Abstract: An iris imaging system is provided. The iris imaging system includes at least one light source configured to illuminate an iris at a spectrum of light. The iris imaging system also includes at least one image capturing device including at least one of an indium-gallium-arsenide, lead sulphide, and lead selenide based detector and configured to capture an image of the iris via light reflected from the iris at the spectrum. The device is further configured to provide a signal representing one or more features of the iris in response to the light reflected from the iris.

Abstract: A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.

Abstract: A technique is provided for comparative image analysis and/or change detection using computer assisted detection and/or diagnosis (CAD) algorithms. The technique includes registering two or more images, comparing the images with one another to generate a change map, and detecting anomalies in the images based on the change map.

Abstract: A method for face model fitting comprising, receiving a first observed image, receiving a second observed image, and fitting an active appearance model of a third image to the second observed image and the first observed image with an algorithm that includes a first function of a mean-square-error between a warped image of the second observed image and a synthesis of the active appearance model and a second function of a mean-square-error between the warped image of the second observed image and an appearance data of the first observed image.

Abstract: An iris of an individual is imaged while illuminated with electromagnetic radiation having an illumination spectrum that is selected based on a color of the iris. The illumination spectrum/spectra is/are selected so that the resulting image will have a sufficient amount of detail of the iris as required for the application, such as identification of the individual. Alternatively, the iris can be imaged multiple times while illuminated by electromagnetic radiation of one of multiple different illumination spectra, and the best image or a combination of the images can be used for the application.

Abstract: An iris imaging system is provided. The iris imaging system includes at least one light source configured to illuminate an iris at a spectrum of light. The iris imaging system also includes at least one image capturing device including at least one of an indium-gallium-arsenide, lead sulphide, and lead selenide based detector and configured to capture an image of the iris via light reflected from the iris at the spectrum. The device is further configured to provide a signal representing one or more features of the iris in response to the light reflected from the iris.

Abstract: A biometric identification system and method are provided. The system includes an image capture mechanism for capturing multiple images of a person's iris, a registration component for registering a portion of each image attributable to the iris, and a super-resolution processing component for producing a higher resolution image of the iris. The method includes capturing multiple images of a person's iris, registering a portion of each image attributable to the iris, and applying super-resolution processing to the images to produce a higher-resolution image of the iris.

Abstract: Methods and computer program readable medium for restoring an image. The methods include the steps of selecting one or more frames followed by determining the regions of interest so that blurring effect is determined in the regions of interest using various techniques. The regions of interest are then deblurred and one of the deblurred regions of interest is then blended with the frame resulting in a restored frame.

Abstract: A system for determining a track location operates to acquire a current video frame via at least one video camera mounted on board a locomotive, determine a track location based on information extracted from the at least one video frame, and transmit the track location information to a navigation system to determine control parameters for the locomotive.

Abstract: There is provided a discriminative framework for image alignment. Image alignment is generally the process of moving and deforming a template to minimize the distance between the template and an image. There are essentially three elements to image alignment, namely template representation, distance metric, and optimization method. For template representation, given a face dataset with ground truth landmarks, a boosting-based classifier is trained that is able to learn the decision boundary between two classes-the warped images from ground truth landmarks (e.g., positive class) and those from perturbed landmarks (e.g., negative class). A set of trained weak classifiers based on Haar-like rectangular features determines a boosted appearance model. A distance metric is a score from the strong classifier, and image alignment is the process of optimizing (e.g., maximizing) the classification score.

Abstract: In accordance with embodiments of the present, a method for acquiring an image is provided. The method comprises acquiring initial image data, identifying one or more regions of interest in at least one of the initial image data or in a first image generated from the initial image data. The method further comprises automatically deriving one or more scan parameters based upon the regions of interest, and acquiring second image data using the scan parameters.

