Abstract: A device, system and method automatically detects orientation and/or location of a person. To increase the robustness and accuracy, the device includes an image data interface (20) for obtaining image data of a person (110), which image data includes a sequence of image frames over time, a motion detector (21) for detecting motion within said image data, a motion intensity detector (22) for identifying motion hotspots representing image areas showing frequently occurring motion, and a person detector (23) for detecting the orientation and/or location of at least part of the person (110) based on the identified motion hotspots.

Abstract: An image processing apparatus is provided with a spatial information calculation unit for calculating spatial information of a subject, which is the information of an area in which the subject in an image is predicted to be present, a first area setting unit for setting a first area in the image based on the spatial information, a second area setting unit for setting a second area outside the first area, a first feature amount calculation unit for calculating a first feature amount of the first area, a second feature amount calculation unit for calculating a second feature amount of the second area, the second feature amount being a feature amount of the same type as the first feature amount, and an saliency calculation unit for calculating a degree of visual saliency of the subject.

Abstract: Scene-referred metadata comprising correspondence relationships between coded values used in generated images and reference values defined independent of any specific image may be provided as a part of image metadata for the generated images. Downstream image processing devices or image rendering devices may use the scene-referred metadata to perform image processing or rendering operations. When coded values of input images are altered in corresponding output images, the scene-referred metadata may be updated with new coded values used in the output images. Reference values refer to reference color values or reference gray levels. Coded values refer to color values or gray levels coded in pixels or sub-pixels of one or more images.

Abstract: Methods, apparatus, and computer readable storage media related to defining a planar model that approximates a plurality of surfaces of an object and/or applying the planar model to detect the object and/or to estimate a pose for the object. For example, the planar model may be compared to data points sensed by the a three-dimensional vision sensor of a robot to determine the object is present in the field of view of the sensor and/or to determine a pose for the object relative to the robot. A planar model comprises a plurality of planar shapes modeled relative to one another in a three-dimensional space and approximates an object by approximating one or more surfaces of the object with the planar shapes.

Abstract: A method and system for automatic location of a target treatment structure, such as a pulmonary vein ostium, from an anatomical image. The method includes calculating a most likely path of blood flow through a pulmonary vein based on a cross-sectional area minimization technique and calculating pulmonary vein geometry as a function of length. For example, a pulmonary vein ostium may be located by analyzing a change in pulmonary vein dimensional size or other anatomical factors, such as absolute size. The method may also include determining tissue thickness at the pulmonary vein ostium or other treatment size for treatment dose optimization. The method may be an algorithm performed by a processing unit of a navigation system or other component of a medical system.

Abstract: An X-ray image processing device for providing segmentation information with reduced X-ray dose that includes an interface unit, and a data processing unit. The interface unit is configured to provide a sequence of time series angiographic 2D images of a vascular structure obtained after a contrast agent injection. The data processing unit is configured to determine an arrival time index of a predetermined characteristic related to the contrast agent injection for each of a plurality of determined pixels along the time series, and to compute a connectivity index for each of the plurality of the determined pixels based on the arrival time index. The data processing unit is configured to generate and provide segmentation data of the vascular structure from the plurality of the determined pixels, wherein the segmentation data is based on the connectivity index of the pixels.

Abstract: A method of image processing in a structured light imaging system is provided that includes receiving a captured image of a scene, wherein the captured image is captured by a camera of a projector-camera pair, and wherein the captured image includes a binary pattern projected into the scene by the projector, applying a filter to the rectified captured image to generate a local threshold image, wherein the local threshold image includes a local threshold value for each pixel in the rectified captured image, and extracting a binary image from the rectified captured image wherein a value of each location in the binary image is determined based on a comparison of a value of a pixel in a corresponding location in the rectified captured image to a local threshold value in a corresponding location in the local threshold image.

Abstract: Method and/or apparatus embodiments can process volume image data of a subject. An exemplary method includes obtaining a first group of two-dimensional radiographic images of the subject, wherein each of the images is obtained with a detector and a radiation source at a different scan angle. The method arranges image data from the first group of images in an image stack so that corresponding pixel data from the detector is in register for each of the images in the image stack. Pixels that represent metal objects are segmented from the image stack and data replaced for at least some of the segmented pixels to generate a second group of modified two-dimensional radiographic images. The second group of images is combined with the first group to generate a three-dimensional volume image according to the combined images and an image slice from the three-dimensional volume image is displayed.

Abstract: Disclosed is an apparatus for hand gesture recognition based on a depth image, which includes a depth image acquiring unit configured to acquire a depth image including a hand region, a depth point classifying unit configured to classify depth points of a hand region in the depth image according to a corresponding hand portion by means of a machine studying method, and a hand model matching unit configured to match a three-dimensional hand model with the classified depth points by using distances between the classified depth points and a hand portion respectively corresponding to the depth points. A recognition method using the apparatus is also disclosed.

