Abstract: A computer-implemented method determines a geometric feature of a section of a blood vessel in an operating region. An image of the section is provided. An adapted blood vessel model is provided via image processing for the section by adapting a blood vessel model, which describes the section as a flow channel with a wall delimiting the latter and with an axis of symmetry. A centerline of the section of the blood vessel is determined as a contiguous pixel line. A relative spatial position of the side of the wall is ascertained based on the centerline and the image provided. The geometric feature is derived from the adapted blood vessel model. The disclosure also relates to a method for determining the length of a contiguous pixel line in an image and a system for determining a geometric feature of a section of an object.

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and audio and speaker systems. More specifically, disclosed are an apparatus and a method for processing signals for optimizing audio, such as 3D audio, by adjusting the filtering for cross-talk cancellation based on listener position and/or orientation. In one embodiment, an apparatus is configured to include a plurality of transducers, a memory, and a processor configured to execute instructions to determine a physical characteristic of a listener relative to the origination of the multiple channels of audio, to cancel crosstalk in a spatial region coincident with the listener at a first location, to detect a change in the physical characteristic of the listener, and to adjust the cancellation of crosstalk responsive to detecting the change in the physical characteristic to establish another spatial region at a second location.

Abstract: Apparatus and methods related to image processing are provided. A computing device can determine a first image area of an image, such as an image captured by a camera. The computing device can determine a warping mesh for the image with a first portion of the warping mesh associated with the first image area. The computing device can determine a cost function for the warping mesh by: determining first costs associated with the first portion of the warping mesh that include costs associated with face-related transformations of the first image area to correct geometric distortions. The computing device can determine an optimized mesh based on optimizing the cost function. The computing device can modify the first image area based on the optimized mesh.

Abstract: A decoding method of multi-view video information is provided. The decoding method of multi-view video information includes: receiving a bit stream about video data of a plurality of videos photographed by a plurality of cameras; generating first information by extracting depth information of a block in a video frame of a plurality of videos from video data included in the bit stream; generating second information by determining whether the same motion estimation is generated between video frames of the plurality of videos; generating third information by extracting pixel information of a block in the video frame of the plurality of videos; and performing block matching and disparity compensation between video frames of the plurality of videos by inputting the first information to third information to a disparity compensation model of multi-view video information which is generated by being trained in advance.

Abstract: Embodiments of the present disclosure provide a method and an apparatus for recognizing a traffic light, a device, a storage medium, and a vehicle. The method may include: obtaining semantic information of one or more traffic lights provided at an intersection, and recognizing states of the one or more traffic lights in an image captured by a camera; determining traffic lights representing same semantics from the one or more traffic lights based on the semantic information, and determining a uniform state corresponding to the traffic lights representing the same semantics according to states of the traffic lights representing the same semantics and preset confidences of respective traffic light states; and determining indication information of the traffic lights representing the same semantics according to the uniform state.

Abstract: A method includes receiving a first set of images from an image capture device of a vehicle. The method also includes performing a first analysis of movement of biomechanical points of occupants of the vehicle in the first set of images. The method further includes receiving an indication that a traffic incident has occurred. The method also includes receiving a second set of images from the image capture device corresponding to when the traffic incident occurred. The method further includes performing a second analysis of movement of the biomechanical points of the occupants in the second set of images. The method also includes determining a likelihood of injury or a severity of injury to the occupants based on the first analysis of movement and the second analysis of movement.

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a sequence controller and a storage unit. The sequence controller acquires magnetic resonance signals of a target imaging part including cerebrospinal fluid flowing therein of a subject in a condition where a supply of oxygen is receivable, at a plurality of time phases in an oxygen inhalation process of the subject. The storage unit stores therein the magnetic resonance signals acquired at the time phases.

Abstract: The present specification discloses a data processing method, apparatus, and equipment. The method includes: obtaining an image sent by a user, wherein the image to is collected by the user for a merchant; identifying carbon-saving behavior of the merchant, comprising processing the image using a trained image recognition model; and determining, based on the carbon-saving behavior, a value representing an amount of carbon saved by the merchant.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media for efficiently processing data of initial correspondence assignments, e.g., for three-dimensional reconstruction of an object. In some aspects, the system includes a processor configured to perform the acts of receiving a first set of images of a scene and a second set of images of the scene, determining a first pixel fingerprint based on the first set of images and a second pixel fingerprint based on the second set of images, generating a first binary pixel fingerprint based on the first pixel fingerprint and a second binary pixel fingerprint based on the second pixel fingerprint, and determining whether there exists a stereo correspondence between the first pixel fingerprint and the second pixel fingerprint at least in part based on comparing the first binary pixel fingerprint and the second binary pixel fingerprint.

Abstract: A system having an auxiliary color selection body and a method for determining the colors of a dental object, i.e. the colors of tooth, residual limb or gingiva, is provided, wherein the auxiliary color selection body (10) has a substantially U-shaped or L-shaped or ring-shaped structure, on which at least one, preferably 4, reference features (18), for recognition of the auxiliary color selection body (10) is/are attached, and wherein, with respect to the reference features (18), a plurality of tooth, stump or gingiva color fields (30) are arranged on the color selection auxiliary body (10). It is provided for an image of a tooth (16) to be taken with the auxiliary color selection body (10) being adjacent thereto on at least two sides and the tooth color is determined based on this image (FIG. 1).

Abstract: The invention relates to a system and method to control a workflow comprising at least one task to be performed by a person (P3), wherein information is provided about at least one certain object (20, 32, 36, 38) related to the at least one task of the workflow, eye data (24, 26) are captured of at least one eye of the person (P3), and in dependency of the eye data (24, 26) and the information about the at least one certain object (20, 32, 36, 38) it is checked whether at least one task condition consisting in whether the task had been performed and/or whether the task is allowed to be performed is fulfilled. The invention also relates to a system and method for providing a set of task-specific control parameters (CP).

