Abstract: A medical image processing apparatus according to an embodiment includes a detection unit, a generating unit, and an associating unit. The detection unit analyzes a first piece and a second piece of image data of a breast, and detects the positions of a chest wall and a nipple in each of the pieces of image data, wherein the first piece of image data is three-dimensional medical image data and the second piece of image data is medical image data of a different type from the first piece of image data. The generating unit generates a first sectional image and a second sectional image based on the first piece and second piece of image data, respectively. The associating unit associates the positional relation of the breast in the pieces of image data so that the positions of the chest wall and the nipple match between the pieces of image data.

Abstract: The coronary sinus or other vessel is segmented by finding a centerline and then using the centerline to locate the boundary of the vessel. For finding the centerline, a refinement process uses multi-scale sparse appearance learning. For locating the boundary, the lumen is segmented as a graph cut problem.

Abstract: First RGB image signals are inputted. Color difference signals Cr and Cb are calculated from the first RGB image signals. In a feature space formed by the color difference signals Cr and Cb, a first process is performed such that coordinates corresponding to a second observation area are moved to a reference area containing the origin point while coordinates corresponding to first and third observation areas are maintained unchanged. A second process is performed to move the coordinates corresponding to the first observation area and the coordinates corresponding to the third observation area away from each other.

Abstract: The invention proposes a method for determining a number (13) of transfer objects which are moving from a first subregion (8) of an observed region (5) into a second subregion (9) of the observed region (5), wherein a succession of images of the observed region (5) is recorded which identify objects (1; 2; 3; 4) and determine positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) for the objects (1; 2; 3; 4), respectively, the objects (1; 2; 3; 4) are each associated either with the first subregion (8) or with the second subregion (9) on the basis of the positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) of said objects, and multiple transfers of the same object between the first subregion (8) and the second subregion (9) are taken into account when determining the number (13) of transfer objects. The invention likewise proposes an appropriate system which can be used to carry out the method, said system comprising a sensor arrangement and a computation unit connected to the sensor arrangement.

Abstract: Data processing systems and methods are provided that improve the perceived efficiency of image analysis tools in a digital pathology workflow when challenged by analyzing large size microscopic images. Various embodiments utilize a separation of the image analysis programs into a first automatically executed segment that requires no user interactions for identification and quantification of object data of processed images, and a second interactive segment for accepting user input. User interactions are only applied to the already calculated object data resulting in an improved system response time. A tile-based processing scheme with concurrent processing and generation of object data in a tile-based data format provides further performance improvements of the system.

Abstract: An apparatus includes a hardware sensor array including a plurality of pixels arranged along at least a first dimension and a second dimension of the array, each of the pixels capable of generating a sensor reading. A hardware scanning window array includes a plurality of storage elements arranged along at least a first dimension and a second dimension of the hardware scanning window array, each of the storage elements capable of storing a pixel value based on one or more sensor readings. Peripheral circuitry for systematically transfers pixel values, based on sensor readings, into the hardware scanning window array, to cause different windows of pixel values to be stored in the hardware scanning window array at different times. Control logic coupled to the hardware sensor array, the hardware scanning window array, and the peripheral circuitry, provides control signals to the peripheral circuitry to control the transfer of pixel values.

Abstract: An image of a check that is in the field of view of a camera is monitored prior to the image of the check being captured. When the image of the check in the field of view passes monitoring criteria, an image may be taken by the camera and provided from the mobile device to a financial institution. The image capture may be performed automatically as soon as the image of the check is determined to pass the monitoring criteria. The check may be deposited in a user's bank account based on the image. Any technique for sending the image to the financial institution may be used. Feedback may be provided to the user of the camera regarding the image of the check in the field of view.

Abstract: This invention provides a system and method for determining the pose of shapes that are known to a vision system that undergo both affine transformation and deformation. The object image with fiducial is acquired. The fiducial has affine parameters, including degrees of freedom (DOFs), search ranges and search step sizes, and control points with associated DOFs and step sizes. Each 2D affine parameter's search range and the distortion control points' DOFs are sampled and all combinations are obtained. The coarsely specified fiducial is transformed for each combination and a match metric is computed for the transformed fiducial, generating a score surface. Peaks are computed on this surface, as potential candidates, which are refined until a match metric is maximized. The refined representation exceeding a predetermined score is returned as potential shapes in the scene. Alternately the candidate with the best score can be used as a training fiducial.

Abstract: A system and method for tagging an image of an individual in a plurality of photos is disclosed herein. A feature vector of an individual is used to analyze a set of photos on a social networking website to determine if an image of the individual is present in a photo of the set of photos. Photos having an image of the individual are tagged preferably by listing a URL or URI for each of the photos in a database.

