Abstract: A method of and arrangement for mapping first range sensor data from a first range sensor to image data from a camera are disclosed. In at least one embodiment, the method includes: receiving time and position data from a position determination device on board a mobile system, as well as the first range sensor data from the first range sensor on board the mobile system and the image data from the camera on board the mobile system; identifying a first points cloud within the first range sensor data, relating to at least one object; producing a mask relating to the object based on the first points cloud; mapping the mask on object image data relating to the same object as present in the image data from the at least one camera; and performing a predetermined image processing technique on at least a portion of the object image data.

Abstract: A setting apparatus that configures a setting for detecting that an object existing at different positions in images corresponding to different times has passed through a detection line or a detection area composites, on an image, an indication indicating a trajectory of an object in an image, and outputs the image on which the indication is composited, as a setting window for setting the detection line or the detection area.

Abstract: The present invention relates to a method of reconstruction of an object from projections, more particularly to a quantitative reconstruction of an object from projection views of the object. For example, quantitative reconstruction of an image of a human breast from projection views generated by digital breast tomosynthesis (DBT), computed tomography (CT), or standard mammography, and use of the reconstruction to identify densest regions.

Abstract: A method for detecting and tracking a target object is described. The method includes performing motion-based tracking for a current video frame by comparing a previous video frame and the current video frame. The method also includes selectively performing object detection in the current video frame based on a tracked parameter.

Abstract: A measuring apparatus, method and program with which a distance between two points that are not within one photographing range can be easily measured is provided. According to an embodiment, a representative point is set in an image in which a start point is set, and the coordinates, of the points and characteristic quantity of a neighborhood image is stored. Hereafter in each image until an end point is set, a representative point of the most recent image is searched, the coordinates thereof are stored, a new representative point is set, the coordinates thereof and the characteristic quantity of the neighborhood image are stored, and the coordinates of the end point are stored. A vector between the respective two points connecting the start point, representative points and the end point in the sequence of setting is calculated, and the distance between the start point and the end point is calculated.

Abstract: A system and method for automated body mass index is disclosed. The disclosed method operates within a system architecture including one or more computing devices, one or more servers, and one or more databases. A processor operating within the one or more servers executes one or more algorithms for detecting relevant features associated with a potential client's multimedia information. The method may include calculating feature values, such as abdomen circumference, face width, face height, cheekbone width, jaw width, and neck width, and the like as well as calculating the body mass index of the potential client using one or more regression algorithms. A baseline and updated BMI may be determined, and used for determining a baseline and updated value.

Abstract: The moving object recognition system includes: a camera that is installed in a vehicle and captures continuous single-view images; a moving object detecting unit that detects a moving object from the images captured by the camera; a relative approach angle estimating unit that estimates the relative approach angle of the moving object detected by the moving object detecting unit with respect to the camera; a collision risk calculating unit that calculates the risk of the moving object colliding with the vehicle, based on the relationship between the relative approach angle and the moving object direction from the camera toward the moving object; and a reporting unit that reports a danger to the driver of the vehicle in accordance with the risk calculated by the collision risk calculating unit.

Abstract: An integrated circuit with optical flow computation circuitry is provided. The optical flow computation circuitry may include a first image shift register for receiving pixel values from a current video frame, a second image shift register for receiving pixel values from a previous video frame, column shift registers for storing column sums of various gradient-based values, square sum registers for storing square sums generated at least partly based on the column sum values, and an associated computation circuit that constructs a gradient matrix based on values stored in the square sum registers and that computes a 2-dimensional optical flow vector based on an inverse of the gradient matrix and differences between the current and previous frames. Optical flow computing circuitry configured in this way may be capable of supporting dense optical flow calculation for at least one pixel per clock cycle while supporting large window sizes.

Abstract: A method and an imaging system are disclosed. The method, for determining at least one value of at least one recording parameter for a recording of an X-ray image of a patient positioned on an examination table, uses contactless scanning of at least part of the surface of the patient via at least one electromagnetic sensor, to calculate the three-dimensional contour of the scanned surface without additional exposure to radiation. At least one anatomic landmark of the patient can be identified using the three-dimensional contour, and the position of the anatomic landmark is determinable in the coordinate system of the table. The value of the recording parameter is determinable using the position of the anatomic landmark. The value of the recording parameter is determinable quickly and easily since contactless scanning of surfaces can be achieved quickly and easily in terms of technology.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computerized travel services. One of the methods includes identifying photographs using an index of photographs, the photographs being identified from the index as photographs geographically related to a point of interest or destination and having a creation timestamp corresponding to a time of the year; determining for each of the photographs, a relevancy score based at least in part on: selection success data of the photograph for image queries referring to the point of interest or destination, and references to the point of interest or destination in documents associated with the photograph; and selecting a selected photograph from the photographs based at least in part on a respective visual quality score and the respective relevancy scores, the visual quality score representing a degree of visual quality of the respective photographs.

Abstract: A treatment apparatus for a subretinal injection into an eye includes a 3D imaging device configured to generate a 3D image of a retina and a choroid of the eye. The apparatus has a planning device for inputting at least one set position for an injection instrument to be used for the injection. The set position is a location indication in the 3D image. The apparatus includes a 2D imaging device to generate a surface image of the retina and supplement the image to form a supplemented image, via the 2D imaging device ascertaining in the surface image at least one location which, in the surface image, corresponds to the at least one set position indicated in the 3D image, and inserting into the surface image at least one mark that corresponds to the ascertained at least one location. A display device displays the supplemented image.

