Abstract: Provided are a device, system, and method for multi-factor multi-biometric access control that authenticate a user based on at least one of what the user knows, what the user possesses and what unique physical, biological and physiological or biometric traits the user has, wherein the device includes a single sensor from which multi-biometric data is derived.

Abstract: Provided are a device, system, and method for multi-factor multi-biometric access control that authenticate a user based on at least one of what the user knows, what the user possesses and what unique physical, biological and physiological or biometric traits the user has, wherein the device includes a single sensor from which multi-biometric data is derived.

Abstract: A method for locating features in a field of view of an imaging sensor that includes receiving image data from the field of view of an imaging sensor, wherein the image data includes a plurality of image frames. The method also includes receiving three-dimensional position measurements, in an absolute coordinate system, for the imaging sensor at the point in time each image frame is acquired and identifying one or more features in each of the image frames. The method also includes determining position and velocity of the one or more features in the image frames based on changes to the one or more features between the image frames and determining three-dimensional positions of the one or more features in the image frames based on the received three-dimensional position measurements for the imaging sensor and position and velocity of the one or more features in the image frames.

Abstract: A method for locating features in a field of view of an imaging sensor that includes receiving image data from the field of view of an imaging sensor, wherein the image data includes a plurality of image frames. The method also includes receiving three-dimensional position measurements, in an absolute coordinate system, for the imaging sensor at the point in time each image frame is acquired and identifying one or more features in each of the image frames. The method also includes determining position and velocity of the one or more features in the image frames based on changes to the one or more features between the image frames and determining three-dimensional positions of the one or more features in the image frames based on the received three-dimensional position measurements for the imaging sensor and position and velocity of the one or more features in the image frames.

Abstract: Disclosed is a low density foam having a porosity of from 0 to 98% and a density less than about 0.67 gm/cc, prepared by heating a mixture of powered lithium hydride and beryllium hydride in an inert atmosphere at a temperature ranging from about 455 to about 490 K for a period of time sufficient to cause foaming of said mixture, and cooling the foam thus produced.Also disclosed is the process of making the foam.

Abstract: A filtering method and apparatus for discriminating targets from noise in space-time data consisting of a plurality of binary data frames, each containing an equal number of points, are disclosed. Noise filtering for target detection is performed by recursively determining whether the points of a sequence of M of the binary data frames form at least one continuous string, or at the next highest level of discrimination, monotonic continuous string by logically comparing each binary data frame with the two binary data frames which precede and follow it on a point by point basis.