis and treatment planning in orthodontics : an atlas for the clinician / / Jean-Marc Retrouvey, Mohamed-Nur Abdallah, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 322 p. 329 illus., 307 illus. in color.) |
| Disciplina | 617.643 |
| Soggetto topico |
Orthodontics - Diagnosis
Three-dimensional imaging in medicine Orthodontics Ortodòncia Diagnòstic per la imatge Visualització tridimensional |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-57223-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Techniques Used in Orthodontic Diagnosis: Orthodontic Examination with Paperless Charting -- Dental Photography for Orthodontic Diagnosis -- 2D Radiographs for Growth Monitoring and Orthodontic Adjustment -- Cone Beam Imaging for Orthodontic Diagnosis -- Intra-Oral Scanning for Orthodontic Diagnosis -- TMD and Imaging Techniques applied in Orthodontic Diagnosis. Indications, Applications, and Planning Based on Imaging Techniques: Craniofacial Complex Reconstruction Using Fusion of Cone Beam and Intra-Oral Data -- 3D Occlusogram for Orthodontic Treatment Planning -- 3D Surgical Planning for Orthognathic Surgery -- 3D-Supported, Proactive Diagnosis, and Treatment Planning for Orthodontic Therapy -- 3D Treatment Simulations for Orthodontic and Orthognathic Surgery -- 3D Printing of Dental Casts -- Orthodontic Sleep Apnea Diagnosis. |
| Record Nr. | UNINA-9910484389903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D imaging technologies -- multidimensional signal processing and deep learning . Volume 2 : methods, algorithms and applications / / Lakhmi C. Jain, Roumen Kountchev, Yonghang Tai, editors
| 3D imaging technologies -- multidimensional signal processing and deep learning . Volume 2 : methods, algorithms and applications / / Lakhmi C. Jain, Roumen Kountchev, Yonghang Tai, editors |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (318 pages) |
| Disciplina | 621.367 |
| Collana | Smart innovation, systems, and technologies |
| Soggetto topico |
Three-dimensional imaging
Visualització tridimensional Processament d'imatges Tecnologia de la informació Sistemes informàtics |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-3180-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Spectral Reflectance Reconstruction Based on Weighted Root Polynomial -- 1 Introduction -- 2 Model and Method -- 3 Experiments -- 3.1 Experimental Data Acquisition -- 3.2 Evaluation Standard -- 3.3 Experimental Results and Discussion -- 4 Conclusion -- References -- A Drawing of Digital Printing Gamut Map -- 1 Introduction -- 2 Method -- 2.1 Main Contents of the Project -- 2.2 Purpose of the Experiment -- 2.3 Experimental Equipment -- 2.4 Experimental Steps -- 2.5 Data Processing and 3D Convex Hull Surface Graph -- 3 Results and Discussion -- 4 Conclusions -- References -- An Improved Contour Feature Extraction Method for the Image Butterfly Specimen -- 1 Introduction -- 2 Materials and Methods -- 2.1 Butterfly Species -- 2.2 Feature Selection -- 2.3 The Process of Feature Extraction -- 2.4 The Improved of HoMSC Feature -- 3 Result -- 4 Discussion -- References -- An Improved Neural Network Based on UNet for Surface Defect Segmentation -- 1 Introduction -- 2 S-UNet -- 2.1 UNet -- 2.2 ASPP -- 3 Experimental Evaluation -- 3.1 Datasets -- 3.2 Performance Measurement -- 3.3 Experimental Setup -- 3.4 Data Augmentation -- 4 Conclusion -- References -- A Preliminary Study on the Segmentation Algorithm of Dongba Scripture -- 1 Introduction -- 2 An Automatic Segmentation Algorithm Based on Recursive Polytomy -- 2.1 The Recursive Polytomy Algorithm Based on Projection -- 2.2 The Improvement of Recursive Polytomy Algorithm -- 3 Test -- 3.1 Accuracy Test -- 3.2 Robustness Test -- 4 Conclusion -- References -- Flower Gender Recognition Based on YOLO V4 -- 1 Introduction -- 2 Outline of YOLO V4 Algorithm -- 3 Our Works -- 3.1 Experimental Platform -- 3.2 Experimental Operation -- 4 Results and Discussion -- 5 Summary -- References -- Feature Understanding Based on Deconvolution Visualization.