Abstract: A method for real-time correction of tissue compression for tracked ultrasound includes acquiring an ultrasound image of tissues of interest with an ultrasound probe having a probe surface, where the ultrasound probe is tracked to provide a position and an orientation of the probe surface of the ultrasound probe for the acquired ultrasound image; acquiring intraoperative measurements of the undeformed tissue surface; constructing a generic grid representation of tissues for use with a mathematical model of tissue biomechanics, where the generic grid representation is pre-aligned to the acquired ultrasound image by performing a calibration to the ultrasound probe; determining boundary conditions to the mathematical model represented by the generic grid representation; solving the mathematical model for 3D displacements in the generic grid representation of the tissues; and performing correction of tissue compression by using the reversed and interpolated 3D displacement field on the acquired ultrasound image.

Abstract: In the present embodiments, a statement related to an image point or an image region in a reconstructed x-ray image is made in relation to the reliability of the reconstructed grayscale value for the image points of a 2D/3D x-ray image. A confidence level is formed for the grayscale value from a first number of the available x-ray images in relation to a second number of required x-ray images for a complete reconstruction of the respective grayscale value of the 2D/3D x-ray image to be imaged.

Abstract: The present invention relates to a method and apparatus for measuring rotation parameters of a spine on medical images. The method comprises: selecting a reference image and a movement image from the medical images; determining a lower spine image and an upper spine image in the reference image, and determining a lower spine image and an upper spine image in the movement image; registering the lower spine image in the movement image with the lower spine image in the reference image; correcting the upper spine image in the movement image according to output parameters of registration of the lower spine images; superposing the upper spine image in the reference image with the corrected upper spine image in the movement image to obtain a superposed image; and calculating to obtain the rotation parameters according to a position difference between the upper spine image in the reference image and the upper spine image in the movement image on the superposed image.

Abstract: Various aspects of a method and system for detection of surgical gauze during anatomical surgery are disclosed herein. In accordance with an embodiment of the disclosure, the method is implementable in an image-processing engine, which is communicatively coupled to an image-capturing device that captures one or more video frames. The method includes the determination of a set of pixel characteristics based on color filtering of at least a portion of a video frame. Thereafter, one or more blocks of pixels of a portion of a surgical gauze are detected in the video frame based on the set of pixel characteristics. Further, additional pixels that correspond to a remaining portion of the surgical gauze are identified based on a plurality of metrics. The surgical gauze is recognized in the video frame based on the detection of the one or more blocks of pixels and the identification of the additional pixels.

Abstract: A system and method are provided for tracking a functional part of an instrument during an interventional procedure and displaying dynamic imaging corresponding to a functional part of the instrument. The system comprises: at least one instrument; a system for acquiring anatomical images relevant to guiding the instrument; a tether connected to the imaging system at a fixed end and connected to the instrument at a distal end, the tether comprising at least one longitudinal optical fiber with a plurality of optical shape sensors; an optical console that interrogates the sensors and detects reflected light; and a processor that calculates local curvature at each sensor location to determine the three-dimensional shape of the tether and determines the location and orientation of the instrument relative to the images using the local curvatures of the tether and the location of the fixed end of the tether.

Abstract: Merchandise management is implemented by recognizing a piece of merchandise in an image on a video in real time. A piece of merchandise and m-number of first local feature which are respectively 1-dimensional to i-dimensional feature vectors are stored after being associated with each other, n-number of feature points are extracted from an image on a video captured by an imaging unit, n-number of second local feature which are respectively 1-dimensional to j-dimensional feature vectors are generated, a smaller number of dimensions of the number of dimensions i and the number of dimensions j is selected, and a recognition that the merchandise exists in the image on the video is made when it is determined that a prescribed proportion or more of the m-number of first local feature of the selected number of dimensions correspond to the n-number of second local feature of the selected number of dimensions.

Abstract: Method to customize an application associated with a television experience based on the recognition of users located in front of a display and in the field of view of a camera, comprising the following steps: —an initialization step during which each user is enrolled in a database of a computer system and is defined by a profile referenced by a profile ID and comprising the user name, biometric data and additional personal data, —a finding step during which a wide image, acquired by said camera is scanned to isolate at least one user's faces, to define a marking area surrounding it, to memorize the position of said marking areas, —a matching step to extract the biometric data from said marking area, to match them with the biometric data of the profiles stored in the database, and to assign the detected profile ID with the marking area.

Abstract: A system uses a camera, a depth sensor, and a processing module to track a moving object in an athletic playing space over time. The processing module receives image frames from the camera and depth data from the depth sensor. The processing module analyzes the depth data to identify which of the pixels are in a plane of a sufficiently large size to indicate that the identified pixels correspond to a playing surface of the athletic playing space. The processing module then determines that gravity is in a direction normal to the identified plane. By finding the direction of gravity within the images, the algorithm for calculating performance parameters based on the trajectory of a moving object within the athletic playing space can be greatly simplified, thereby decreasing the processing burdens associated with calculating the performance parameters and providing more accurate trajectory estimations with fewer measured trajectory points.

Abstract: A method and apparatus for identifying an object are disclosed. The method includes: performing linear feature detection on an image to be identified by using a linear feature detecting method to obtain detected linear features, wherein the linear feature detection method transforms detection of linear features in an image space to detection of extremal points in another space and assigns larger weights to continuous image points than to discrete image points during the transformation by using a continuous cluster factor; and identifying an object to be identified from the detected linear features by considering characteristics of the object to be identified. The method and apparatus for identifying an object of the invention, when used to detect and identify weak linear objects in high resolution remote sensing images, can effectively suppress the system noise and ambient noise, thereby successfully identifying the interested object and avoiding false alarms.