Classifying still faces with ultrasonic sensing

P. J. McKerrow, University of Wollongong
K. K. Yoong, University of Wollongong

Article comments

This article was originally published as McKerrow, PJ and Yoong, KK, Classifying still faces with ultrasonic sensing, Robotics and Autonomous Systems, 55, 702-710. Copyright Elsevier 2007.

Abstract

The echo of a chirp of ultrasonic energy from an object contains information about the geometry of that object: relative depth of surfaces and approximate area of those surfaces. A human face has complex geometry that produces a distinctive echo. In this paper, we report initial research into whether there is sufficient information in the echo to recognize a still face. Potential features for classification are identified using a facial model. The classification results for 10 faces encourage future research with a larger number of faces and with moving faces.