Abstract: A method including: displaying on a display a reference image; displaying on the display a start position within the reference image; displaying on the display an end position within the reference image; determining a trajectory between the start position and the end position; and defining a target image for each of a plurality of waypoints along the determined trajectory.

Abstract: A face tracking apparatus includes: a face region detector; a segmentation unit; an occlusion probability calculator; and a tracking unit. The face region detector is configured to detect a face region based on an input image. The segmentation unit is configured to segment the face region into a plurality of sub-regions. The occlusion probability calculator configured to calculate occlusion probabilities for the plurality of sub-regions. The tracking unit is configured to track a face included in the input image based on the occlusion probabilities.

Abstract: An image processing apparatus includes: an object setting section that sets an object image indicating an object which is placed in an image generated by an image capturing section; a detection section that detects the object included in a synthetic image in which the object image and the image generated by the image capturing section are synthesized; and an output section that outputs output information for setting a detection parameter used in a detection process performed by the detection section, that is, output information in which the synthetic image and a detection result of the detection process are associated.

Abstract: A method for generating a mapping of dental occlusion generates a three-dimensional model of the patient's teeth (1a, 1b) according to acquired image data. The maxillary and mandibular arches are positioned in opposition in the generated model of the patient's teeth and a meal model (50) generated having characteristics of a foam material. A pressure field distribution for the generated meal model is calculated for one or more pairs of opposed teeth (1a, 1b) from the generated three-dimensional model of the patient's teeth. The calculated pressure field distribution (54) can be displayed.

Abstract: Difference of resolution depending on imaging position in one reconstructed image generated in the FFS method is reduced to improve measurement accuracy. The X-ray CT device interpolates missing data of the projection data obtained by the FFS method with view direction interpolation processing using real data of the projection data lining up along the angular direction of the rotational movement, and channel direction interpolation processing using real data of the projection data lining up along the channel direction, and generates a reconstructed image, in which contribution ratios of the projection data having been subjected to the view direction interpolation processing and the projection data having been subjected to the channel direction interpolation processing differ according to position of pixel in the reconstructed image.

Abstract: An orientation estimation apparatus estimates a position and an orientation of an image capturing unit based on positions of a marker on the image and in the real space when the maker is detected; and based on positions of feature points on the captured image and in the real space, and initial values of the position and the orientation of the unit when the maker is not detected. Further, the apparatus calculates a failure index from a first image acquired while the position and the orientation are estimated by the position of marker, where the failure index indicates a possibility that the detection of the marker is failed. When the failure index satisfies a shift-preparation-start reference, the initial values are set from the position and the orientation estimated by the position of the marker on the image having been acquired in a predetermined period before the first image.

Abstract: A video processing device includes a content analyzer that receives a video signal and generates content recognition data based on the video signal, wherein the content recognition data is associated with at least one timestamp included in the video signal. A metadata search device generates time-coded metadata in response to content recognition data and in accordance with the at least one time stamp. A metadata association device generates a processed video signal from the video signal, wherein the processed video signal includes the time-coded metadata.

Abstract: According to some embodiments, an image processor includes a perspective image generator, a perspective image acquirer, a corresponding point acquirer, a first calculator and a display image generator. The first calculator updates the position of the one or more first corresponding point on the first perspective image, based on a difference in position between the first and second perspective images. The display image generator generates a first display image including the first and second perspective images, the one or more first corresponding points updated on the first perspective image, and the one or more second corresponding points on the second perspective image. The perspective image generator changes the first direction into a third direction based on the difference in position between the first and second perspective images, and generates an updated one, viewed in the third direction, of the first perspective image.

Abstract: A marking line detection system includes an imaging device and an ECU. An information extraction unit of the ECU is configured to extract depth distance information from the imaging device to an imaging object based on image information in an imaging area captured by the imaging device. A road surface area identification unit of the ECU is configured to identify a distant road surface area based on the depth distance information, the distant road surface area being a road surface area that excludes an immediately-preceding road surface area of the vehicle in the image information and is more distant from the vehicle than the immediately-preceding road surface area. A marking line detection unit of the ECU is configured to detect a marking line in the distant road surface area based on image information corresponding to a position of the distant road surface area.

Abstract: Systems and methods for a vehicle including an eye tracking device. The systems and methods use input from the eye tracking device. The systems and methods are configured to communicate with a driver based on input from the eye tracking device. For example, the systems and methods are configured to generate indicators on a display based on input from the eye tracking device.

Abstract: A method of analyzing a spinal region of a subject. The method includes steps of obtaining a first sagittal image of the spinal region of the subject using an upright magnetic resonance imaging unit; identifying a first vertebral edge on a first side of a first disc in the first sagittal image; identifying a second vertebral edge on a second side of the first disc in the first sagittal image; and determining a first angle between the first vertebral edge and the second vertebral edge for the first disc.