1 Introduction -- 2 Principle of Deconvolution Visualization -- 3 Understanding of Deconvolution Visualization -- 3.1 Selection of Network Structure and Dataset -- 3.2 Effectiveness Analysis of Deconvolution Visualization -- 4 Conclusion -- References -- Research on Resource Demand Prediction and Optimal Allocation Method in Cloud Computing Environment -- 1 Cloud Resource Load Feature Extraction and Classification -- 2 Supervised Clustering Algorithm of Resource Load Characteristics Based on Kernel Fuzzy C-Means (KFCM) -- 3 Algorithm Verification -- 4 Conclusion -- References -- Research on Incentive Effect of Tax Preference on Enterprise Innovation Based on DEA Model -- 1 Theoretical Research on Tax Incentive Policy -- 1.1 Theoretical Research on Incentive Policies -- 1.2 Theoretical Research on Enterprise Innovation Performance -- 2 DEA Model of the Influence of Tax Incentive Policy on Enterprise Innovation Performance -- 2.1 Tax Incentives Affect Innovation Performance DEA Model -- 2.2 Research Hypothesis -- 3 Strategies of Promoting Innovation Tax Incentive Policy in China -- 3.1 Policy Utilization -- 3.2 Policy Implementation -- 4 Conclusion -- References -- The Development Path of China's Social Security Helping Rural Poverty Alleviation Based on Multi-dimensional Integration Model -- 1 The Seriousness of Rural Poverty -- 2 Distribution of Poverty-Stricken Areas -- 2.1 Distribution of Concentrated Contiguous Poverty-Stricken Areas -- 2.2 Multi-dimensional Poverty Identification Model -- 2.3 Distribution of Key Poverty-Stricken Counties in the Area -- 2.4 Analysis of Poverty-Stricken Villages in Xiaojin County -- 3 Countermeasures -- 4 Conclusion -- References -- Sensitivity Analysis of NVH Structure of Car Body Based on Modal Analysis -- 1 Modal Analysis -- 1.1 Finite Element Modal Analysis of Car Body Structure. 1.2 Finite Element Modal Analysis of Acoustic Cavity -- 1.3 Modal Analysis of Acoustic-Solid Coupling -- 2 Sound Pressure Response Analysis -- 3 Structural Sensitivity Analysis -- 4 Conclusion -- References -- Research on the Design of Nutrition and Sports Health Management System Based on Artificial Intelligence -- 1 Questions -- 2 Personalized Sports Management -- 3 The Necessity of Personalized Sports Health Management Service in the Era of Artificial Intelligence -- 3.1 Intelligent Products Provide Scientific Data for Personalized Sports and Health Management Services -- 3.2 Intelligent Stadiums Optimize the Sports Environment for Personalized Sports and Health Management -- 4 Design of Personalized Sports and Health Management Service System in the Era of Artificial Intelligence -- 4.1 Design Ideas of Artificial Intelligence + Personalized Sports Management Service System -- 4.2 Operation Process of Artificial Intelligence + Personalized Sports Management Service System -- 4.3 Design of Artificial Intelligence + Personalized Sports Management Service Management Stage -- 5 Implementation Path of Personalized Sports and Health Management Services in the Era of Artificial Intelligence -- 5.1 Implementation Path of Self-Help Sports and Health Service Based on Family or Hospital -- 5.2 Implementation Path of Physical Education and Health Management Service Based on Schools -- 5.3 Implementation Path of Individualized Sports and Health Management Service Based on Community -- 6 Conclusion -- References -- Research on English Word Intelligent Learning System Based on Mobile Education Concept -- 1 Introduction -- 2 System Analysis and Design -- 3 System Implementation -- 4 Conclusion -- References -- Research on the Application of Big Data Analysis in English Language Education -- 1 Introduction -- 2 Method -- 3 Empirical Analysis -- 4 Conclusion. References -- CFD Analysis of Droplet Diffusion in Negative Pressure Ward -- 1 Introduction -- 2 The Physical Model -- 2.1 Physical Model of the Ward -- 2.2 Droplet Model -- 2.3 Breathing Model -- 2.4 Physical Model Simplification -- 3 The Governing Equation -- 3.1 Governing Equation of k-ε Model in Gas Phase -- 3.2 Particle Phase Control Equation: -- 4 Numerical Simulation Results and Analysis -- 4.1 Validation -- 4.2 Analysis of Concentration Distribution of Droplets with Different Particle Sizes -- 4.3 Adhesion Locations of Droplets with Different Particle Sizes -- 4.4 Discharge Effect of Droplets with Different Particle Sizes -- 5 Conclusion -- References -- Research on Cognitive Analysis Method of Command Mechanism Based on Operational Data Flow Motifs -- 1 Introduction -- 2 Multidimensional View Model of Combat System -- 2.1 Combat Data View -- 2.2 Command Mechanism View -- 2.3 Operational View -- 3 Analysis Method of Command Mechanism Based on ODFM -- 3.1 Basic Ideas and Related Concepts -- 3.2 Construction of Operational Data Flow Motifs -- 4 Basic Assumption of the Construction of Command Mechanism -- 4.1 Intelligence Warning Mechanism Should Highlight "Intelligent Cognition" -- 4.2 Command and Control Mechanism Should Highlight "Intelligent Control" -- 4.3 The Combat Coordination Mechanism