Abstract: A navigation system comprises an image sensor operable to obtain a first image at a first moment in time and a second image at a second moment in time; an inertial measurement unit (IMU) operable to obtain measurement data corresponding to the first and second moments in time; and a processing unit coupled to the image sensor and the IMU. The processing unit is operable to estimate motion between the first and second moments in time based on the measurement data from the IMU; calculate a plurality of transformations based on the estimated motion; apply each of the plurality of transformations to the first image to produce a plurality of predicted images; compare the second image to each of the plurality of predicted images; select the predicted image from the plurality of predicted images which most closely matches the second image; and compensate for error in the IMU measurement data based on the transformation corresponding to the selected predicted image.

Abstract: A navigation system includes host and remote units. Host unit includes positioning device to determine absolute position/orientation of host unit; first communication device to communicate signals; first processor; and first memory. Remote unit includes second communication device to receive signals from first communication device; second processor; and second memory. First or second processor compares first aspects of known pattern with second aspects of image of captured pattern positioned on surface at either host unit or remote unit. First or second processor determines relative position/orientation of remote unit relative to host unit based on comparison of first aspects and second aspects. First or second processor determines absolute position/orientation of remote unit based on relative position/orientation of remote unit relative to host unit and absolute position/orientation of host unit.

Abstract: An adaptive iris matching approach for processing images of irises having a quality not sufficient for conventional non-adaptive matching approaches. Visible regions in a radial direction on an iris, without segmenting a circumferential of the iris, may be processed. A boundary of the visible region of the iris may be estimated. An iris map may be constructed with the non-visible portion of the iris masked. The iris map may be at least partially encoded. Partial codes of the iris map may be extracted to index at least portions of a database containing iris information. Irises may be retrieved from the database with an iris code as a query.

Abstract: An iris and ocular recognition system using trace transforms. The system may acquire an eye image and provide it to an image quality metrics determination module for a quality evaluation to indicate whether the image goes to an iris recognition module and/or a trace transform module. The trace transform may also be used as a pre-filtering mechanism to determine a small database from bigger datasets. If the quality evaluation reaches a predefined quality measure, the image may be passed immediately to the iris recognition module. If not, the image may go to the trace transform module. If the quality evaluation is too poor for the latter, the image may be rejected subject to rehabilitation or reacquisition. A processed image from the iris recognition module may result in an only best match. A processed image from the trace transform module may be lined up instead with the most probable matches.

Abstract: A navigation system includes host and remote units. Host unit includes positioning device to determine absolute position/orientation of host unit; first communication device to communicate signals; first processor; and first memory. Remote unit includes second communication device to receive signals from first communication device; second processor; and second memory. First or second processor compares first aspects of known pattern with second aspects of image of captured pattern positioned on surface at either host unit or remote unit. First or second processor determines relative position/orientation of remote unit relative to host unit based on comparison of first aspects and second aspects. First or second processor determines absolute position/orientation of remote unit based on relative position/orientation of remote unit relative to host unit and absolute position/orientation of host unit.

Abstract: Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.

Abstract: Systems and methods for detecting a present location of a target from a moving platform are provided. One system includes a movement module for estimating the present location of the target, a prediction module for estimating future locations of the target, and a first processor. The first processor is configured to receive present location estimates, receive future location estimates, store the future location estimates to create a first future location estimate, and determine the present location of the target based on the present location estimate and/or the first future location estimate. One method includes receiving an estimate of the present location of the moving platform, receiving an estimate of a future location of the moving platform, and determining the present location of the target based on the estimate of the present location and/or the estimate of the future location.

Abstract: A system for iris recognition using a set of quality metrics, which may include eye image validation, blur assessment, offset, gazing, obscuration, visibility, and the like. These metrics may be established as quantitative measures which can automatically assess the quality of eye images before they are processed for recognition purposes. Quadrant iris analysis, histograms, map processing enhancements, and multi-band analysis may be used in aiding in the iris recognition approach.

Abstract: Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

Abstract: An iris recognition system having pupil and iris border conditioning prior to iris mapping and analysis. The system may obtain and filter an image of an eye. A pupil of the mage may be selected and segmented. Portions of the pupil border can be evaluated and pruned. A curve may be fitted on at least the invalid portions of the pupil border. The iris of the eye with an acceptable border of the pupil as an inside border of the iris may be selected from the image. The iris outside border having sclera and eyelash/lid boundaries may be grouped using a cluster angular range based on eye symmetry. The sclera boundaries may be fitted with a curve. The eyelash/lid boundaries may be extracted or masked. The iris may be segmented, mapped and analyzed.

