Image and graphics technologies and applications : 18th Chinese Conference, IGTA 2023, Beijing, China, August 17-19, 2023, Revised selected papers / Wang Yongtian, Wu Lifang, editors.

This book constitutes the refereed proceedings of the 18th Chinese Conference on Image and Graphics Technologies and Applications, IGTA 2023, held in Beijing, China, during August 1719, 2023. The 35 full papers included in this book were carefully reviewed and selected from 129 submissions. They wer...

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Bibliographic Details
Corporate Author: IGTA (Conference) Beijing, China)
Other Authors: Yongtian, Wang, Lifang, Wu
Format: eBook
Language:English
Published: Singapore : Springer, 2023.
Series:Communications in computer and information science ; 1910.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Intro
  • Preface
  • Organization
  • Contents
  • Image Processing and Enhancement Techniques
  • Underwater Image Enhancement and Restoration Techniques: A Comprehensive Review, Challenges, and Future Trends
  • 1 Introduction
  • 2 Underwater Image Enhancement and Restoration
  • 2.1 Challenges of Underwater Imaging
  • 2.2 Underwater Image Enhancement
  • 2.3 Underwater Image Restoration
  • 3 Underwater Image Datasets and Quality Metrics
  • 4 Experiments and Analysis
  • 5 Opportunities and Future Trends
  • 6 Conclusion
  • References
  • A Self-supervised Learning Reconstruction Algorithm with an Encoder-Decoder Architecture for Diffuse Optical Tomography
  • 1 Introduction
  • 2 Method
  • 2.1 Light Propagation Model
  • 2.2 Deep Convolutional Encoder-Decoder Architecture
  • 3 Results
  • 3.1 Dataset
  • 3.2 Reconstruction Results
  • 4 Conclusions
  • References
  • TSR-Net: A Two-Step Reconstruction Approach for Cherenkov-Excited Luminescence Scanned Tomography
  • 1 Introduction
  • 2 Methods
  • 2.1 Forward Problem
  • 2.2 Inverse Problem
  • 2.3 Two-Step Reconstruction Algorithm
  • 3 Results
  • 3.1 Reconstruction Depth Test
  • 3.2 Spatial Resolution Test
  • 3.3 Generalization Ability Test
  • 4 Discussion and Conclusions
  • References
  • A Method for Enhancing the Quality of Compressed Videos Based on 2D Convolution and Aggregating Spatio-Temporal Information
  • 1 Introduction
  • 2 Related Work
  • 2.1 Unet
  • 2.2 Attention Mechanisms
  • 3 The Proposed Approach
  • 3.1 Method Proposal
  • 3.2 Framework
  • 3.3 Conv-block Module
  • 4 Experiments
  • 4.1 Experimental Setup
  • 4.2 Dataset
  • 4.3 Comparison to State-of-the-Arts
  • 4.4 Analysis and Discussions
  • 5 Conclusion
  • References
  • Multimedia-Based Informal Learning in Museum Using Augmented Reality
  • 1 Introduction
  • 2 Related Work
  • 2.1 Cognitive Theory of Multimedia Learning in AR
  • 2.2 AR in Museum Learning
  • 3 Method
  • 3.1 Environment Scenario
  • 3.2 Experiment Design
  • 3.3 Experiment Procedure
  • 3.4 Participant
  • 4 Result
  • 4.1 Task Load
  • 4.2 Cognitive Load
  • 4.3 Acquired Knowledge
  • 4.4 User Preference
  • 5 Discussion
  • 6 Conclusions and Future Work
  • References
  • Machine Vision and 3D Reconstruction
  • MAIM-VO: A Robust Visual Odometry with Mixed MLP for Weak Textured Environment
  • 1 Introduction
  • 2 Related Work
  • 3 Method
  • 3.1 System Architecture
  • 3.2 Mixer-WMLP Architecture
  • 4 Experiments
  • 4.1 Feature Matching
  • 4.2 Localization on TUM RGB-D Dataset
  • 5 Conclusions
  • References
  • Visual SLAM Algorithm Based on Target Detection and Direct Geometric Constraints in Dynamic Environments
  • 1 Introduction
  • 2 Related Works
  • 2.1 Indirect Geometric Constraint Method
  • 2.2 Direct Geometric Constraint Method
  • 3 Method
  • 3.1 System Overview
  • 3.2 Dynamic Feature Detection Based on Target Detection and Direct Geometric Constraints