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 L. C
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2021; ©2021
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (341 pages)
• Disciplina: 006.693
• Soggetto topico: Visualització tridimensional; Infografia; Processament digital de senyals
• Soggetto genere / forma: Congressos; Llibres electrònics
• Altri autori: KountchevRoumen ShiJunsheng
• 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.
• Sommario/riassunto: This book presents high-quality research in the field of 3D imaging technology. The second edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL)nbsp;continues the good traditions already established by the first 3DIT conference (IC3DIT2019) to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.
• Titolo autorizzato: 3D Imaging Technologies--Multi-Dimensional Signal Processing and Deep Learning
• ISBN: 9789811633911; 9811633916
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910502982103321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Innovation, Systems and Technologies