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2016 | OriginalPaper | Buchkapitel

Ultrafast Facial Tracker Using Generic Cameras with Applications in Intelligent Lifestyle

verfasst von : Yung-Hui Li, Yuan-Ting Hu, Jethro Shen, Mihai Preda, Andrei Drexler, Carmen Sosoiu, Dragos Florin Stanculescu, Paul Liu, Joe Ye

Erschienen in: Virtual, Augmented and Mixed Reality

Verlag: Springer International Publishing

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Abstract

The core of Human-Computer Interaction (HCI) is to analyze and understand the user’s intension, which can be mostly manifested from the facial movement and expression of the user. Hence, the stage facial detection and tracking is extremely important in an user-friendly interface between human and computer. In ULSee, we developed an ultrafast markerless facial tracking system which is robust to variation in environmental lighting, pose and occlusion. It can be run at a speed of 10 ms/frame on an iPhone 6S system. With such accuracy and speed, it can be used to support many intelligent HCI applications. In this work, we envision an intelligent lifestyle in the future that can be built upon the basis of the ULSee’s ultrafast markerless facial tracker, ranging from virtual reality, augmented reality, real-time facial recognition and driver drowsiness detection. We believe, that through the joint force between ULSee’s world-class tracker and our clients, more user-awareness HCI application will be invented and a new lifestyle will arise.

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Titel: Ultrafast Facial Tracker Using Generic Cameras with Applications in Intelligent Lifestyle
verfasst von: Yung-Hui Li
Yuan-Ting Hu
Jethro Shen
Mihai Preda
Andrei Drexler
Carmen Sosoiu
Dragos Florin Stanculescu
Paul Liu
Joe Ye
Verlag: Springer International Publishing
Buch: Virtual, Augmented and Mixed Reality
Print ISBN: 978-3-319-39906-5

Electronic ISBN: 978-3-319-39907-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-39907-2_23

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