Advanced Computer Vision Systems 2023
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 8533
Special Issue Editors
Interests: robot vision; service robots; object detection; scene understanding; robots at home
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer vision has made remarkable progress in recent years, due to the development of advanced algorithms, deep learning models, and powerful computing resources. As a result, computer vision systems can now perform tasks that were once considered impossible or challenging, such as object recognition, tracking, segmentation, detection, and classification, with high accuracy and speed. Moreover, computer vision has found many practical applications in various domains, including healthcare, transportation, surveillance, robotics, entertainment, and education. This Special Issue primarily addresses issues that arise in the design and deployment of comprehensive computer vision systems.
Its scope includes, but is not limited to, the following topics:
- Building vision systems: paradigms, architectures, integration and control;
- Vision system applications: systems deployed in real/realistic scenarios;
- Robot vision;
- Real-time vision systems;
- Mobile and wearable vision systems;
- Hardware-implemented vision systems;
- Vision for the real world: robustness, learning, adaptability, self-assessment and failure recovery;
- Vision for autonomous vehicles;
- Vision for healthcare and rehabilitation applications;
- Vision for surveillance and security applications;
- Vision for virtual and augmented reality (VR and AR) applications;
- Vision for industrial automation in FoFs;
- Cognitive vision systems;
- Human–computer interaction: monitoring, supervised learning and scene interpretation;
- Human–robot collaboration: gesture recognition and scene understanding;
- Performance evaluation: benchmarks, methods and metrics.
Prof. Dr. Markus Vincze
Dr. Jean-Baptiste Weibel
Guest Editors
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