Should Highlight "Intelligent Coordination" -- 5 Conclusion -- References -- Confirmatory Factor Analysis of Place Attachment in Agritourism -- 1 Introduction -- 2 Measurement Index of Place Attachment -- 3 Questionnaire Design -- 4 Data Analysis -- 5 Research Results and Conclusions -- References -- Application of Computer Sensor and Detection Technology in Mechatronics -- 1 Research Status of Motor Fault Diagnosis -- 2 Motor Fault Type -- 2.1 Bearing Failure -- 2.2 Inter-Turn Short Circuit Fault -- 2.3 Rotor Bar Breaking Fault -- 3 Conclusion. References -- Establishment of Smart Customer Service System Based on Data Mining -- 1 Introduction -- 2 Methodology -- 3 Evaluation and Analysis -- 4 Conclusion -- References -- Application and Development of Natural Language Processing Service in Intelligent Customer Service System -- 1 Introduction -- 2 Methodology -- 3 Evaluation and Analysis -- 4 Conclusion -- References -- Research on University Network Ecological Governance Based on Block Chain Technology -- 1 Introduction -- 1.1 Concept of Network Ecology -- 1.2 Review of the Previous Research on University Network Ecological Governance -- 1.3 Generation and Development of Block Chain Technology -- 1.4 Current Application of Block Chain Technology -- 2 Implementation Path of University Network Ecological Governance Based on Block Chain Technology -- 2.1 Research on the Current Situation of University Network Ecology in the New Era -- 2.2 Research on the Optimization Path of University Network Ecological Governance -- 2.3 Recognition of Block Chain Technology -- 2.4 Construction of University Network Ecological Governance Model Based on Block Chain Technology -- 2.5 Practice of University Network Ecological Governance Model Based on Block Chain Technology -- 3 Outlook -- References -- Research on Informatization Construction of University Laboratory Under the Background of New Infrastructure -- 1 Proposal of New Infrastructure Concepts -- 2 Current Situation of Laboratory Information Construction in Colleges and Universities -- 2.1 There are Many Business Systems, and the Information of Materials and Equipment Cannot Be Shared -- 2.2 The Investment in Information Construction is Insufficient -- 2.3 The User Interaction Experience is not Strong -- 2.4 The Informatization Level of Managers is Uneven -- 3 Innovation Path of University Laboratory Information Construction. 3.1 The Angle of Laboratory Construction. |
| Record Nr. | UNINA-9910495158903321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning : Mathematical Approaches and Applications, Volume 1 / / Lakhmi C. Jain, Roumen Kountchev, Junsheng Shi
| 3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning : Mathematical Approaches and Applications, Volume 1 / / Lakhmi C. Jain, Roumen Kountchev, Junsheng Shi |
| Autore | Jain Lakhmi C |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (341 pages) |
| Disciplina | 006.693 |
| Altri autori (Persone) |
KountchevRoumen
ShiJunsheng |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Visualització tridimensional
Infografia Processament digital de senyals |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9789811633911
9811633916 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- A Study of Digital Camera Spectral Reconstruction Based on BP Neural Networks and Polynomial Expansions -- 1 Introduction -- 2 Reflectance Reconstruction Based on Expansion of Response Value of Color Digital Camera -- 2.1 Response Value Expansion Method -- 2.2 Spectral Reconstruction Evaluation -- 3 Experimental Equipment and Environmental Conditions -- 4 Experimental Results and Analysis -- 4.1 Polynomial Expansion Result -- 4.2 Comparison of Different Reconstruction Methods -- 5 Conclusion -- References -- Research Status of Motor Imagery EEG Signal Based on Deep Learning -- 1 Introduction -- 2 Application of Deep Learning Algorithm in MI -- 2.1 CNN Applied to Motion Imagination -- 2.2 DBN Applied to Motion Imagination -- 3 Discussion -- 4 Conclusion -- References -- Image Recognition Based on Super-Resolution Wasserstein Generative Adversarial Nets with Gradient Penalty -- 1 Introduction -- 2 Related Work -- 2.1 Generative Adversarial Nets -- 2.2 Super-Resolution Generative Adversarial Nets -- 2.3 Wasserstein Generative Adversarial Nets with Gradient Penalty -- 3 Super-Resolution Wasserstein Generative Adversarial Nets with Gradient Penalty -- 3.1 Generator Architecture of the SRGAN-GP -- 3.2 Discriminator Architecture of the SRGAN-GP -- 3.3 Loss Function of SRWGAN-GP -- 3.4 Image Recognition -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Overview of SAR Image Change Detection -- 1 Introduction -- 2 Research Contents and Methods of SAR Image Change Detection -- 2.1 Image Preprocessing -- 2.2 Difference Image Generation -- 2.3 Difference Image Analysis -- 2.4 Accuracy Test Index -- 3 Change Detection Results and Accuracy Evaluation of Some Typical Methods -- 4 Expectation -- References -- Overview of SAR Image Denoising Based on Transform Domain -- 1 Introduction.
