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Automatic Visual Recognition in Natural, Medical, and 3D Imagery

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If you have a question about this talk, please contact Dr James Kirkbride .

In this seminar I will present an overview of some recent advances in computer vision and machine learning that enable automatic visual recognition of objects and body parts. In natural photographs, colour, texture and context provide powerful cues for segmenting the photo into regions and labelling those regions with learned category labels, such as person, tree, sky, etc. Similar techniques can be applied to medical scans (MRI or CT scans, for example) to locate the organs within the body, or to map out the grey and white matter in the brain. Finally, I will show how new 3D depth sensing cameras coupled with learned recognition algorithms will enable you to control computer games with your whole body, without having to wear or hold anything special.

This talk is part of the Darwin College Science Seminars series.

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Location: Your choice. See CSAR website or emails for joining information. Meade Room, Marshall Building, Faculty of Economics, Cambridge Building 310 on the Cambridge Science Park

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