DocumentCode :
1788169
Title :
Computer vision for face-to-face human-computer interaction
Author :
Pietikainen, Matti
Author_Institution :
Univ. of Oulu, Oulu, Finland
fYear :
2014
fDate :
14-17 Oct. 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary is only given: computer vision will play an important role in future human-computer interactions. In order to achieve natural human-computer interaction, there is a need for the computer to be able to interact with the user similar to the way human-human interaction takes place. In recent years we have been investigating various methods for different tasks of face-to-face interaction. Many of these are using image and video descriptors based on local binary patterns (LBP). This talk overviews our recent progress in LBP descriptors, face recognition and biometrics, recognition of facial expressions and emotions, visual speech recognition, synthesis of a talking face, and recognition of human actions and gestures. Results of our research on an experimental system for intelligent humanrobot interaction are also discussed.
Keywords :
biometrics (access control); computer vision; emotion recognition; face recognition; human computer interaction; speech recognition; LBP descriptors; biometrics; computer vision; emotion recognition; face-to-face human computer interaction; facial expression recognition; gesture recognition; human action recognition; human-human interaction; image descriptors; intelligent human-robot interaction; local binary patterns; talking face synthesis; video descriptors; visual speech recognition; Computer vision; Computers; Educational institutions; Emotion recognition; Face recognition; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications (IPTA), 2014 4th International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4799-6462-8
Type :
conf
DOI :
10.1109/IPTA.2014.7001915
Filename :
7001915
Link To Document :
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