Image and Graphics Technologies and Applications (eBook, PDF)

18th Chinese Conference, IGTA 2023, Beijing, China, August 17-19, 2023, Revised Selected Papers
Redaktion: Yongtian, Wang; Lifang, Wu

• Format: PDF

Produktbeschreibung

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 17-19, 2023.

The 35 full papers included in this book were carefully reviewed and selected from 129 submissions. They were organized in topical sections as follows: image processing and enhancement techniques; machine vision and 3D reconstruction; image/video big data analysis and understanding; computer graphics; visualization and visual analysis; virtual reality and human-computer interaction; and applications of image and graphics.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 500
• Erscheinungstermin: 24. Oktober 2023
• Englisch
• ISBN-13: 9789819975495
• Artikelnr.: 69547288

Inhaltsangabe

Image processing and enhancement techniques.- Underwater Image Enhancement and Restoration Techniques: A Comprehensive Review, Challenges, and Future Trends.- A self-supervised learning reconstruction algorithm with an encoder-decoder architecture for diffuse optical tomography.- TSR-Net: A Two-step Reconstruction Approach for Cherenkov-excited Luminescence Scanned Tomography.- A method for enhancing the quality of compressed videos based on 2D convolution and aggregating spatio-temporal information.- Multimedia-based informal learning in museum using augmented reality.- Machine vision and 3D reconstruction.- MAIM-VO A Robust Visual Odometry with Mixed MLP for Weak Textured Environment.- Visual SLAM Algorithm Based on Target Detection and Direct Geometric Constraints in Dynamic Environments.- 3D Shape Similarity Measurement Based on Scale Invariant Functional Maps.- Visualization Research on Industry and Spatial Distribution of Industrial Heritage in New China.- Image/Video big data analysis and understanding.- SCGTS: Semantic Content Guiding Teacher-Student Network for Group Activity Recognition.- Infrared Small Target Detection Based on Prior weighed Sparse Decomposition.- CPML: Category Probability Mask Learning for Fine-Grained Visual Classification.- DPFMN: Dual-Path Feature Match Network for RGB-D and RGB-T Salient Object Detection.- An Optical Flow-based Fight Detection Method for Campus Scenes.- Attention-Guided Neural Network for Face Mask Detection.- Double-Stream Network for Clothes-Changing Person Re-identification Based on Clothes Related Feature Suppression and Attention Mechanism.- Semantic Guided Attention for Weakly Supervised Group Activity Recognition.- Computer graphics.- Research on Contrast Calculation Method for Color Image.- A position-based dynamics simulation of liver deformation withellipsoidal particles.- A Perceptually Uniform Gloss Space for Translucent Materials.- X-ray computed tomography reconstruction algorithm for refractive index gradient.- Visualization and visual analysis.- Global Temperature Prediction Models Based on ARIMA and LSTM.- Virtual reality and human-computer interaction.- Real-time image stitching with Transformers for complex traffic environment.- Research on 3D visual perception quality metric based on the principle of light field image display.- Nonlinearity Affection Analysis of Spectral Information Reconstruction by Trichromatic Imaging System.- Applications of image and graphics.- Adversarial Reinforcement Learning for Steering Cars from Virtual to Real World.- Efficient Multimodal-Contribution-Aware N-pair Network for Focal Liver Lesions.- Lung Nodule Classification Based on SE-ResNet152 and Stratified Sampling.- Fusing CNN and Transformer for Diabetic Retinopathy Image Grading.- Cross-modal Domain Adaptive Instance Segmentation in SAR Images via Instance-aware Adaptation.- Application of Computer Vision Technology in Collaborative Control of the "Zhurong" Mars Rover.- ME-GraphSAGE: Minority Class Feature Enhanced GraphSAGE for Automatic Labeling of Coronary Arteries.- LR-SARNET_A Lightweight and Robust Algorithm for Multi-scale and Multi-Scene SAR Ship Detection.- A coverless image steganography method based on feature matrix mapping.- Design and Implementation of a Digital Star Map Simulation Module.