Face detection is an important component for mobile robots to interact with humans in a natural way. Various face detection algorithms for mobile robots have been proposed; however, almost all of them have not yet met the requirements of the accuracy and the speed to run in real time on a robot platform. In this paper, we present a method of combining color and depth images provided by a Kinect camera and navigation information for face detection on mobile robots. This method is shown to be very fast and accurate and runs in real time in indoor environments.
[pdf]
@inproceedings{voduc2012,
author = {My Vo Duc and Andreas Masselli and Andreas Zell},
title = {Real Time Face Detection using Geometric Constraints, Navigation
and Depth-based Skin Segmentation on Mobile Robots},
booktitle = {2012 IEEE International Symposium on Robotic and Sensors Environments},
year = {2012},
address = {Magdeburg, Germany},
month = nov,
abstract = {Face detection is an important component for mobile robots to interact
with humans in a natural way. Various face detection algorithms for
mobile robots have been proposed; however, almost all of them have
not yet met the requirements of the accuracy and the speed to run
in real time on a robot platform. In this paper, we present a method
of combining color and depth images provided by a Kinect camera and
navigation information for face detection on mobile robots. This
method is shown to be very fast and accurate and runs in real time
in indoor environments.},
url = {http://www.cogsys.cs.uni-tuebingen.de/publikationen/2012/voduc2012.pdf}
}