Symmetry/Asymmetry in Computer Vision and Image Processing
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 17872
Special Issue Editor
2. Department of Computer Science and Statistics, King Juan Carlos University, 28933 Móstoles, Spain
Interests: computer vision; image processing; machine intelligence and learning; biologically inspired machine vision; computational models
Special Issue Information
Dear Colleagues,
The visual relationship between human and machine in recent years is being redefined as we are witnessing an unprecedented rise of research interest in artificial vision and its applications.
Without vision, life as we know it would not be the same. It is the most informative and complex of our senses, extremely useful for our survival and entertainment. From manufacturing, medicine, defense and security, and the automotive industry to social interaction, autonomous navigation, and robotics, our understanding and interaction with the world is interwoven with visual signal processing we perform day to day. In parallel, constant hardware advancements in machines such as computers, cameras, portable devices, robots, and graphic cards, together with increasingly efficient machine learning algorithms, are further pushing the boundaries of what can be attained or expected in the future.
In this new world of discovery opening up before our eyes, machine vision encompasses a broad scope of emerging trends in vision technology (vision hardware and algorithms) across all fields and application areas. Therefore, researchers from areas related to machine learning and computer vision research are encouraged to contribute works in the following fields:
- Image/signal processing techniques;
- Video analysis;
- Deep learning for vision;
- Statistics and machine learning for vision;
- Multi-spectral/hyperspectral analysis;
- RGBD analysis;
- Image and video compression;
- Early and biologically inspired vision;
- Model-based vision;
- Motion, flow and tracking;
- Segmentation, grouping and clustering methods;
- Object detection, scene understanding and image/pattern classification;
- Video analysis for action and event recognition;
- Computational photography;
- Stereo, calibration, geometric modelling, and processing;
- Remote sensing;
- Vision applications for quality assurance, medical diagnosis, manufacturing inspection, entertainment, animation industry etc.;
- Vision applications for visualization, interaction, and graphics.
Dr. Aristeidis Tsitiridis
Guest Editor
Manuscript Submission Information
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