Abstract: A tracking system for a target flight vehicle includes at least two sensor nodes that are positioned at geographically diverse locations relative to a launch site from which the target flight vehicle is launched. The sensor nodes have a lens and a visible camera that captures images of an anticipated launch trajectory for the target flight vehicle. The sensor nodes determine position data for the target flight vehicle including timing, azimuth, and elevation based on the captured images. A fusion processing engine is communicatively coupled to the at least two sensor nodes for receiving and integrating the position data. The data is integrated to determine real-time state vectors including a velocity and a three-dimensional position for the target flight vehicle. The state vectors are sent to a range network that is configured to implement a flight termination system for the target flight vehicle based on the state vectors.

Abstract: Embodiments of an imaging station and method for repeatable alignment of images are generally described herein. In some embodiments, the imaging station includes a rotatable stage and a monostand. The rotatable stage may include a structure to support sets of handles for positioning of a subject's hands for at least some of the body poses. A camera is positioned on the monostand for capturing images of the subject and is configured to allow the camera to be repeatably positioned with respect to the rotatable stage for each body pose.

Abstract: Embodiments of an image processing system and methods for aligning features suitable for use in early skin-cancer detection systems are described herein. Corresponding skin features between a reference image and a later-captured image are precisely aligned. Curvatures are used to align body outlines of corresponding images using body-background masks. An initial-displacement flowfield map, generated from the aligned body outlines, may be applied to a filtered version of the later-captured image to generate a pre-warped image. The pre-warped image and a filtered version of the reference image are divided into a plurality of overlapping chips and a correlation is performed between corresponding chips. A transformation map may be generated based on the chip correlations.

Abstract: Embodiments of an imaging station and method for repeatable alignment of images are generally described herein. In some embodiments, the imaging station includes a rotatable stage and a monostand. The rotatable stage may include a structure to support sets of handles for positioning of a subject's hands for at least some of the body poses. A camera is positioned on the monostand for capturing images of the subject and is configured to allow the camera to be repeatably positioned with respect to the rotatable stage for each body pose.

Abstract: Embodiments of an image processing system and methods for aligning features suitable for use in early skin-cancer detection systems are described herein. Corresponding skin features between a reference image and a later-captured image are precisely aligned. Curvatures are used to align body outlines of corresponding images using body-background masks. An initial-displacement flowfield map, generated from the aligned body outlines, may be applied to a filtered version of the later-captured image to generate a pre-warped image. The pre-warped image and a filtered version of the reference image are divided into a plurality of overlapping chips and a correlation is performed between corresponding chips. A transformation map may be generated based on the chip correlations.

Abstract: The method identifies a pixon, a fundamental and indivisible unit of information, and a pixon basis, which represents the smallest number of cells of arbitrary shape or position required to fit the data, representing the minimum degrees of freedom necessary to specify the image. The goodness-of-fit is determined according to the Maximum Residual Likelihood (MRL) statistic or a similar chi-squared statistic.