2 Speckle Model -- 3 SAR Image Denoising Algorithm Based on Transform Domain -- 3.1 Denoising Algorithm Based on Wavelet Transform -- 3.2 Denoising Algorithm Based on Multi-scale Analysis -- 4 Denoising Performance Parameters -- 4.1 Peak Signal-To-Noise Ratio (PSNR) -- 4.2 Equivalent Sight Number (ENL) -- 4.3 Edge Retention Index (EPI) -- 5 Simulation of the Typical Denoising Algorithm -- 6 Summary and Outlook -- References -- CRF-ERSVM: An Effective and Robust Support Vector Machine Based on Complete Random Forest -- 1 Introduction -- 2 Theoretical Background -- 2.1 CRF -- 2.2 SVM -- 3 CRF-ERSVM Model -- 3.1 CRF-ERSVM Framework -- 3.2 Improved CRF -- 3.3 Improved SVM -- 4 Experiments -- 4.1 UCI Datasets -- 4.2 Effectiveness -- 5 Conclusion -- References -- Overview of Speckle Noise Suppression Methods in SAR Image Based on NLM -- 1 Introduction -- 2 Classic-NLM Filtering -- 3 NLM Filtering Based on Mean Ratio -- 4 NLM Based on Structural Similarity Index and Gradient -- 5 NLM Based on Bilateral Filtering -- 6 Evaluation Index -- 7 Experimental Results and Analysis -- 8 Conclusion and Prospect -- References -- Overview of SAR Image Feature Extraction and Target Recognition -- 1 Introduction -- 2 SAR Image Target Recognition Process -- 3 Methods of SAR Image Feature Extraction and Target Recognition -- 3.1 Feature Extraction Methods Based on Optical or Visual Image Characteristics -- 3.2 Feature Extraction Methods Based on Statistical Analysis or Mathematical Transformation -- 3.3 Feature Extraction Methods of Scattering Mechanism Angle Based on Clear Physical Meaning -- 3.4 Feature Extraction Methods Based on Deep Learning -- 4 Simulation Results of Some Typical Methods -- 5 Difficulties and Prospects -- References -- Art Design Pattern Generation Method Based on 3D Fractal -- 1 Introduction. 2 Fractal Theory and the Generation Method of Fractal Graphics -- 3 3D Pattern Design -- 4 Conclusions -- References -- Research on Cooperative Production Planning Method Based on Factor Analysis and BP Neural Network Model -- 1 Research Ideas -- 2 Research Methods -- 3 Model Building -- 3.1 Construction of BP Neural Network in Industrial Cigarette Sales Forecast Model -- 3.2 Input and Output Enterprise Factor Analysis Modeling -- 4 The Application and Improvement Direction of the Model -- References -- Appearance Defect Detection of Injection Parts Based on Deep Learning -- 1 Introduction -- 2 Selection of Image Acquisition Equipment -- 2.1 Selection of Camera and Lens -- 2.2 The Selection and Scheme of Light Source -- 3 Image Preprocessing -- 3.1 Common Defects of Injection Parts -- 3.2 Data Set Expansion -- 3.3 Image Enhancement -- 4 Fundamentals of Convolutional Neural Networks -- 4.1 Convolutional Neural Network -- 5 Appearance Defect Recognition of Injection Parts Based on Convolutional Neural Network -- 5.1 Comparative Analysis of Classical Convolutional Neural Networks -- 5.2 A Structural Model of Convolutional Neural Network for Appearance Defect Detection of Injection Molded Parts -- 5.3 A Training Method for Defect Recognition in Convolutional Neural Networks -- 5.4 The Evaluation Index -- 5.5 Model Hyperparameter Selection -- 5.6 Comparative Experiment and Analysis with Common Classical Networks -- 6 Conclusion -- References -- Thresholding Method for the Sonar Image of a Seabed Target Based on Two-Dimensional Renyi's Entropy -- 1 Introduction -- 2 Dual-Threshold Method Based on Two-Dimensional Renyi's Entropy -- 3 Thresholding Results of the Sonar Image of a Seabed Target -- 3.1 Introduction to the Sonar Image of a Seabed Target -- 3.2 Thresholding Steps and Results of the Sonar Image