Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI

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. 

List of contents

Computational Photography, Sensing and Display Technology.- Video Analysis and Understanding.- Vision Applications and Systems.

Product details

• Assisted by: Xilin Chen (Editor), Rongrong Ji (Editor), Qingshan Liu (Editor), Zhanyou Ma (Editor), Zhanyu Ma (Editor), Zhanyou Ma et al (Editor), Zhanyu Ma et al (Editor), Hanzi Wang (Editor), Liang Wang (Editor), Hongbin Zha (Editor), Weishi Zheng (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 15.02.2024
• EAN: 9789819985364
• ISBN: 978-981-9985-36-4
• No. of pages: 525
• Dimensions: 155 mm x 29 mm x 235 mm
• Illustrations: XIV, 525 p. 171 illus., 164 illus. in color.
• Series: Lecture Notes in Computer Science
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Hardware