TNT logo LUH TNT

Mobile Computer Vision

TNT members involved in this project:
Prof. Dr.-Ing. Bodo Rosenhahn
Show all

Ego-Motion Compensated Face Detection on a Mobile Device
In this paper we propose face tracking on a mobile device by integrating an inertial measurement unit into a boosting based face detection framework. Since boosting based methods are highly rotational variant, we use gyroscope data to compensate for the camera orientation by virtual compensation of the camera ego-motion. The proposed fusion of inertial sensors and face detection has been tested on Apple's iPhone 4. The tests reveal that the proposed fusion provides significant better results with only minor computational overhead compared to the reference face detection algorithm.
(pdf)
The App TNT Face Detection is now available in Apple's AppStore.
Viola & Jones proposed
SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
This paper proposes an algorithm for image segmentation using GraphCuts which can be used to efficiently solve labeling problems on high resolution images or resource-limited systems. The basic idea of the proposed algorithm is to simplify the original graph while maintaining the maximum flow properties. The resulting Slim Graph can be solved with standard maximum flow/minimum cut-algorithms. We prove that the maximum flow/minimum cut of the Slim Graph corresponds to the maximum flow/minimum cut of the original graph. Experiments on image segmentation show that using our graph simplification leads to significant speedup and memory reduction of the labeling problem. Thus large-scale labeling problems can be solved in an efficient manner even on resource-limited systems.

TNT Amusing Birds



TNT Amusing Birds

TNT Amusing Birds




TNT Crashing Bubbles



TNT Crashing Bubbles




TNT Face Detection



TNT Face Detection




TNT Face Breakout


[1] Björn Scheuermann and Arne Ehlers and Hamon Riazy and Florian Baumann and Bodo Rosenhahn, Ego-Motion Compensated Face Detection on a Mobile Device, ECVW 2011 (CVPR-Workshop)
[2] Björn Scheuermann and Bodo Rosenhahn, SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction, EMMCVPR 2011
[3] Most images used in the papers are available at the Berkeley Segmentation Dataset and the MSRC Dataset

  • Conference Contributions
    • Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred O. Effenberg, Bodo Rosenhahn
      On-The-Fly Handwriting Recognition using a High-Level Representation
      The 16th International Conference on Computer Analysis of Images and Patterns (CAIP), Lecture Notes in Computer Science (LNCS), Valetta, Malta, September 2015