The annual gathering of the British Machine Vision Association (BMVA) conference focuses on advancements in machine vision, image processing, and pattern recognition. Through sponsorship, Frontiers in Imaging is curating this Research Topic based on the abstracts of the event presentations.
The conference presents an exceptional opportunity to connect with qualified British and international researchers working in the field of imaging, computer vision and associated academic areas. The breadth of knowledge on display, coupled with the variety of presentations, promises a rewarding exploration of cutting-edge research and development in computer vision.
This Research Topic aims to delve into new discoveries and promote discussion on machine vision and pattern recognition within imaging applications, whilst supporting continued growth within the field. A comprehensive understanding of the principles and applications underpinning machine learning and image processing are fundamental for progress in these sectors and as the need for new algorithms and methods under the computer vision umbrella grows, the potential for technology driven by AI increases.
Please join us in uncovering the latest insights and advancements in AI through the lens of computer vision.
This Research Topic will also consider submissions outside the British Machine Vision Conference 2023, but that are related to topics covered by BMVA/IAPR/CVF.
Keywords:
3D Analysis, Architectures and Techniques, Vision and language, Explainable AI, Representation learning, Scalable Vision, Recognition, Identification, Detection
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The annual gathering of the British Machine Vision Association (BMVA) conference focuses on advancements in machine vision, image processing, and pattern recognition. Through sponsorship, Frontiers in Imaging is curating this Research Topic based on the abstracts of the event presentations.
The conference presents an exceptional opportunity to connect with qualified British and international researchers working in the field of imaging, computer vision and associated academic areas. The breadth of knowledge on display, coupled with the variety of presentations, promises a rewarding exploration of cutting-edge research and development in computer vision.
This Research Topic aims to delve into new discoveries and promote discussion on machine vision and pattern recognition within imaging applications, whilst supporting continued growth within the field. A comprehensive understanding of the principles and applications underpinning machine learning and image processing are fundamental for progress in these sectors and as the need for new algorithms and methods under the computer vision umbrella grows, the potential for technology driven by AI increases.
Please join us in uncovering the latest insights and advancements in AI through the lens of computer vision.
This Research Topic will also consider submissions outside the British Machine Vision Conference 2023, but that are related to topics covered by BMVA/IAPR/CVF.
Keywords:
3D Analysis, Architectures and Techniques, Vision and language, Explainable AI, Representation learning, Scalable Vision, Recognition, Identification, Detection
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.