
Computer-Aided Design and Computer Graphics
18th International Conference, CAD/Graphics 2023, Shanghai, China, August 19-21, 2023, Proceedings
Springer (Publisher)
Published on 7. February 2024
Book
Paperback/Softback
XV, 368 pages
978-981-99-9665-0 (ISBN)
Description
This book constitutes the proceedings of the CCF 18th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2023, which took place in Shanghai, China, during August 19-21, 2023.
The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer Animation, Deep Learning for Graphics, Geometric Modeling, Geometry Processing, Rendering, Virtual Reality, Augmented Reality, Visualization, and more.
The 23 full papers included in this book were carefully reviewed and selected from 169 submissions. They focus on topics such as computer graphics and CAD, 3D Printing and Computational Fabrication, 3D Vision, Bio-CAD and Nano-CAD, Computer Animation, Deep Learning for Graphics, Geometric Modeling, Geometry Processing, Rendering, Virtual Reality, Augmented Reality, Visualization, and more.
More details
Series
Edition
1st ed. 2024
Language
English
Place of publication
Singapore
Singapore
Target group
Professional and scholarly
Illustrations
10 s/w Abbildungen, 168 farbige Abbildungen
XV, 368 p. 178 illus., 168 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
581 gr
ISBN-13
978-981-99-9665-0 (9789819996650)
DOI
10.1007/978-981-99-9666-7
Schweitzer Classification
Other editions
Additional editions

Shi-Min Hu | Yiyu Cai | Paul Rosin
Computer-Aided Design and Computer Graphics
18th International Conference, CAD/Graphics 2023, Shanghai, China, August 19-21, 2023, Proceedings
E-Book
02/2024
Springer
€80.24
Available for download
Content
Unsupervised 3D Articulated Object Correspondences with Part Approximation and Shape Refinement.- MsF-HigherHRNet: Multi-scale feature fusion for human pose estimation in crowded scenes.- FFANet: Dual Attention-Based Flow Field Aware Network for 3D Grid Classification and Segmentation.- A lightweight model for feature points recognition of tool path based on deep learning.- Image Fusion based on Feature Decoupling and Proportion Preserving.- An irregularly shaped plane layout generation method with boundary constraints.- Influence of the printing direction on the surface appearance in multi-material fused lament fabrication.- StrongOC-SORT: Make Observation-Centric SORT More Robust.- Semi-Direct Sparse Odometry with Robust and Accurate Pose Estimation for Dynamic Scenes.- Parallel Dense Vision Transformer and Augmentation Network for Occluded Person Re-Identification.