Computer Vision and Graphics: Mathematical and Statistical Perspectives
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 7743
Special Issue Editors
Interests: computer vision; pattern recognition; visual surveillance; face recognition; uncertainty analysis
Interests: pattern recognition; computer vision
Special Issue Information
Dear Colleagues,
Computer vision uses computational techniques to mimic human vision and to explore challenging tasks, such as image recognition, object detection, integrative scene understanding, etc. Computer graphics involves the generation, rendering, and utilization of 2D/3D representations and modeling, which can be applied to scientific visualization, AR/VR, computer games, and so on. Computer vision and graphics have a natural synergy with many other fields, including 3D reconstruction and human–computer interaction.
Mathematical and statistical theories, methods, and models play an important role in computer vision and graphics. In recent years, some new research fields, such as intelligent transportation and the metaverse, that are tightly related to computer vision and graphics have moved forward rapidly. As a consequence, new challenges are emerging. That is, how to understand newly proposed computer vision and graphic models from mathematical and statistical perspectives. For example, deep learning is one of most popular approaches in computer vision. Up to now, its learning scheme is not very clear, and it is still a black box method in mathematical nature. Additionally, in the AR/VR field, how to use mathematical and statistical tools to effectively integrate intelligent actions in the virtual world is an open problem. In addition, we still do not have good ideas on how to build the bridge between computer vision and computer graphics from mathematical and statistical perspectives.
This Special Issue serves as a forum for researchers all over the world to share their works and recent advances in computer vision and graphics braced by mathematical and statistical theories, methods, and models. It is expected to promote the development of computer vision and graphics in the new intelligent and virtual era.
The Special Issue seeks original contributions that address the challenges in computer vision and graphics from novel and deep mathematical and statistical perspectives. Articles with novel ideas, datasets, and comprehensive literature reviews are all welcome for submission. Related topics include, but are not limited to, the following:
- Object detection and recognition;
- Data augmentation;
- Face detection and recognition;
- Person re-identification;
- Pedestrian detection;
- Human pose estimation;
- X-ray security image analysis;
- Three-dimensional object detection and recognition;
- Emerging vision and multimedia tasks;
- Scene understanding;
- Computer-aided geometric design;
- AR/VR;
- Three-dimensional reconstruction and modeling;
- Computer games;
- Scientific visualization;
- Anomaly detection.
Prof. Dr. Cairong Zhao
Prof. Dr. Wankou Yang
Dr. Can Gao
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- face detection and recognition
- person identification
- pedestrian detection
- image analysis
- scene understanding
- computer-aided geometric design
- 3D reconstruction
- computer games
- AR/VR
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