of a Seabed Target -- 4 Conclusion -- References. Noise Reduction in Sonar Images of Seabed Targets Based on a Variational Method -- 1 Introduction -- 2 Improved Variational Method for Image Noise Reduction -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Sonar Image Segmentation of Seabed Targets Using a Variational Approach -- 1 Introduction -- 2 Improved Model for Image Segmentation -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Balance the Robustness and Invisibility of Digital Watermarking by Image Entropy in Multiple Domains -- 1 Introduction -- 2 The Proposed Scheme -- 2.1 Watermark Embedding -- 2.2 Watermark Extraction -- 3 Experiments -- 4 Conclusion -- References -- Research Progress of Electrical Resistance Tomography -- 1 Introduction -- 2 Research Work of This Article -- 3 ERT Research Status -- 3.1 Applied Research Aspects of ERT -- 3.2 ERT's Image Reconstruction Unit -- 3.3 ERT's Sensor Unit -- 3.4 Conductive Concrete -- 4 Conclusion -- References -- Research on Low-Resolution Image Matching and Recognition Algorithm Based on Unified Feature Space -- 1 Establishment of Low-Resolution Image Data Sets -- 2 Super-Resolution Method Based on Sparse Representation -- 3 Algorithm Based on Two-Layer Coupled Space Mapping -- 4 To Summarize -- 5 Conclusion -- References -- Research on Realistic Representation Technology in Virtual Environment -- 1 Research on 3D Entity Modeling Technology -- 2 Principles of Computer 3D Modeling -- 2.1 Table of Priority Algorithms -- 2.2 Texture Mapping Algorithm -- 3 Computer 3D Modeling Technology -- 3.1 Application of Texture Technology in Modeling Process -- 3.2 Application of Detail Level Model in the Modeling Process -- 4 Conclusion -- References -- Intelligent Customer Service Operation Management System Solution Based on Intelligent Voice Analysis -- 1 Introduction -- 2 Methodology. 3 System Implementation -- 4 Conclusion -- References -- Research on Car Seat Comfort Evaluation System Based on Chinese Population -- 1 Introduction -- 2 Seat Comfort Evaluation System -- 3 Theory and Method of Static Comfort Evaluation -- 3.1 Subjective Evaluation -- 3.2 Objective Evaluation -- 4 Theory and Method of Dynamic Comfort Evaluation -- 4.1 Subjective Evaluation -- 4.2 Objective Evaluation -- 5 Based on the Comfort Evaluation Verification of Chinese Population -- 5.1 Implementation of Comfort Evaluation -- 5.2 Construction of Seat Comfort Analysis System Database -- 6 Conclusions -- References -- Research on Building Extraction from High-Resolution Remote Sensing Image Based on Improved U-Net -- 1 Introduction -- 2 Algorithm Introduction -- 2.1 Introduction to U-Net Model Architecture -- 2.2 Pyramid Pooling Module -- 2.3 Segmentation Model Based on Improved U-Net -- 3 Experiment and Result Analysis -- 3.1 Data Set and Its Preprocessing -- 3.2 Model Training -- 3.3 Result Analysis -- 4 Conclusion -- References -- A Survey of Image Classification Algorithms Based on Graph Neural Networks -- 1 Introduction -- 2 Related Works -- 2.1 Graph Neural Network -- 2.2 Classification of Neural Networks -- 3 A Survey of Image Classification Algorithms Based on Graph Neural Networks -- 3.1 The Algorithm Based on Supervised Learning -- 3.2 The Algorithm Based on Unsupervised Graph Neural Network -- 3.3 The Algorithm of Semi-Supervised Graph Neural Networks -- 3.4 The Algorithm of Weakly Supervised Graph Neural Networks -- 4 Conclusions -- References -- An Improved Method of Non-local Means Denoising Based on Histogram -- 1 Introduction -- 2 Non-Local Means Denoising Algorithm -- 3 Algorithm in This Paper -- 4 Evaluation Index -- 5 Experimental Results and Analysis -- 6 Conclusion -- References. Short-Term Traffic Volume Prediction Based on Gray Wolf Optimization Algorithm. |
