Computer-Aided Design and Computer Graphics

18th International Conference, CAD/Graphics 2023, Shanghai, China, August 19–21, 2023, Proceedings

AvShi-Min Hu,Yiyu Cai

Häftad, Engelska, 2024

Del 14250 i serien Lecture Notes in Computer Science

854 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2024-02-07
Mått:155 x 235 x 21 mm
Vikt:581 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:368
Upplaga:24001
Förlag:Springer Verlag, Singapore
ISBN:9789819996650

Utforska kategorier

CAD-program inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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.

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