By Topic

The third eye approach to innovative designs and applications: human recognition system by nonlinear oscillations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Oka, S. ; Graduate Sch. of Media & Governance, Keio Univ., Fujisawa, Japan ; Takefuji, Y. ; Huang, W.

The field of remote sensing and sensor technology has undergone tremendous development in the past decades. Sensor technologies of all kinds such as electro-optics, acoustic, active/passive UV to LWIR, ground-penetrating radar, passive mm wavelength, X-ray tomography, neutron activation imaging, multispectral, hyper-spectral, and ultra-spectral imaging, provide valuable images that normal CCD cameras cannot offer. By combining algorithms and images taken by sensors at different ranges of the electromagnetic spectrum, we are able to extract valuable images automatically. By using multi-spectral images and processing them with neural network computing, our “third eye” team is able to extract human face features from those images. We present an application for detecting human facial parts, images taken by different imaging systems and sensors, and the current status of image processing applications

Published in:

Intelligent Processing and Manufacturing of Materials, 1999. IPMM '99. Proceedings of the Second International Conference on  (Volume:2 )

Date of Conference:

1999