Abstract
The field of remote sensing and sensor technology has undergone tremendous development in the past decades. Sensors 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, multi-spectral, hyper-spectral, and ultra-spectral imaging, will provide valuable images that normal CCD camera cannot offer. By combining algorithms and images taken by sensors at different part of the electromagnetic spectrum, we will be 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. In this paper, we will present an application for detecting human facial parts, images taken by different imaging systems and sensors, and the current status of image processing applications.
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