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What and Who
Title:Gaze Estimation and Interaction in Real-World Environments
Speaker:Xucong Zhang
coming from:Max-Planck-Institut für Informatik - D2
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D1, D3, D4, RG1, MMCI, D2, D5, SWS
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Level:Public Audience
Language:English
Date, Time and Location
Date:Wednesday, 26 September 2018
Time:11:00
Duration:60 Minutes
Location:Saarbrücken
Building:E1 4
Room:019
Abstract
Human eye gaze has been widely used in human-computer interaction, as it is a promising modality for natural,

fast, pervasive, and non-verbal interaction between humans and computers. Appearance-based gaze estimation
methods directly regress from eye images to gaze targets without eye feature detection, and therefore have great
potential to work with ordinary devices. However, these methods require a large amount of domain-specific
training data to cover the significant variability in eye appearance. In this thesis, we focus on developing
appearance-based gaze estimation methods and corresponding attentive user interfaces with a single webcam
for challenging real-world environments. We collected a large-scale gaze estimation dataset from real-world
setting, proposed a full-face gaze estimation method, and studied data normalization. We applied our gaze
estimation methods to real-world interactive application including eye contact detection and gaze estimation
with multiple personal devices.

Contact
Name(s):Connie Balzert
Phone:2000
Video Broadcast
Video Broadcast:NoTo Location:
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Created:
Connie Balzert/MPI-INF, 09/18/2018 02:43 PM
Last modified:
Uwe Brahm/MPII/DE, 09/26/2018 07:01 AM
  • Connie Balzert, 09/18/2018 02:43 PM -- Created document.