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SUMMARY:Rendering Eyes for Eye-Tracking - Erroll Wood\, Computer Lab\, Uni
 versity of Cambridge
DTSTART:20150629T090000Z
DTEND:20150629T100000Z
UID:TALK59908@talks.cam.ac.uk
CONTACT:Microsoft Research Cambridge Talks Admins
DESCRIPTION:Eyes and their movements convey our attention and communicate 
 social and emotional information. Recent large-scale supervised methods fo
 r eye-tracking require time-consuming data collection and manual annotatio
 n\, which can be unreliable. In this talk I’ll describe how we instead u
 sed computer graphics to rapidly synthesize a varied\, realistic\, and cle
 anly-labelled dataset of eye-images from a collection of high-resolution h
 ead scans. I will then describe how we used the dataset to train an eye-re
 gion deformable model (CLNF)\, and a multimodal convolutional neural netwo
 rk for appearance-based gaze estimation. Finally I’ll discuss some futur
 e work for generating more varied synthetic datasets\, and also getting ey
 e-tracking to work robustly over large areas in-the-wild.
LOCATION:Auditorium\, Microsoft Research Ltd\, 21 Station Road\, Cambridge
 \, CB1 2FB
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