| Record Nr. | UNINA-9910502982103321 |
Jain Lakhmi C
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan
| 3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan |
| Autore | Mukundan Ramakrishnan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (209 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional modeling
Computer animation Visualització tridimensional Animació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030813543
9783030813536 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910552734603321 |
|
Mukundan Ramakrishnan
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan
| 3D mesh processing and character animation : with examples using OpenGL, OpenMesh and Assimp / / Ramakrishnan Mukundan |
| Autore | Mukundan Ramakrishnan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (209 pages) |
| Disciplina | 006.693 |
| Soggetto topico |
Three-dimensional modeling
Computer animation Visualització tridimensional Animació per ordinador |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030813543
9783030813536 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464450903316 |
|
Mukundan Ramakrishnan
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Biomedical visualisation . Volume 11 / / Paul Rea, editor
| Biomedical visualisation . Volume 11 / / Paul Rea, editor |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (350 pages) |
| Disciplina | 610.28 |
| Collana | Advances in experimental medicine and biology |
| Soggetto topico |
Biomedical engineering
Biotechnology Computer vision Enginyeria biomèdica Imatges mèdiques Visualització tridimensional Biotecnologia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030877798
9783030877781 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgements -- About the Book -- Contents -- Editor and Contributors -- 1: Creating Interactive Three-Dimensional Applications to Visualise Novel Stent Grafts That Aid in the Treatment of Aortic Ane... -- 1.1 Introduction -- 1.2 Background -- 1.2.1 Aortic Aneurysm Background -- 1.2.1.1 Thoracic Aortic Aneurysms -- 1.2.1.2 Abdominal Aortic Aneurysms -- 1.2.2 Surgical Interventions for AAAs and TAAs -- 1.2.2.1 Open Surgical Repair and Endovascular Aneurysm Repair of AAAs -- 1.2.2.2 Open Surgical Repair and Endovascular Aneurysm Repair of TAAs -- 1.2.3 Potential of Medical Visualisations for Surgical Techniques -- 1.2.3.1 Imaging Modalities in a Healthcare Setting -- 1.2.3.2 Public Engagement for Medical Visualisation -- 1.3 Methods -- 1.3.1 Conceptual Development (Storyboard/Outline) -- 1.3.2 Digital 3D Content Production -- 1.3.2.1 Segmentation of the Aorta, Kidneys and Associated Vessels -- 1.3.2.2 Bifrost Visual Programming -- 1.3.2.2.1 Voxel Volume Remeshing Using Bifrost Graph Editor -- 1.3.2.3 Retopology and Sculpting -- 1.3.2.4 Modelling of the Heart -- 1.3.2.5 Modelling of Relay Endograft -- 1.3.2.6 Modelling of Fenestrated Anaconda Endograft -- 1.3.2.6.1 Wires and Stitching of Stent Graft -- 1.3.2.6.2 Stitches and Fine Details of Graft -- 1.3.2.6.3 Additional Stent Body Models -- 1.3.2.6.4 Deployment Devices -- 1.3.2.7 Texturing in Substance Painter -- 1.3.2.8 Informational Animations -- 1.3.2.8.1 Animations for the Fenestrated Anaconda Stent Graft -- 1.3.2.8.2 Animations for the Proximal Relay Stent Graft -- 1.3.2.8.3 Red Blood Cell Flow Animations -- 1.3.2.8.4 Post Processing -- 1.3.2.9 Application Development -- 1.3.2.9.1 Home Screen -- 1.3.2.9.2 Features Section -- 1.3.2.9.3 Clinical Performance and Deployment Sections -- 1.4 Results.
