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

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