Abstract: A parking assist system of a vehicle includes a camera that, when disposed at the vehicle, has a field of view exterior of the vehicle. An image processor is operable to process image data captured by the camera to detect parking space markers indicative of a parking space and to identify empty or available parking spaces. The image processor includes a parking space detection algorithm that detects parking space markers by (i) extracting low level features from captured image data, (ii) classifying pixels as being part of a parking space line or not part of a parking space line, (iii) performing spatial line fitting to find lines in the captured images and to apply parking space geometry constraints, and (iv) detecting and selecting rectangles in the captured images.

Abstract: A method and a device for determining a concentration of lipids in a microorganism such as a micro-alga by illuminating a sample containing microorganisms and acquiring a total diffraction pattern of the sample is acquired, the total diffraction pattern including a plurality of unit diffraction pattern each associated with a microorganism.

Abstract: Described is a system for counting stacked items using image analysis. In one implementation, an image of an inventory location with stacked items is obtained and processed to determine the number of items stacked at the inventory location. In some instances, the item closest to the camera that obtains the image may be the only item viewable in the image. Using image analysis, such as depth mapping or Histogram of Oriented Gradients (HOG) algorithms, the distance of the item from the camera and the shelf of the inventory location can be determined. Using this information, and known dimension information for the item, a count of the number of items stacked at an inventory location may be determined.

Abstract: Systems and methods for processing distribution items having unique identifiers affixed thereon. The unique identifiers can include computer readable codes and written alphanumeric strings generated by a user. A system receives the unique identifier and requests payment information from a user, and stores an association between the unique identifier and the payment information, and processes the item according to the payment information.

Abstract: Described is a system for frontal and side doorway detection. Salient line segments are extracted from an image frame captured of an indoor environment. Existence of a vanishing point in the image frame is determined. If a vanishing point is detected with a confidence score that meets or exceeds a predetermined confidence score, then the system performs side doorway detection via a side doorway detection module. If a vanishing point is detected with a confidence score below the predetermined confidence score, then the system performs frontal doorway detection via a frontal doorway detection module. A description of detected doorways is output and used by a mobile robot (Unmanned Aerial Vehicle) to autonomously navigate the indoor environment.

Abstract: A medical image data processing apparatus comprises a registration unit configured to perform a non-rigid registration of a first set of medical image data and a second set of medical image data thereby to determine a deformation field, and a region identification unit configured to identify at least one region for which the deformation field is approximately homogeneous, and, for at least part of at least one identified region, to obtain a substantially homogeneous approximation of the deformation field.

Abstract: A method of displaying data in a data visualization computing system is described. Various methods of displaying the data are described including using a timeline, the data being aggregated based on time periods wherein the timeline consists of a plurality of time period sizes, the current selected time period covering the smallest time period, the period furthest on the timeline from the current selected period covering the largest time period, the timeline consisting of at least one time period of each time period size. Also described are improved methods of data selection and display.

Abstract: A computing device for detecting an object of interest in an image is provided. The computing device includes a memory device and a processor to process image data by evaluating pixel contrast to facilitate detecting an edge transition in an image, by identifying neighboring pixels that are above a predetermined contrast value, which represent a potential object of interest, filtering the pixels based on color information to identify areas where there is a color edge transition, applying a convolution filter mask to yield regions of pixels having a localized concentration of contrast and color changes, applying a threshold filter for identifying those pixel regions having values that are greater than a predetermined threshold value and grouping the identified pixel regions into one or more groups representing an object of interest, and generating an alert to notify an operator that the object of interest in the image has been detected.

Abstract: There is provide a medical image processing apparatus, a medical image processing method, and a medical image processing program that can accurately specify at least either vertebral bodies or intervertebral discs included in the vertebra even if parts of the vertebral bodies and the intervertebral discs are deformed. A candidate detection unit detects intervertebral disc candidates and vertebral body candidates from a medical image, and a centerline detection unit detects a spine centerline. A distribution generation unit generates the distribution of a feature amount indicating the intervertebral disc likeness and a feature amount indicating the vertebral body likeness on the spine centerline. A specification unit specifies at least either the intervertebral discs or the vertebral bodies included in the medical image based on the distribution.

Abstract: This invention provides a video processing apparatus for suppressing a decrease in search accuracy of an object of a search target based on a feature extracted from a degraded image in a video. The video processing apparatus includes an image degradation estimator that extracts an image in an image region used as an index of image degradation from a video and estimates a degree of image degradation in the image region, a feature extractor that extracts a feature of an object of a search target from the video, a feature database that stores the feature of the object of the search target, and a matcher that controls matching between the extracted feature and the stored feature based on the degree of image degradation estimated by the image degradation estimator, when searching for the object from the video.

Abstract: Camera pose optimization, which includes determining the position and orientation of a camera in three-dimensional space at different times, is improved by detecting a higher-confidence reference object in the photographs captured by the camera and using the object to increase consistency and accuracy of pose data. Higher-confidence reference objects include objects that are stationary, fixed, easily recognized, and relatively large. In one embodiment, street level photographs of a geographic area are collected by a vehicle with a camera. The captured images are geo-coded using GPS data, which may be inaccurate. The vehicle drives in a loop and captures the same reference object multiple times from the substantially same position. The trajectory of the vehicle is then closed by aligning the points of multiple images where the trajectory crosses itself. This creates an additional constraint on the pose data, which in turn improves the data's consistency and accuracy.