1.4.1 Outcomes from Evaluating the Finished Application with Clinical Professionals -- 1.5 Discussion -- 1.5.1 Discussion of Development Process -- 1.5.2 Discussion of Application Feedback -- 1.5.3 Benefits and Drawbacks of the Application/3D Visualisation Technique -- 1.5.4 Limitations -- 1.5.5 Further Development -- 1.6 Conclusion -- References -- 2: Using Confocal Microscopy to Generate an Accurate Vascular Model for Use in Patient Education Animation -- 2.1 Introduction -- 2.2 Blood Pressure -- 2.3 Blood Pressure Regulation -- 2.4 Pathophysiology of Hypertension -- 2.5 Peripheral Resistance Artery Structure and Vascular Remodelling in Hypertension -- 2.6 Treatment of Hypertension -- 2.7 Medication Adherence -- 2.8 Patient Education Can Improve Medication Adherence -- 2.9 Generating Digital 3D Models Using Confocal Microscopy -- 2.10 Building a Complete Vessel 3D Model from a Partial Confocal Microscopy Dataset -- 2.11 Modelling the Tunica Intima -- 2.12 Tunica Media -- 2.13 Tunica Externa -- 2.14 Simple Effects in Animation -- 2.15 Vascular Wall Remodelling Using Blend Shapes -- 2.16 Maya´s MASH Toolkit -- 2.17 Materials (Shaders) -- 2.18 Lighting -- 2.19 Rendering -- 2.20 Results -- 2.21 Discussion and Evaluation -- References -- 3: Methods and Applications of 3D Patient-Specific Virtual Reconstructions in Surgery -- 3.1 Introduction -- 3.2 Methods of 3D Virtual Reconstructions -- 3.2.1 Segmentation -- 3.2.1.1 Manual Segmentation -- 3.2.1.2 Algorithmic Approaches to Segmentation -- 3.2.2 Rendering Methods for 3D Virtual Models -- 3.2.2.1 Volumetric Rendering -- 3.2.2.2 Surface Rendering Techniques -- 3.2.3 Post-Processing of Surface Polygon Mesh -- 3.2.3.1 Decimation -- 3.2.3.2 Smoothing -- 3.2.4 Advanced 3D Modelling Techniques -- 3.2.4.1 Complex 3D Modelling and Digital Sculpture -- 3.2.4.2 Retopology -- 3.2.4.3 UV Unwrapping. 3.2.4.4 Texture Maps and Physically Based Rendering -- 3.3 Applications of 3D Models in Surgical Practice -- 3.3.1 3D Models in Surgical Planning -- 3.3.1.1 Anatomical Understanding -- 3.3.1.2 Patient-Specific Simulation -- 3.3.1.3 Resection Planning -- 3.3.1.4 Reconstruction -- 3.3.2 Intraoperative Navigation -- 3.3.3 3D Models in Surgical Patient Education -- 3.4 Conclusion -- References -- 4: Proof of Concept for the Use of Immersive Virtual Reality in Upper Limb Rehabilitation of Multiple Sclerosis Patients -- 4.1 Rationale -- 4.2 Multiple Sclerosis and Conventional Physiotherapy -- 4.3 Virtual Reality-Based Rehabilitation -- 4.3.1 Interaction -- 4.3.2 Visualisation -- 4.3.3 HMDs in MS Rehabilitation -- 4.4 Treatment Adherence and Motivation -- 4.4.1 Feedback -- 4.5 Aims and Objectives -- 4.6 Methods -- 4.6.1 Workflow (Fig. 4.1) -- 4.6.1.1 Materials -- 4.6.2 Design and Development Process -- 4.7 Developmental Outcomes -- 4.7.1 Menu Scene -- 4.7.2 Piano Scene -- 4.7.3 Maze Scene -- 4.7.4 Evaluation -- 4.7.4.1 Participants -- 4.7.4.2 Experimental Set-Up and Procedure -- 4.7.4.3 Ethics -- 4.7.4.4 Data Analysis -- 4.8 Results -- 4.9 Discussion -- 4.9.1 Future Works -- 4.10 Conclusion -- References -- 5: Virtual Wards: A Rapid Adaptation to Clinical Attachments in MBChB During the COVID-19 Pandemic -- 5.1 Introduction -- 5.2 Theoretical Underpinnings -- 5.2.1 Dual-Process Theory -- 5.2.2 Script Theory -- 5.2.3 Cognitive Load Theory -- 5.2.4 Situated Cognition -- 5.3 Technological Considerations -- 5.3.1 Flexibility of Content -- 5.3.2 Inclusion of Automatically Marked Questions -- 5.3.3 Control over Non-linear Lesson Flow -- 5.3.4 Large Amount of Information in a Single Click -- 5.3.5 Embedding H5G Interactive Content -- 5.3.6 Tips for Virtual Ward Developers -- 5.4 Description of the Virtual Wards -- 5.4.1 The Content Covered by the Virtual Wards. 