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SUMMARY:Interactive matting - Christoph Rhemann (Vienna University of Tech
 nology)
DTSTART:20090630T150000Z
DTEND:20090630T152000Z
UID:TALK18592@talks.cam.ac.uk
CONTACT:Dr Fabien Petitcolas
DESCRIPTION:*Abstract*: Matting aims to accurately extract a foreground ob
 ject out of a photograph or video and is an important operation in many im
 age/video editing applications. For instance\, once an object has been ext
 racted successfully from its background by appropriate matting techniques\
 , it may be inserted into another scene. I will give an introduction to ma
 tting and discuss recent work in this area that was developed throughout m
 y PhD studies in co-operation with Microsoft Research. More specifically\,
  I will discuss different models for matting and present a ground truth da
 taset that can be used for a quantitative comparison of matting results.\n
 \n*Biography*: Christoph Rhemann is a PhD student at Vienna University of 
 Technology. He is currently working together with Margrit Gelautz\, Carste
 n Rother (Microsoft Research) and Michael Bleyer in the field of computer 
 vision with a focus on image segmentation and matting. His work was publis
 hed at several international computer vision conferences including CVPR an
 d BMVC.\n
LOCATION:Large public lecture room\, Microsoft Research\, Roger Needham Bu
 ilding\, 7 J J Thomson Avenue\, Cambridge CB3 0FB
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