Abstract: A technique and system are provided for compression of tomosynthesis imaging data. In an embodiment of the present technique, tomosynthesis imaging data may be compressed by processing a stack of tomosynthesis images such that differences between some or all of the images or estimates of the images are encoded. In another embodiment of the present technique, tomosynthesis imaging data may be compressed by differentially compressing two or more regions within the one or more tomosynthesis imaging datasets. In addition, there is provided tangible, machine readable media, with code executable to perform the acts of obtaining one or more tomosynthesis imaging datasets and compressing the one or more tomosynthesis imaging datasets using one or more compression algorithms.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.

Abstract: A system and method for performing a facial image restoration is described. The system includes an active appearance model component for fitting an active appearance model to a facial image found in each of a plurality of video frames, a registration component for registering each pixel of each facial image with comparable pixels of each of the other facial images, and a restoration component for producing a restored facial image from the facial images. The method includes fitting an active appearance model to a facial image found in each of a plurality of video frames, registering each pixel of each said facial image with comparable pixels of each of the other facial images, and producing a restored facial image from the facial images.

Abstract: Generating a multispectral or hyperspectral image of an image source with an optical system having an adjustable, wavenumber-dependent point spread function, by collecting panchromatic images of the image source, each of which corresponds to a selected point spread function and includes a measured intensity data set corresponding to a range of wavelengths, transforming the panchromatic images into the spatial frequency domain by using a Fourier transform, solving a matrix equation at each spatial frequency, in which a vector of the transformed panchromatic images is equal to the product of a predetermined matrix of discrete weighting coefficients and a vector representing a wavenumber content of the image source at each spatial frequency, resulting in a determined wavenumber content of the image source in the spatial frequency domain, and inverse transforming the determined wavenumber content of the image source from the spatial frequency domain into the image domain, resulting in the multispectral or hypersp

Abstract: A universal position coding method and system are provided for coding uncompressed data. Data symbols are assigned to a bin portion and a raw portion, and a data tree structure is utilized. A top down approach involves initializing a data tree based on the bit depth of the data; splitting a bin to form two separate bins based on a predetermined splitting condition; and repeating the splitting step until a terminating condition is achieved. A bottom up approach involves forming a data tree; merging two existing bins to form a new bin based on a merging condition; and repeating the merging step until a terminating condition is achieved.

Abstract: A technique for compressing data using non-dyadic wavelet transforms. The non-dyadic wavelet transforms may be derived from a generalized model or specific non-dyadic wavelet transforms may be constructed as needed to enhance the desired image qualities in a compressed image. The non-dyadic wavelet transforms may be differentially applied to different data dimensions to accommodate non-square transformations. In addition, the non-dyadic wavelet transforms can be cascaded to achieve novel image resolutions in the compressed images.

Abstract: A data coding system is provided for coding an uncompressed data and decoding the coded data. The data coding system comprises a position coding system for defining a context based upon a position of a most significant bit in the uncompressed data and a context value, an encoder for encoding the context to generate an encoded context and compiling the uncompressed data based on the encoded context and remaining bits of the uncompressed data to generate a coded data, and a decoder for decoding the coded data to generate a decoded data.

Abstract: A universal position coding method and system are provided for coding uncompressed data. Data symbols are assigned to a bin portion and a raw portion, and a data tree structure is utilized. A top down approach involves initializing a data tree based on the bit depth of the data; splitting a bin to form two separate bins based on a predetermined splitting condition; and repeating the splitting step until a terminating condition is achieved. A bottom up approach involves forming a data tree; merging two existing bins to form a new bin based on a merging condition; and repeating the merging step until a terminating condition is achieved.

Abstract: The present technique addressably handles image data, which is decomposed and tessellated into a plurality of tessellated sub-band blocks. The tessellated sub-band blocks may be addressed by an array of indices, which identify specific data blocks of the image data by decomposition level and spatial coordinates of the tessellated sub-band blocks. Accordingly, a desired region of the image data at multiple resolutions can be identified and individually handled for storage, transmission, retrieval, and display. The desired region also can be reference marked based on the array of indices.