Abstract: A navigation system comprises an image sensor operable to obtain a first image at a first moment in time and a second image at a second moment in time; an inertial measurement unit (IMU) operable to obtain measurement data corresponding to the first and second moments in time; and a processing unit coupled to the image sensor and the IMU. The processing unit is operable to estimate motion between the first and second moments in time based on the measurement data from the IMU; calculate a plurality of transformations based on the estimated motion; apply each of the plurality of transformations to the first image to produce a plurality of predicted images; compare the second image to each of the plurality of predicted images; select the predicted image from the plurality of predicted images which most closely matches the second image; and compensate for error in the IMU measurement data based on the transformation corresponding to the selected predicted image.

Abstract: A system for monitoring a volume of space surrounding an aircraft having a plurality of extremity portions includes a plurality of sensors. Each sensor is disposed at a respective corresponding one of the aircraft extremity portions. Each sensor is configured to generate an image of a monitored area covering a predetermined distance from the extremity portion at which the sensor is disposed. A processing device is configured to determine, from an image generated by a first sensor of the plurality, a characteristic of an object within the monitored area covering the predetermined distance from the extremity portion at which the first sensor is disposed. The processing device is further configured to generate a signal in response to determining the object characteristic.

Abstract: Methods and apparatus are provided for recognizing particular objects of interest in a captured image. One or more salient features that are correlative to an object of interest are detected within a captured image. The captured image is segmented into one or more regions of interest that include a detected salient feature. A covariance appearance model is generated for each of the one or more regions of interest, and first and second comparisons are conducted. The first comparisons comprise comparing each of the generated covariance appearance models to a plurality of stored covariance appearance models, and the second comparisons comprise comparing each of the generated covariance appearance models to each of the other generated covariance appearance model. Based on the first and second comparisons, a determination is made as to whether each of the one or more detected salient features is a particular object of interest.

Abstract: An iris and ocular recognition system using trace transforms. The system may acquire an eye image and provide it to an image quality metrics determination module for a quality evaluation to indicate whether the image goes to an iris recognition module and/or a trace transform module. The trace transform may also be used as a pre-filtering mechanism to determine a small database from bigger datasets. If the quality evaluation reaches a predefined quality measure, the image may be passed immediately to the iris recognition module. If not, the image may go to the trace transform module. If the quality evaluation is too poor for the latter, the image may be rejected subject to rehabilitation or reacquisition. A processed image from the iris recognition module may result in an only best match. A processed image from the trace transform module may be lined up instead with the most probable matches.

Abstract: An adaptive iris matching approach for processing images of irises having a quality not sufficient for conventional non-adaptive matching approaches. Visible regions in a radial direction on an iris, without segmenting a circumferential of the iris, may be processed. A boundary of the visible region of the iris may be estimated. An iris map may be constructed with the non-visible portion of the iris masked. The iris map may be at least partially encoded. Partial codes of the iris map may be extracted to index at least portions of a database containing iris information. Irises may be retrieved from the database with an iris code as a query.

Abstract: Methods and apparatus are provided for dividing an image into a plurality of image chips for presentation on a display. Potential objects of interest are detected within an image by detecting features therein that correspond to objects of interest. The image is uniformly divided into a plurality of preliminary image chips. Triage image chips are generated by automatically adjusting each preliminary image chip such that the potential objects of interest detected within each preliminary image chip are at least substantially centered in each preliminary image chip.

Abstract: A system for iris recognition using a set of quality metrics, which may include eye image validation, blur assessment, offset, gazing, obscuration, visibility, and the like. These metrics may be established as quantitative measures which can automatically assess the quality of eye images before they are processed for recognition purposes. Quadrant iris analysis, histograms, map processing enhancements, and multi-band analysis may be used in aiding in the iris recognition approach.

Abstract: A system for monitoring a volume of space surrounding an aircraft having a plurality of extremity portions includes a plurality of sensors. Each sensor is disposed at a respective corresponding one of the aircraft extremity portions. Each sensor is configured to generate an image of a monitored area covering a predetermined distance from the extremity portion at which the sensor is disposed. A processing device is configured to determine, from an image generated by a first sensor of the plurality, a characteristic of an object within the monitored area covering the predetermined distance from the extremity portion at which the first sensor is disposed. The processing device is further configured to generate a signal in response to determining the object characteristic.

Abstract: Systems and methods for detecting a present location of a target from a moving platform are provided. One system includes a movement module for estimating the present location of the target, a prediction module for estimating future locations of the target, and a first processor. The first processor is configured to receive present location estimates, receive future location estimates, store the future location estimates to create a first future location estimate, and determine the present location of the target based on the present location estimate and/or the first future location estimate. One method includes receiving an estimate of the present location of the moving platform, receiving an estimate of a future location of the moving platform, and determining the present location of the target based on the estimate of the present location and/or the estimate of the future location.

Abstract: A system using face and iris image capture for recognition of people. The system may have wide field-of-view, medium field-of-view and narrow field-of-view cameras to capture images of a scene of people, faces and irises for processing and recognition. Matching of the face and iris images with images of a database may be a basis for recognition and identification of a subject person.