Abstract: A method of performing a retinal examination is described wherein perimetry points are selected in three dimensional imaging data of the retinal tissue. The corresponding points in register with these perimetry points are mapped to an en-face image. These corresponding points are used as stimulus locations for a micro-perimetry examination.

Abstract: The invention relates to a system and a method for analysis and evaluation of at least one anatomical structure in a medical image, said medical image representing at least a part of a patient or person, said system comprising image analyzing means for calculating the volume and/or providing the shape of the at least one anatomical structure, and statistical analyzing means for providing a confidence interval of the volume and/or the shape of the analyzed anatomical structure(s) based on individual data of the patient or person, thereby quantifying the normality of said anatomical structure(s). By the present system and method a detailed and trustworthy confidence interval can be provided in connection with analysis and evaluation of a medical image of a patient, thereby illustrating the expected normality of the patient. The invention can be applied to images acquired from magnetic resonance imaging (MRI). One example of use is for diagnosing diseases and/or initial stages of diseases.

Abstract: A human subject is tracked within a scene of an observed depth image supplied to a pose tracking pipeline. An indication of a problem state is received from the pose tracking pipeline, and an identification of the problem state is supplied to the pose tracking pipeline. A virtual skeleton is received from the pose tracking pipeline that includes a plurality of skeletal points defined in three-dimensions. The pose tracking pipeline selects a three-dimensional position of at least one of the plurality of skeletal points in accordance with the identification of the problem state supplied to the pose-tracking pipeline.

Abstract: A method of authenticating a user of a computing device is proposed, together with computing device on which the method is implemented. A plurality of objects is displayed on a display screen. The plurality of objects includes at least objects that make up a sequence of objects pre-selected as the user's passcode. In response to a trigger signal an image of the user's face is captured while looking at one of the objects on the display screen. A determination of which object is in the direction of the user's gaze is made from the photograph and whether or not the gaze is on the correct object in the sequence of the passcode. This is repeated for each object in the sequence of the passcode.

Abstract: Systems and methods for visualization of medical image data with localized enhancement. In one implementation, image data of a structure of interest is resampled within a predetermined plane to generate at least one background image of the structure of interest. In addition, at least one local image is reconstructed to visually enhance at least one local region of interest associated with the structure of interest. The local image and the background image are then combined to generate a composite image.

Abstract: A display format adjustment system includes a receiving module, a visual condition determination module, a display format determination module, and a display control module. The receiving module receives content for display in a first display format. The visual condition determination module determines a visual condition of a viewer in front of a display. The display format determination module determines a second display format based on the first display format and the visual condition of the viewer. The display control module displays the content in the second display format on the display.

Abstract: A method and image detection device are provided for removal of undesired objects from image data. In one embodiment, a method includes detecting image data for a first frame, detecting image data for a second frame, and detecting motion of an undesired object based, at least in part, on image data for the first and second frames. Image data of the first frame may be replaced with image data of the second frame to generate corrected image data, wherein the undesired object is removed from the corrected image data. The corrected image data may be stored.

Abstract: A method, apparatus, and computer program product for tracking objects. A number of objects is detected in an image to form a number of detected objects. A number of previously identified objects is searched for in the image using a number of signatures for the number of previously identified objects. A number of tracks for the objects is updated using the number of detected objects and a number of reidentified objects. The number of reidentified objects is from searching for the number of previously identified objects.

Abstract: The present invention is directed to a computer-implemented method for converting a digital image into a multi-dimensional geo-referenced data structure. The method includes pre-processing or preparing a digital image, defining a color map comprising values for the prepared digital image, defining geometry and location values for the prepared digital image, creating a data structure by assigning to each pixel in the digital image a value, based on the closest match in the color map, and an interpolated geometry and location value, based on the geometry and location values; and transmitting the data structure to an interpretation application and creating a multi-dimensional geo-referenced data structure for interpretation.

Abstract: The present invention may include segmenting an image at a first resolution level and a second resolution level, wherein one or more parameters of a segmentation algorithm are trainable via user classification feedback, extracting features from a first plurality of segment primitives and a second plurality of segment primitives, wherein one or more parameters of a segment feature extraction algorithm are trainable via user classification feedback, building a first and second segmentation hierarchy by generating one or more clusters of the first plurality of segment primitives and the second plurality of segment primitives, extracting one or more features from the first segmentation hierarchy and the second segmentation hierarchy utilizing a hierarchy feature extraction algorithm, determining an inter-level relationship between the clusters generated for the first resolution level and the second level, and automatically classifying one or more tissue elements of the tissue specimen via a user-trained classific

Abstract: A method and apparatus for tracking objects within a video frame sequence. In one embodiment, a method for tracking an object within a video frame sequence is disclosed. The method includes processing each jth frame of the video frame sequence to determine a motion vector defining motion between a prior jth frame and a current jth frame. The method includes creating an object descriptor for an object being tracked followed by generating a document object model comprising motion information and the object descriptor.

