COMP52615: Computer Vision

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• COMP52815 Robotics - Planning and Motion; COMP52715 Deep Learning for Computer Vision and Robotics; PHYS51915 Introduction to Machine Learning and Statistics; PHYS52015 Introduction to Scientific and High Performance Computing

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• Develop knowledge of key concepts, approaches and algorithms in Computer Vision related to automatic understanding of image and video data sources;
• Develop critical understanding and appreciation of current theoretical and empirical research in computer vision and its application within industry.

• Themes will be chosen from contemporary areas of computer vision including the following:
• basic, intermediate and advanced features representations
• object detection and object/scene classification
• colour segmentation
• action recognition
• stereo vision
• optical flow
• object tracking
• super-resolution
• image and video summarization
• face and facial expression recognition

Subject-specific Knowledge:

• By the end of the module students should have:
• developed a critical understanding of the contemporary computer vision topics presented, how these are applicable to relevant industrial problems and have future potential for emerging needs in both a research and industrial setting;
• developed an advanced knowledge of the principles and practice of analysing relevant computer vision algorithms for problem suitability;
• developed a good understanding of managing the trade-off between task performance and real-time processing performance within the context of computer vision;
• explored the most recent advancements in the relevant academic literature and developed a critical understanding of their implications for current industry practice.

Subject-specific Skills:

• By the end of the module, students should have developed highly specialised and advanced technical, professional and academic skills that enable them to:
• formulate and solve problems that involve the automatic understanding of image and video data sources using a range of algorithmic approaches;
• develop computer vision software solutions and use appropriate algorithms and approaches to address both industrial and research application tasks

Key Skills:

• Written communication;
• Planning, organising and time management;
• Problem solving and analysis;
• Using initiative
• Adaptability
• Numeracy
• Computer literacy

• A combination of lectures, seminars, and guided reading will contribute to achieving the aims and learning outcomes of this module.
• The summative written assignment will test students' knowledge and critical understanding of the material covered in the module, their analytical and problem-solving skills.

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