Abstract: A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, the object, and a radiation detector and wherein a digital representation of the radiation image of the object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of the projection images being generated by integrating X-ray beams continuously emitted during the relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.

Abstract: A target setting apparatus sets a target correcting a sight line detection portion to detect a sight line of a subject person. A deviation between a position of the target and a position detected as a center of the sight line detected by the sight line detection portion when the subject person is estimated to be gazing at the target is regarded as a detection error and applied to a correction. The target setting apparatus includes: a sight line range estimation portion that estimates a sight line range; a candidate point extraction portion that extracts a candidate point for the target from the sight line range; a candidate point evaluation portion that evaluates appropriateness of the candidate point as the target by using a plurality of indices; and a target setting portion that determines whether or not to set the candidate point as the target.

Abstract: An alignment tool is disclosed configured to provide accurate tire alignment analysis based on the comparison of video recordings capturing a direction of travel and data obtained from various vehicle on-board components.

Abstract: The invention relates to a method and an apparatus for reducing artefacts that are caused particularly by disturbance bodies and/or metal bodies in computed tomography (CT) images by means of a regulated iteration process that can be integrated particularly into a process for processing measurement data and preferably into a superordinate process for data alignment.

Abstract: A method for detecting at least one analyte in at least one sample of a body fluid is disclosed. Therein, at least one test element (124) is used, the at least one test element (124) having at least one test field (162) with at least one test chemistry (154) is used, wherein the test chemistry (154) is adapted to perform at least one optically detectable detection reaction in the presence of the analyte. The method comprises acquiring an image sequence of images of the test field (162) by using at least one image detector (178). Each image comprises a plurality of pixels. The method further comprises detecting at least one characteristic feature of the test field (162) in the images of the image sequence. The method further comprises correcting a relative position change between the image detector (178) and the test field (162) in the image sequence by using the characteristic feature, thereby obtaining a sequence of corrected images.

Abstract: Embodiments of the present invention provide a method for obtaining vital sign data of a target object, including: obtaining a 3D depth image of a target object; obtaining, according to depth values of pixels in the 3D depth image of the target object, framework parameters of the target object and a graphic contour of the target object, where the depth value, is obtained according to the distance information, indicates a distance between a point on the target object and the imaging device; retrieving a 3D model matching the framework parameters of the target object and the graphic contour of the target object from a 3D model library, and obtaining a parameter ratio of the 3D model; obtaining at least one real size of the target object; and obtaining vital sign data of the target object according to the parameter ratio of the 3D model and the at least one real size.

Abstract: Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.

Abstract: Techniques and architectures for video stabilization can transform a shaky video to a steady-looking video. A path smoothing process can generate an optimized camera path for video stabilization. With a large smoothing kernel, a path smoothing process can remove both high frequency jitters and low frequency bounces, and at the same time can preserve discontinuous camera motions (such as quick panning or scene transition) to avoid excessive cropping or geometry distortion. A sliding window based implementation includes a path smoothing process that can be used for real-time video stabilization.

Abstract: A method for setting the axis of rotation between a virtual maxillary model and a virtual mandible model to a virtual hinge axis representing the axis of rotation of the mandibular condyles includes the steps of, obtaining at least one 2D photograph of the face of a patient comprising at least one facial feature, obtaining a virtual dental model comprising the virtual maxillary model and the virtual mandible model representing at least a part of the dental situation of the patient, aligning the virtual dental model with the at least one facial feature, determining the virtual hinge axis based on the at least one 2D photograph, and setting the axis of rotation to the virtual hinge axis.

Abstract: Tracking candidate storage means 81 stores a plurality of candidates for one or more objects to be tracked. Control means 82 controls a likelihood of each of the plurality of candidates. The tracking candidate storage means 81 stores, for each of the plurality of candidates, label information identifying which object the candidate corresponds to, position information indicating a position of the object, and a likelihood. The control means 82 controls the likelihood of a candidate, according to the label information of one or more other candidates around the candidate determined based on the position information of the candidate.

Abstract: An example method for diagnosing tumors in a subject by performing a quantitative analysis of a radiological image can include identifying a region of interest (ROI) in the radiological image, segmenting the ROI from the radiological image, identifying a tumor object in the segmented ROI and segmenting the tumor object from the segmented ROI. The method can also include extracting a plurality of quantitative features describing the segmented tumor object, and classifying the tumor object based on the extracted quantitative features. The quantitative features can include one or more texture-based features.

