Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part II

Author:   Qingshan Liu ,  Hanzi Wang ,  Zhanyu Ma ,  Weishi Zheng
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
Volume:   14426
ISBN:  

9789819984312


Pages:   509
Publication Date:   03 January 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part II


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Overview

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis. 

Full Product Details

Author:   Qingshan Liu ,  Hanzi Wang ,  Zhanyu Ma ,  Weishi Zheng
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2024
Volume:   14426
Weight:   0.795kg
ISBN:  

9789819984312


ISBN 10:   9819984319
Pages:   509
Publication Date:   03 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Deep Stereo Matching with Superpixel-based Feature and Cost Aggregation.- GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene Flow.- Diffusion-based 3D Object Detection with Random Boxes.- Blendshape-based Migratable Speech-driven 3D Facial Animation with Overlapping Chunking-Transformer.- FIRE: Fine Implicit Reconstruction Enhancement with Detailed Body Part Labels and Geometric Features.- Sem-Avatar: Semantic Controlled Neural Field for High-Fidelity Audio Driven Avatar.- Depth optimization for accurate 3D Reconstruction from light field images.- TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation.- SACFormer: Unify Depth Estimation and Completion with Prompt.- Rotation-Invariant Completion Network.- Towards Balanced RGB-TSDF Fusion for Consistent Semantic Scene Completion by 3D RGB Feature Completion and a Classwise Entropy Loss Function.- FPTNet: Full Point Transformer Network for Point Cloud Completion.- Efficient Point-based Single Scale 3D Obiect Detection from Traffic Scenes.- Matching-to-Detecting: Establishing Dense and Reliable Correspondences between Images.- Solving Generalized Pose Problem of Central and Non-central Cameras.- RICH: Robust Implicit Clothed Humans Reconstruction from Multi-Scale Spatial Cues.-  An Efficient and Consistent Solution to the PnP Problem.- Autoencoder and Masked Image Encoding-based Attentional Pose Network.- A Voxel-Based Multiview Point Cloud Refinement Method via Factor Graph Optimization.-  SwinFusion: channel query-response based feature fusion for monocular depth estimation.-  PCRT: Multi-branch Point Cloud Reconstruction from a Single Image with Transformers.-  Progressive Point Cloud Generating by Shape Decomposing and Upsampling.- Three-dimensional Plant Reconstruction with Enhanced Cascade-MVSNet.-  Learning Key Features Transformer Network for Point Cloud Processing.-  Unsupervised Domain Adaptation for 3D Object Detection via Self-Training.- Generalizable Neural Radiance Field with Hierarchical Geometry Constraint.-  ACFNeRF: Accelerating and Cache-Free Neural Rendering via Point Cloud-based Distance Fields.- OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression.- Multi-modal Feature Guided Detailed 3D Face Reconstruction from a Single Image.- Advanced License Plate Detector in Low-Quality Images with Smooth Regression Constraint.- A Feature Refinement Patch Embedding-Based Recognition Method for Printed Tibetan Cursive Script.- End-to-End Optical Music Recognition with Attention Mechanism and Memory Units Optimization.- Tripartite Architecture License Plate Recognition based on Transformer.- Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions.- Target-aware Bi-Transformer for Few-Shot Segmentation.- Convex Hull Collaborative Representation Learning on Grassmann Manifold with L_1 norm Regularization.- FUFusion: Fuzzy Sets Theory for Infrared and Visible Image Fusion.-Progressive Frequency-aware Network for Laparoscopic Image Desmoking.-A pixel-level segmentation method for water surface reflection detection

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