Abstract: A standard used to test imaging systems is imaged by a digital camera which expresses the image of the standard as a plurality of pixels having associated intensities. A computer automatically finds the image of the standard in the image and quantitatively compares intensities of pixels of a subsequent image of the standard to the first image to discern changes indicative of malfunction. A set of images of the standard may be collected and compiled to develop standard data, such as average of median values, that can be used to test imaging apparatus. The standard may be provided with a plurality of types of imaging standards occupying sub-areas that produce a different photoresponse to a plurality of different light sources. A fluorescent standard may be included that has a plurality of different fluorescence levels.

Abstract: A fluorescence standard for identifying variations in illumination during imaging has a composite fluorescent laminar structure, which fluoresces in response to light in the approximate wavelength range of 375 nm to 430 nm. The fluorescent object has at least two areas with different fluorescent response, e.g., a first made from a strongly luminescing material, such as GG420 filter glass. A portion of the GG420 glass is covered by filter glass having an attenuating effect on the fluorescent response. In accordance with a method of the present invention, variations in illumination during imaging with a camera are detected by placing the standard before the camera during imaging. Each captured image may contain the image of the standard and the fluorescent response of the standard in different images can be compared to identify any response changes due to variations in illumination. The variations in illumination can then be remediated by adjusting the source of illumination, the camera or ambient lighting.

Abstract: An apparatus and method for identifying facial regions in an image includes a computer running a program that tests pixel values of an image to identify objects therein having attributes like pupils, such as shape, size, position and reflectivity. To reduce the time to identify pupils, the image is sub-rected, sub-sampled and only one color/brightness channel is tested.

Abstract: An imaging station for taking a plurality of digital images of a subject under a plurality of illuminating conditions and storing and analyzing the digital images, includes a housing, containing the digital image capturing apparatus, like a camera or video recorder, a computer for processing the image data and one or more displays for displaying images of the person. The imaging station aids in controlling lighting during image capture and may be used to optimally position the subject for imaging. The computer may be programmed to conduct various image processing functions and may be networked to allow image sharing. A display which may be provided on the exterior of the housing allows an operator to visualize the subject and to control the imaging process. The imaging station may be used for teaching purposes.

Abstract: A self-contained, portable apparatus and corresponding method for capturing, displaying and analyzing images of a person includes a housing for containing a digital camera, a light source capable of providing at least two different wavelengths of light, a touch-screen display and a computer for controlling the camera, the light source and the display. The apparatus selectively captures and displays a plurality of digital images using different wavelengths of illuminating light. The light source may include a plurality of flashes and filters, some of which may be adjustable to adjust the angle of incidence of the illuminating light on the subject. Preferably, the apparatus is self-serve, allowing any person to capture, review and analyze the images. To that end, the apparatus may provide a moving image and verbal instructions to a user to aid in positioning themselves relative to the camera.