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SUMMARY:Seeing More in Images - a Mathematical Perspective - Dr Carola-Bib
 iane Schönlieb\, Director\, Cantab Capital Institute for the Mathematics 
 of Information and Head of Cambridge Image Analysis\, DAMTP
DTSTART:20160420T130000Z
DTEND:20160420T132500Z
UID:TALK65848@talks.cam.ac.uk
CONTACT:James Parke
DESCRIPTION:Much of what we call big data consists of visual data such as 
 photographs or videos\, acquired and stored in various contexts\, ranging 
 from online image databases in libraries\, security applications such as C
 CTV or security screening on airports\, to clinical imaging data in hospit
 als. This data needs to be processed\, analysed\, and classified\, and ver
 y often is used to inform decisions based on the information extracted. Im
 age data plays a special role in data science\, as the information that it
  encodes is usually very complex and structured\, and is prone for access 
 by mathematical models and techniques. Indeed\, images are a rich source o
 f beautiful mathematical formalism and analysis.\n\nIn this talk we will d
 iscuss a collection of mathematical approaches and their use and realisati
 on for solving particular image analysis and processing tasks such as imag
 e de-noising\, de-blurring and segmentation\, object tracking and motion e
 stimation\, as well as image classification. The talk is furnished with ap
 plications of the introduced models in biomedical and clinical imaging\, r
 emote sensing for forest ecology\, and restoration of paintings and illumi
 nated manuscripts.
LOCATION:CMS Core
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