Abstract: A method and system of electronically inspecting baggage comprises generating scan data representative of a piece of baggage. At least one of a contour and a surface is extracted from the scan data, and the at least one of a contour and a surface is representative of an object within the baggage. An object database comprises data representative of shapes of known objects, and the at least one of a contour and surface is compared to the object database to identify an object match which is presented.

Abstract: A method is disclosed for reconstruction of image data of an object under examination from measurement data, with the measurement data having been captured during a relative rotational movement between a radiation source of a computed tomography system and the object under examination. In at least one embodiment, first image data is computed by the measurement data being modified to obtain a specific gray value characteristic of the first image data to be reconstructed and the first image data is computed by way of an iterative algorithm using the modified measurement data. Second image data is also computed by a series of chronologically-consecutive images being reconstructed and processing being carried out on the series of images to reduce temporal noise. Finally a combination of the first and the second image data is carried out.

Abstract: A magnetic resonance (MR) image segmentation processor (32) is configured to identify one or more geometrical regions of a subject using an MR image of the subject. An emission data reconstruction processor (40) is configured to generate an attenuation map (54) of the subject by assigning initial attenuation values (52) to the geometrical regions of the subject, and to: (i) process (56) emission data acquired from the subject to generate an emission image (58) of the subject, the processing employing the attenuation map of the subject; (ii) update (60) the attenuation map based on corrections calculated using the emission image of the subject; and (iii) iterate operations (i) and (ii) to iteratively generate a reconstructed emission image of the subject.

Abstract: A system is provided for automatic selection of medical images. The system comprises an input (302) for receiving a temporal sequence of medical images acquired with a hand-held medical imaging device. An object detector (303) is provided for detecting an object in at least one of the images. An image selector (304) is provided for selecting an image in which the object has been detected by the object detector. A snapshot means (305) is provided for storing the selected image as a snapshot. Moreover, a hand-held medical imaging device is provided for generating the sequence of medical images.

Abstract: A system for managing scouting images, including a scouting camera configured to record and store images of subjects at a particular location and an image management device which has a processor that creates a predictive statement based on image content of the images stored on the scouting camera or copies thereof and a display conveying the predictive statement to a user, wherein the predictive statement indicates a portion of a future time period that subjects are most likely to be at the particular location as compared to remaining portions of the future time period.

Abstract: A method to process images for interventional imaging, wherein a 3D image of an object is visualized with a medical imaging system, the medical imaging system comprising an X-ray source and a detector, is provided. The method comprises acquiring a plurality of 2D-projected images of the object along a plurality of orientations of the imaging chain, wherein a rectilinear instrument has been inserted into the object. The method also comprises determining a 3D reconstruction of the instrument such that a plurality of 2D projections of the 3D image of the instrument, along the respective orientations in the 2D-projected images of the object were acquired, are closest to the acquired 2D-projected images of the object. The method further comprises superimposing the 3D reconstruction of the instrument over the 3D image of the object so as to obtain a 3D image comprising the object and the instrument.

Abstract: Cloud cover assessment system and method provides for automatically determining whether a target digital image acquired from remote sensing platforms is substantially cloud-free. The target image is acquired and compared to a corresponding known cloud-free image from a cloud-free database, using an optimized feature matching process. A feature matching statistic is computed between pixels in the target image and pixels in the cloud-free image and each value is converted to a feature matching probability. Features in the target image that match features in the cloud-free image exhibit a high value of feature matching probability, and are considered unlikely to be obscured by clouds, and may be designated for inclusion in the cloud-free database.

Abstract: A lane marking detection apparatus, a lane marking detection method, and a lane marking detection program is provided, which can detect a lane marking precisely even when noise is present. The lane marking detection apparatus is provided with an original image acquiring means which acquires an original image obtained by imaging a road from a traveling object traveling along the road, a lane marking position detection means which detects the relative position of a lane marking included in the road, from the traveling object, based on the original image, and a examination means which examine the result of the detection obtained by the lane marking position detection means, based on a partial image of a first image that is an original image at time t0 and the partial image of a past image that is the original image captured before time t0.

Abstract: An operation method for a portable electronic device is provided. The portable electronic device includes a micro-controller, a ringing module, a g-sensor and an image capturing module. The operation method includes the following steps. When the ringing module is started up at a pre-set time, the g-sensor detects whether the portable electronic device is slanted. If the portable electronic device is slanted, the micro-controller enables the image capturing module to perform human-eye recognition. If human-eye recognition is performed successfully and lasts for a specific period, the micro-controller disables the ringing module.