Abstract: Disclosed are a passenger counting device, etc., for accurately counting the number of occupants in a vehicle, including persons seated in the rear seats thereof. This vehicle passenger counting device comprises: a specific part detection means for detecting a specific part of a vehicle from acquired images and generating specific part detection results; an association means for associating the specific part detection results across images in order to compute a degree of movement of the vehicle and generate vehicle movement information including the result of the said computation; a person detection means for detecting persons who are occupants of the vehicle in the images and generating person detection results including location information of the detected persons; and an integration means for determining the number of occupants by integrating the person detection results on the basis of the vehicle movement information.

Abstract: A computer implemented method for tracking a site in a series of images, the method comprising identifying a site to be tracked; selecting at least three non-collinear locations distributed around the sire in the reference image; selecting, from the reference image, a region of image data around each of the at least three non collinear locations; comparing each selected region with a second image and, based on these comparisons, identifying for each selected region a corresponding location in the second image, determining a single common affine transformation to map the at least three locations from the reference image onto the corresponding locations in the second image.

Abstract: One of the many factors that contribute to the successful outcome of a procedure, such as hair transplantation procedure, is the natural-looking appearance of hair throughout the patient's head. Methods and systems for generating a proposed procedure sites are provided, for example, based on desired density. Various methods for generating a hair transplantation treatment plan are also provided. Various techniques and methods described in the application provide for improved planning for natural looking hair.

Abstract: A scene recognition method includes acquiring an image and sensor data corresponding to the image and determining, in accordance with the sensor data, whether a scene of the image is a non-high-dynamic range (HDR) scene. The method also includes extracting an image feature of the image when it is not determined whether the scene of the image is the non-HDR scene and determining, in accordance with the image feature, whether the scene of the image is an HDR scene.

Abstract: The present invention relates to a medical data processing method of determining an image of an anatomical structure of a patient's body, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) GP atlas data describing an image-based model of at least part of a human body comprising the anatomical structure; b) acquiring (S1) patient medical image data describing a patient-specific medical image of the anatomical structure in the patient's body, wherein the patient medical image data comprises in particular three-dimensional image information c) determining (S2), based on the atlas data and the patient medical image data, atlas-patient transformation data describing a transformation between the image-based model and the anatomical structure in the patient's body; d) acquiring (S3, S4) medical indication data describing a medical indication which the anatomical structure is subject to; e) acquiring (S7) imaging parameter data describing at least one imagi

Abstract: A space control system and a detection system are disclosed. The detection system is configured for distinguishing a moving living object, e.g. a human being, from a moving machine object in a space. The system comprises an imaging apparatus configured for producing a plurality of images over time of at least a part of the space. The images have a good spatial resolution. The system also comprises a processor configured for determining motion signals of the moving living object and the moving machine object from the plurality of images. The processor is configured to transform the motion signals to a frequency domain and distinguish in the frequency domain between motion signals related to moving living objects and motion signals related to the moving machine objects. Accordingly, the system is enabled to detect at least one of the living object and the machine object in the part of the space on the basis of the distinguished motion signals.

Abstract: A traffic light detection device includes: an image capture unit capturing an image of surroundings; a traffic light location estimation unit estimating a location of a traffic light around the vehicle and setting a traffic light search area in which the traffic light is estimated to be present; a traffic light detection unit detecting the traffic light by searching the traffic light search area on the image; and an obstruction estimation unit. When the obstruction estimation unit estimates that a continuous obstruction state where a view of the traffic light is continuously obstructed occurs in the traffic light search area, the traffic light location estimation unit selects the traffic light search area based on the continuous obstruction state.

Abstract: Apparatus for assisting in merging postal articles with a stack of mailpieces that have already been sorted into a certain sequence, said apparatus comprising a merge table suitable for storing the stack of mailpieces on edge, a first camera suitable for forming a digital image of a current postal article to be merged with the stack of mailpieces, a second camera that observes the stack of mailpieces in the manner of an operator placed at one end of the merge table, and a monitoring and control unit with a display screen that is placed at the end of the merge table.

Abstract: A cell tracking device includes first and second image acquisition units, first and second tracking units and an interpolation unit. The first image acquisition unit picks up images of a cell under a short-time exposure condition at points in time to capture short-time exposure images. The second image acquisition unit picks up images of the cell under a long-time exposure condition to capture long-time exposure images, each image of the cell under the long-time exposure condition being picked up within each interval between the points in time. The first tracking unit tracks the cell based upon the short-time exposure images. The second tracking unit tracks the cell based upon the long-time exposure images. The interpolation unit interpolates a tracking result obtained by the second tracking unit with a tracking result obtained by the first tracking unit.