New Advances and Applications in Image Processing and Computer Vision
This special issue belongs to the section "E1: Mathematics and Computer Science".
Special Issue Information
Dear Colleagues,
Computer vision adoption is growing steadily. Be it video-detection systems in self-driving cars, 3D printing in manufacturing, healthcare or advanced sensors in defense and logistics, technology is playing its part. Additionally, there is a growing call for integrating theoretical research on image processing algorithms with the more applied research on image processing systems.
This Special Issue is on topics of image processing and computer vision, along with their applications in different domains and systems in different environments. Recent advancements in image processing and computer vision have enabled researchers to boost the development of intelligent applications in different domains. These intelligent applications are integrated as real-world applications in the environment in order to collecting data seamlessly continuously and performing Image Processing on the huge amount of data collected from these environments. These intelligent applications are developed to be adaptable in different unexpected conditions, which makes these applications highly useful in real-world environments. There are numerous challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that can be applied on personal photos and videos.
This Special Issue aims to explore the variety of techniques used to analyze and interpret images, together with computer vision applications and advances, by providing a platform for researchers from both academia and industry to present their novel and unpublished work in the domains of computer vision and image processing. This will help to foster future research in the growing field of computer vision and its related areas.
Dr. Samaneh Mazaheri
Guest Editor
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Keywords
- 3D computer vision
- adversarial attacks and robustness
- bias, fairness and privacy
- biometrics, face, gesture and pose
- computational photography, image and video synthesis
- image and video retrieval
- learning and optimization for computer vision
- low level and physics-based vision
- medical and biological imaging
- motion and tracking
- object detection and categorization
- representation learning for vision
- scene analysis and understanding
- segmentation
- video understanding and activity analysis
- vision for robotics and autonomous driving
- visual reasoning and symbolic representations
- applications
- image sensing, modelling and representation
- statistical modeling and estimation
- image models (structure based, morphological, graph based)
- image processing methods (linear and non-linear filtering, transforms, wavelets, etc.)
- inverse imaging, compressive sensing
- image acquisition, denoising, deblurring, reconstruction
- machine learning and image processing algorithms
- image segmentation and representation
- image and video retrieval
- image processing and understanding
- knowledge representation and high-level vision
- graph theoretic methods
- animation, movies, advertising, video games
- real-time image processing and learning
- neural network applications
- deep learning
- human-centric self-supervised learning
- machine vision
- computer-generated imagery
- biomedical image processing
- biomedical and health informatics
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Published Papers
Mathematics - ISSN 2227-7390