Abstract:
A method for reconstructing an image of an object includes scanning an object using a computed tomographic (CT) imaging apparatus to acquire projections of the object. A set of thresholds are determined utilizing the projections, and selected smoothing kernels are associated with the thresholds. The method further includes utilizing the smoothing kernels and the projections to produce smoothed projections in accordance with the thresholds and filtering and backprojecting the smoothed projections to generate an image of the object.
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:
In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, generating an intrinsic image corresponding to the image and modifying the intrinsic image by performing an edge-preserving blur of illumination.
Abstract:
Methods and apparatus are provided for image analysis and modification using a fast sliding parabola erosion. The methods include selecting a scan line in an image and performing a unidirectional left-hand pass followed by a unidirectional right-hand pass. The unidirectional passes are performed as loops with increasing distance. By utilizing simple unidirectional left-hand and right-hand passes along a scan line in an image, the erosion procedure is greatly simplified and computation times are significantly reduced.
Abstract:
Methods and systems for creating three-dimensional models from two-dimensional images are provided. According to one embodiment, a computer-implemented method of creating a polygon-based three-dimensional (3D) model from a two-dimensional (2D) pixel-based image involves creating an inflatable polygon-based 3D image and extruding the inflatable polygon-based 3D image. The inflatable polygon-based 3D image is created based on a 2D pixel-based input image by representing pixels making up the 2D pixel-based input image as polygons. The inflatable polygon-based 3D image is extruded by generating z-coordinate values for reference points associated with the polygons based upon a biased diffusion process.
Abstract:
A method for segmentation of locally-defined regions is provided. The input data obtained for the image region under investigation is separated into a foreground mask and a background mask, two different filter operations are applied to the input data to determine segmentation starting points, the resulting data sets are subtracted and the image regions viewed as segmentation starting points, a filter operation is applied to generate a less restrictive mask for the input data, the resulting data subjected to a threshold value reduction, the less restrictive mask subjected to a labeling with regard to determination of the local values for generation of a restrictive mask, the mean values determined, segmentation starting points not obtained in the less restrictive mask are removed, a growth into all regions of the restrictive mask is carried out and the regions obtained in the restrictive mask are viewed as the segmented brightness regions.
Abstract:
A computer-implemented method for generating depth-of-field effects includes receiving information specifying an input image rendered using a pinhole camera. A first set of circles of confusion associated with portions of the input image are determined based a set of parameters associated with the pinhole camera. The first set of circles of confusion are then associated with heat conductivity of a medium. The portions of the input image are blurred according to heat diffusion in the medium to generate a first output image having a first depth-of-field effect.
Abstract:
One embodiment of the present invention provides a system that can represent an area of a raster image by a centerline. During operation, the system receives a planar map which represents a raster image that contains a region. Note that the region corresponds to a face in the planar map whose edges correspond to the boundaries of the region. Next, the system determines a centerline for a subregion within the region which is currently represented by an outline. The system then transforms the planar map so that the subregion is represented by the centerline.
Abstract:
An imaging processing system adapted for use with a vehicle is provided in one aspect of the present invention. The system generally includes an image capturing device and an image processing device. The image capturing device is operable to capture an original image of a scene exterior to the vehicle. The captured original image is generally defined by a group of pixels. The image processing device is operable to receive the captured original image and morphologically process the captured original image to remove distortion from the captured original image to produce a final filtered image.
Abstract:
A method, system, and computer program for automatic restoration of digital film and video frames, by operation of a sequence of five main interactive computer program blocks, mainly separating moving objects from still objects, separating smooth texture from regions containing edges using the coherency map, and detecting and removing defects to provide restored frames using a pair of frames as reference frames for each processed frame.