Call for Papers
The 5th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2022) will be held in Shenzhen, China from October 14 to 17, 2022. As one of the top-notch academic conferences in the fields of pattern recognition and computer vision in China, PRCV 2022 is hosted by Chinese Association for Artificial Intelligence (CAAI), China Computer Federation (CCF), Chinese Association of Automation (CAA), and China Society of Image and Graphics (CSIG), with Southern University of Science and Technology (SUSTech) and Shenzhen Polytechnic (SZPT) as the organizers. The co-organizers are listed as follows: Hong Kong Baptist University (HKBU), the Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), Harbin Institute of Technology, Shenzhen (HITSZ), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS), and Sun Yat-sen University (SYSU).
Centered around the topic "Converge at Greater Bay Area, Innovate for a Broader Vision", PRCV 2022 aims to promote high-quality intellectual interchange focusing on state-of-art theories among researchers from the Guangdong-Hong Kong-Macao Greater Bay Area. We have faith that technology has the power to energize industry. With the support from the Greater Bay Area, PRCV 2022 strives to have more technology companies and investors attend the conference, thus providing an opportunity for researchers around the country to have direct access to these enterprises.
PRCV 2022 is now open for submissions. Papers submitted should describe high-quality, original research in English. After the presentation of accepted papers at the conference, the proceedings will be published by Springer and indexed by EI and ISTP.
Topics of interest: (include, but not limited to)
Pattern Classification and Clustering
Performance Evaluation and Benchmark Datasets
Structural Pattern Recognition
Object Detection, Tracking and Recognition
Neural Network and Deep Learning
Feature Extraction and Selection
Biomedical Image Processing and Analysis
Computer Vision Theory
Low-level Vision, Image Processing
Remote Sensing Image Interpretation
3D Computer Vision and Reconstruction
Optimization and Learning methods
Computational Photography, Sensing and Display
Multimodal Information Processing
Document Analysis and Recognition
Vision Analysis and Understanding
Vision Applications and Systems
Face Recognition and Gesture Recognition
Vision For Robots and Autonomous Driving