Computer Vision and Pattern Recognition with Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 31759
Special Issue Editor
Interests: computer vision; pattern recognition; multimedia computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision and pattern recognition are fundamental problems in artificial intelligence, which also belongs to the application scopes of mathematical theory and tools. Computer vision enables computers and systems to derive meaningful information from digital images, videos, and other visual inputs and take actions or make recommendations based on that information. Pattern recognition is the process of recognizing patterns using a machine learning algorithm. Recent years have witnessed the rapid expansion of computer vision and pattern recognition, and a wide range of applications based on computer vision and pattern recognition can be seen everywhere, e.g., object detection, recognition, segmentation, classification, content generation, and multimedia analysis. In this Special Issue, we aim to assemble recent advances in computer vision, pattern recognition, and related extended applications.
Prof. Dr. Teng Li
Guest Editor
Manuscript Submission Information
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Keywords
- pattern classification and clustering
- machine learning, neural network, and deep learning
- theory in computer vision and pattern recognition
- low-level vision, image processing, and machine vision
- 3D computer vision and reconstruction
- object detection, tracking, recognition, and action recognition
- data mining and signal processing
- multimedia/multimodal analysis and applications
- biomedical image processing and analysis
- medical image analysis and applications
- graph theory and its applications
- vision analysis and understanding
- vision for robots and autonomous driving
- vision applications and systems
- vision and language