Abstract: A method of pre-operatively developing a reverse shoulder arthroplasty plan can include receiving an image of a patient shoulder comprising a humerus and a glenoid. The image can be segmented to develop a 3D shoulder model. Virtual surgery can be performed on the 3D shoulder model to generate a modified shoulder model. The virtual surgery can include resecting and reaming a virtual humerus of the 3D shoulder model, and reaming a virtual glenoid of the 3D shoulder model. Selection of a humeral implant and selection of a glenoid implant can be received. A virtual representation of the humeral implant can be implanted on the virtual humerus and a virtual representation of the glenoid implant on the virtual glenoid to virtually update the modified shoulder model. A range of motion of the patient shoulder can be determined and a reverse shoulder arthroplasty can be finalized based on the range of motion.

Abstract: There is provided an image processing apparatus. An obtaining unit obtains a distance map and a shot image, the distance map representing a distribution of information related to a distance in a depth direction of a shooting range using a distribution of distance values, the shot image corresponding to the shooting range. A first filter unit applies a first filter to the distance map. A second filter unit applies a second filter to the distance map to which the first filter has been applied. The first filter is a filter that reduces a distribution of distance values in a predetermined distance value range in the distance map. The second filter is a filter that changes a distance value of a target distance in the distance map using weighted averaging.

Abstract: A computer-implemented method for creating an activity-optimized cutting guides for surgical procedures includes receiving one or more pre-operative images depicting one or more anatomical joints of a patient, and creating a three-dimensional anatomical model of the one or more anatomical joints based on the one or more pre-operative images. One or more patient-specific anatomical measurements are determined based on the three-dimensional anatomical model. A statistical model of joint performance is applied to the patient-specific anatomical measurements to identify one or more cut angles for performing a surgical procedure. A patient-specific cutting guide is created that comprises one or more apertures positioned based on the one or more cut angles.

Abstract: Disclosed is sampling HF-QRS signals from a number of subjects (or derived values or features), and using e.g. deep learning-convolutional neural networks to find features or values which are (i) sufficiently similar for the same subject over all samples, yet (ii) sufficiently different among different subjects to allow identification. Also disclosed is finding signatures which are sufficiently stable over a particular period such that these signatures are within a deviation threshold, and then monitoring all subjects to be identified at least as often as the period used to establish the deviation threshold.

Abstract: A respiratory motion signal generation method operates on emission data (22) of an imaging subject in an imaging field of view (FOV) acquired by a positron emission tomography (PET) or single photon emission computed tomography (SPECT) imaging device (10). An array of regions (32) is defined in the imaging FOV without reference to anatomy of the imaging subject. For each region of the array of regions defined in the imaging FOV, an activity position versus time curve (54) is computed from the emission data acquired by the PET or SPECT imaging device. Frequency-selective filtering of the activity position versus time curves is performed to generate filtered activity position versus time curves. At least one motion signal (66) is generated by combining the filtered activity position versus time curves of at least a selected sub-set of the regions.

Abstract: An apparatus is provided for automated object tracking in a video feed. The apparatus receives and sequentially processes a plurality of frames of the video feed to track objects. In particular, a plurality of objects in a frame are detected and assigned to a respective track fragment. A kinematic, visual, temporal or machine learning-based feature of an object is then identified and stored in metadata associated with the track fragment. A track fragment for the object is identified in earlier frames based on a comparison of the feature and a corresponding feature in metadata associated with the earlier frames. The track fragments for the object in the frame and the object in the earlier frames are linked to form a track of the object. The apparatus then outputs the video feed with the track of the object as an overlay thereon.

Abstract: A non-contact blood circulation detection system and method thereof is provided. The non-contact blood circulation detection system comprises a thermal image acquisition module, a non-contact blood oxygen detection device and an information processing module. The thermal image acquisition module faces to a biological skin and generates a thermal image corresponding to the biological skin when being activated; the non-contact blood oxygen detection device faces to a biological skin and generates a blood oxygen image corresponding to the biological skin when being activated, and the information processing module is in information connection with the thermal image acquisition module and the non-contact blood oxygen detection device so as to receive the thermal image and the blood oxygen image, and generates a blood circulation image on the basis of the thermal image and the blood oxygen image, wherein the blood circulation image is a two-dimensional image.

Abstract: Volume data is used for extracting a contour of a measurement object and measurement information describing anatomical structure useful for diagnosis is acquired from the contour. When volume data of a subject is inputted (S301), an image processing device detects feature points in the volume data (S302); detects contours of a plurality of parts in the volume data based on the detected feature points and anatomical definitions (S303); and optimizes boundary lines defining contours of parts contacting each other, out of the detected plural parts, so as to combine together the optimized contours of the plural parts for creating a contour of the measurement object (S304). Measurements are taken on diagnostic items useful for diagnosis based on the created contour (S305); and the acquired measurement information is outputted as measurement results (S306) which are displayed at a display.

Abstract: An automated method for assessing a behavioral profile of an individual based on image processing, the behavior profile being specific to a hypothetical or actual event, the method including the steps of detecting non-verbal communication from a physiognomical expression of the individual based on image data by a first computer algorithm, the image data being created by exposing the individual to a stimulus and obtaining the physiognomical expression of the individual in response to the stimulus, correlating features of the non-verbal communication to a topical area by a second computer algorithm, and generating a report corresponding to the individual that reflects the correlation between the non-verbal communication and the topical area, the report including the behavior profile of the individual.