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TNT Face Detection

By Björn Scheuermann

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Description

TNT Face Detection is an overview of the paper "Ego-Motion Compensated Face Detection on a Mobile Device" on iOS devices. TNT Face Detection uses the camera and the gyroscope of the device to detect faces in real time. It uses a boosting based face detection algorithm and in contrast to other algorithms the gyroscope is used to compensate for the device orientation by virtual compensation of the camera ego-motion

The app contains a demo mode, switching from the proposed algorithm to a traditional one without fusion of inertial sensors and face detection. TNT Face Detection also contains the paper "Ego-Motion Compensated Face Detection on a Mobile Device" by Björn Scheuermann, Arne Ehlers, Hamon Riazy, Florian Baumann and Bodo Rosenhahn. It was presented at the seventh IEEE Workshop on Embedded Computervision (ECVW) in 2011.

The App has been developed by Björn Scheuermann, Arne Ehlers, Hamon Riazy, Florian Baumann and Bodo Rosenhahn at the Institut für Informationsverarbeitung (TNT), Leibniz Universität Hannover (LUH).

http://www.tnt.uni-hannover.de

What's New in Version 1.2

- bugfixes for the iPad version

Screenshots

iPhone Screenshot 1
iPad Screenshot 1
TNT Face Detection
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This app is designed for both iPhone and iPad
  • Free
  • Category: Entertainment
  • Updated: 17 June 2013
  • Version: 1.2
  • Size: 2.7 MB
  • Language: English
  • Developer: Björn Scheuermann

Compatibility: Requires iOS 5.0 or later. Compatible with iPhone, iPad, and iPod touch. This app is optimized for iPhone 5.

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