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Advances in Computer Graphics: 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 15, 2024, Proceedings, Part I [Pehme köide]

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  • Formaat: Paperback / softback, 388 pages, kõrgus x laius: 235x155 mm, 152 Illustrations, color; 23 Illustrations, black and white; XXIII, 388 p. 175 illus., 152 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15338
  • Ilmumisaeg: 27-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031818059
  • ISBN-13: 9783031818059
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Advances in Computer Graphics: 41st Computer Graphics International Conference, CGI 2024, Geneva, Switzerland, July 15, 2024, Proceedings, Part ISuurem pilt
  • Formaat: Paperback / softback, 388 pages, kõrgus x laius: 235x155 mm, 152 Illustrations, color; 23 Illustrations, black and white; XXIII, 388 p. 175 illus., 152 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 15338
  • Ilmumisaeg: 27-Feb-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031818059
  • ISBN-13: 9783031818059
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031818059.html
Märksõnad:
The three-volume set LNCS 15338, 15339 and 15340 constitutes the refereed proceedings from the 41st Computer Graphics International Conference, CGI 2024, held during July 15, 2024, in Geneva, Switzerland.





The 84 full papers presented in these proceedings were carefully reviewed and selected from 211 submissions. The papers are organized in the following topical sections:





Part I: Colors, painting and layout; detection and recognition; image analysis and processing; image restoration and enhancement; and visual analytics and modeling.





Part II: Graphics and VR/AR; reconstruction; rendering and animation; and theoretical analysis.





Part III: Image analysis and visualization; image attention and perception; medical imaging and robotics; synthesis and generation; and empowering novel geometric algebra for graphics & engineering workshop.
Colors, Painting and Layout.- Blue Light Digital Filter with Accurate
Color Representation, Contrast and Quality.- RRM: Relightable Assets using
Radiance Guided Material Extraction.- DesignGAN: Generation of Hand-drawn
Garment Sketches.- SCD: Statistical Color Distribution-based Objective Image
Colorization Quality Assessment.- Detection and Recognition.- FMA-YOLO: An
Algorithm for Detecting Vehicles and Pedestrians in Infrared Road
Scenarios.- Automated Recognition of Gait Emotions.- Temporal Fusion Network
for Continuous Sign Language Recognition.- SCB-LEDN: Lightweight and
Efficient Object Detection Network for Student Classroom
Behavior.- TunSLR-25: A New Static Tunisian Sign Language Recognition
System.- YOLOv8-MGH: Dense Crowd Object Detection.- 3D Face Recognition with
Contrastive Learning Network on Low-quality Data.-Image Analysis and
Processing.- MambaDW: Semantic-Aware Mamba for Document Watermark
Removal.- LSBNet: Lightweight Symmetrically Balanced Network for Real-time
Semantic Segmentation.- Semantic Cross-Self-Reconstruction with Graph
Convolutional Network for Zero-Shot Cross-Modal Retrieval.- BISRM:
Geotechnical Borehole Image Super-resolution Method based on Conditional
Diffusion Model.- Spectral Transforms for Caustic Denoising: A Comparative
Analysis for Monte Carlo Rendering.- SCAR-UNet: An Improved Res-UNet with
Channel and Spatial Attention for Coal Maceral Image Segmentation.- Image
Restoration and Enhancement.- Multiple Weather Images Restoration using the
Task Transformer and Adaptive Mixup Strategy.- Retinex-based Low-light Mural
Image Enhancement with Color Correction.- ED-Net: Unified
Enhancement-Denoising Deep Convolutional Network for Low-Light Mining
Images.- Introducing Radex: Adaptive Parameterized Feature Extraction from
Medical Images.-Visual Analytics and Modeling.- GSMC: A Global-local Scalable
Multi-task Contrastive Learning Framework.- Web3D-Based Lightweight
Simulation for Mass Evacuation at Transportation Hubs.-Decoupled Estimation
of Human Pose and Shape for ICH Performance Video Based on
L-C-HRNet.- DS-Seq: Deriving Smooth 3D Human Motion Sequences from Video Time
Cues.- Construction and Visual Validation of Low-carbon Development
Evaluation System for Urban Agglomerations.- Enhanced Plant Phenotyping
Through Spatio-Temporal Point Cloud Registration.- DM-Vis: A Graph-based Data
Reconnaissance System for Multi-domain Urban Data.