TY  - BOOK
AU  - Liu,Qingshan
AU  - Wang,Hanzi
AU  - Ma,Zhanyu
AU  - Zheng,Weishi
AU  - Zha,Hongbin
AU  - Chen,Xilin
AU  - Wang,Liang
AU  - Ji,Rongrong
ED  - SpringerLink (Online service)
TI  - Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI 
T2  - Lecture Notes in Computer Science,
SN  - 9789819985371
AV  - TK7885-7895 
U1  - 621.39 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Computer engineering
KW  - Computer networks 
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Computer systems
KW  - Machine learning
KW  - Computer Engineering and Networks
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computer Communication Networks
KW  - Computer System Implementation
KW  - Machine Learning
N1  - Computational Photography, Sensing and Display Technology -- Video Analysis and Understanding -- Vision Applications and Systems
N2  - 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.
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-8537-1
ER  -