5.4.2 The Format of the Modules -- 5.4.3 The Interactive Cases -- 5.4.3.1 Setting the Scene -- 5.4.3.2 Interactive History-Taking -- 5.4.3.3 Observations and Examination -- 5.4.3.4 Investigations: Selection and Interpretation -- 5.4.3.5 Refining the Differential -- 5.4.3.6 Management -- 5.5 Evaluation and Future -- 5.5.1 Asynchronous Engagement with Virtual Wards -- 5.5.2 Issues Working with Multiple New Technologies -- 5.5.3 Clinician Time Involved to Create Content -- 5.5.4 Simultaneous Virtual Wards -- 5.5.5 Quality Control of Benevolent Contributor Content -- 5.5.6 A Reflection on the Faculty Experience -- 5.5.7 The Students´ Perspective -- 5.5.7.1 The Virtual Ward Format -- 5.5.7.2 Feedback on Content -- 5.5.7.3 Amount of Content -- 5.5.7.4 Technical Difficulties -- 5.5.7.5 Loss of Clinical Contact -- 5.5.8 Lessons Learnt -- 5.6 Tips for Setting Up Virtual Wards -- 5.7 The Future of Virtual Wards -- References -- 6: Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthe... -- 6.1 Introduction -- 6.2 Part 1: Challenges in Ultrasound Image Interpretation and Ultrasound-Guided Regional Anaesthesia -- 6.2.1 What Is Ultrasound-Guided Regional Anaesthesia? -- 6.2.2 Why Is Regional Anaesthesia Difficult? -- 6.2.2.1 Selection of the Right Block -- 6.2.2.2 Acquiring and Interpreting an Optimised Ultrasound Image -- 6.2.2.2.1 Operator Dependence -- 6.2.2.2.2 Anatomical Variation -- 6.2.2.2.3 Learning Materials Depict Ideal Versions of Sono-anatomy -- 6.2.2.2.4 Comorbidity -- 6.2.2.2.5 Inattentional Blindness -- 6.2.2.2.6 Satisfaction of Search -- 6.2.2.2.7 Fatigability -- 6.2.2.3 Planning a Safe Needle Path and Visualising the Needle Tip -- 6.2.2.4 Ensuring Accurate Deposition of Local Anaesthetic Around the Target Structure. 6.2.2.5 Post-Procedure Monitoring Both to Ensure Effect and to Monitor for any Complications -- 6.2.3 Education in Ultrasound-Guided Regional Anaesthesia -- 6.3 Part 2: An Introduction to Artificial Intelligence for Clinicians -- 6.3.1 What Is Artificial Intelligence? -- 6.3.2 Machine Learning Categories -- 6.3.3 The Computational Problem -- 6.3.4 Rule-Based vs Model-Based Techniques -- 6.3.4.1 Rule-Based Techniques -- 6.3.4.2 Model-Based Techniques -- 6.3.5 Convolutional Neural Networks -- 6.3.6 The U-Net Architecture -- 6.3.7 How Models Train -- 6.3.8 Model Evaluation -- 6.4 Part 3: The Current State of AI in Ultrasound Image Interpretation for Ultrasound-Guided Regional Anaesthesia -- 6.4.1 How Can Technology Be Used to Augment UGRA? -- 6.4.2 Summary of Different Approaches -- 6.4.3 Segmentation -- 6.4.3.1 Deep Learning Approaches -- 6.4.3.2 Non-deep Learning Approaches -- 6.4.4 Tracking Methods -- 6.4.4.1 How Does Tracking Fit in with Segmentation? -- 6.4.4.2 Approaches -- 6.4.5 Summary and Future Directions -- 6.5 Part 4: A Case Study: ScanNav Anatomy Peripheral Nerve Block -- 6.6 Part 5: The Future: Artificial Intelligence and Ultrasound-Guided Regional Anaesthesia -- 6.6.1 Supporting Practice -- 6.6.2 Changing How We Learn -- 6.6.3 The Extra Dimension -- 6.6.4 The Future of Clinical Practice -- References -- 7: A Systematic Review of Randomised Control Trials Evaluating the Efficacy and Safety of Open and Endoscopic Carpal Tunnel Re... -- 7.1 Introduction -- 7.1.1 Carpal Tunnel Syndrome -- 7.1.2 The Surgical Interventions -- 7.1.3 Aims and Objectives -- 7.2 Methods -- 7.2.1 Study Identification -- 7.2.2 Study Screening and Selection -- 7.2.3 Assessment of Patient Outcomes -- 7.2.4 Risk of Bias Assessment -- 7.2.5 Data Analysis -- 7.3 Results -- 7.3.1 Study Identification, Screening and Inclusion -- 7.3.2 Study Characteristics. 7.3.3 Patient Outcomes. |
| Record Nr. | UNINA-9910544873003321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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