Abstract: A set of pre-operative images may be captured of an anatomical structure using an endoscopic camera. Each captured image is associated with a position and orientation of the camera at the moment of capture using image guided surgery (IGS) techniques. This image data and position data may be used to create a navigation map of captured images. During a surgical procedure on the anatomical structure, a real-time endoscopic view may be captured and displayed to a surgeon. The IGS navigation system may determine the position and orientation of the real-time image; and select an appropriate pre-operative image from the navigation map to display to the surgeon in addition to the real-time image.

Abstract: A system is configured to perform operations includes accessing a set of model points of a model of an anatomic structure of a patient, the model points being associated with a model space. A set of measured points of the anatomic structure of the patient are collected, the measured points being associated with a patient space. The set of model points are registered to the set of measured points using a first set of initial parameters to generate a first transformation. One or more sets of perturbed initial parameters are generated based on the first set of initial parameters. One or more perturbed registration processes are performed to register the set of model points to the set of measured points using the one or more sets of perturbed initial parameters respectively to generate corresponding perturbed transformations. A registration quality indicator is generated based on the first transformation and the one or more perturbed transformations.

Abstract: A method of global movement image stabilization may include calculating a global motion group parameter with respect to first and second sequential frames for two or more elementary 2D motion components of a motion group. Each global motion group parameter may be applied to a motion group vector field that corresponds to the elementary 2D motion component to which the respective global motion group parameter applies to generate a global motion group vector field corresponding to each elementary 2D motion component of the motion group. The global motion group vector fields may be summed pointwise to generate a global motion deformation vector field that provides global motion from the second frame to the first frame. The global deformation vector field may be cumulated with a previous cumulative global deformation vector field that provides global movement from the first frame to one or more previous frames to generate a current cumulative global motion deformation vector field.

Abstract: Examples disclosed herein may involve (i) obtaining a first layer of map data associated with sensor data capturing a geographical area, the first layer of map data comprising an aggregated overhead-view image of the geographical area, where the aggregated overhead-view image is generated from aggregated pixel values from a plurality of images associated with the geographical area, (ii) obtaining a second layer of map data, the second layer of map data comprising label data for the geographical area derived from the aggregated overhead-view image of the geographical area, and (iii) causing the first layer of map data and the second layer of map data to be presented to a user for curation of the label data.

Abstract: The present disclosure relates to identifying vehicles using wireless device identifiers. In accordance with aspects of the present disclosure, a system for identifying vehicles in a parking structure includes a camera configured to capture images of an area in the parking structure where the camera captures an image containing one or more vehicle(s), a detector configured to scan for wireless device identifiers in the area, and a processing system including an electronic storage. The processing system is configured to execute instructions to access the image containing the vehicle(s) in the area and access one or more wireless device identifier(s) scanned by the detector in the area, process the image containing the vehicle(s) to extract one or more license plate identifier(s) corresponding to the vehicle(s), and store in the electronic storage at least one record associating the license plate identifier(s) with the wireless device identifier(s).

Abstract: Techniques for improved camera calibration are disclosed. An image is analyzed to identify a first set of key points for an object. A virtual object is generated. The virtual object has a second set of key points. A reprojected version of the second set is fitted to the first set in 2D space until a fitting threshold is satisfied. To do so, a 3D alignment of the second set is generated in an attempt to fit (e.g., in 2D space) the second set to the first set. Another operation includes reprojecting the second set into 2D space. In response to comparing the reprojected second set to the first set, another operation includes determining whether a fitting error between those sets satisfies the fitting threshold. A specific 3D alignment of the second set is selected. The camera is calibrated based on resulting reprojection parameters.

Abstract: Systems and methods of generating an orthodontic model are disclosed. The method may include: generating an initial model of a patient dentition; generating a target model of the patient dentition; defining a plurality of caps and a plurality of links, wherein each link connects two of the plurality of caps; generating a relaxed model of a dental appliance from the plurality of caps and the plurality of links; generating a deformed model of a dental appliance from the plurality of caps and plurality of links; and determining a plurality of movements, wherein the plurality of moments transform the relaxed model to the deformed model and wherein the moments are configured to direct the patient dentition from the initial model to the target model.

Abstract: A field management apparatus 10 is provided with a learning model generation unit 11 that generates a learning model 15, to learn feature amounts of the image of the phenomenon that results from the fault in the field equipment, an image acquisition unit 12 that acquires an aerial image of a target region, an image specification unit 13 that applies the aerial image to the learning model 15, and specifies an image of the phenomenon that results from the fault in the field equipment in the aerial image, and a fault location specification unit 14 that specifies a fault location of the field equipment in the target region, based on the image of the phenomenon that results from the fault in the field equipment.

Abstract: According to one aspect of the present invention, a pattern inspection apparatus includes: a profile extraction circuit configured to extract each of a plurality of predetermined dimensional profiles for a plurality of pixels with a value of a differential intensity greater than or equal to a threshold value in the image; a wavelet transform circuit configured to perform, on each of the plurality of predetermined dimensional profiles, a wavelet transform while changing a scale variable of a mother wavelet function to a predetermined value; and a contour position extraction circuit configured to extract, for the each of the plurality of predetermined dimensional profiles, a maximum peak position as a contour position of the figure pattern from peak positions of a plurality of transformed profiles of after the wavelet transform in which the scale variable is set.

Abstract: A surgical planning system for the reconstruction of missing or damaged bone parts comprises processing circuitry for receiving 3D image data regarding at least one osseous donor area, processing the 3D image data into structured 3D image data where osseous portions are distinguished from soft tissues and/or vascular systems, reading in of 3D target data regarding a missing or damaged bone part, obtaining one or more 3D target curves in relation to the 3D target data and the 3D image data of the at least one osseous donor area, and segmenting the structured 3D image data with the osseous portions of the osseous donor area into segments, where the segments within the structured 3D image data are determined based on the 3D target data and an adaptation of sections of the one or more 3D target curves.

Abstract: The present invention provides a system for detecting whether a subject having a target suffers from an Alzheimer's disease. The system includes a multi-harmonic generation microscope and a processor. The multi-harmonic generation microscope images the target by a second harmonic generation (SHG) and a third harmonic generation (THG) to respectively obtain an SHG image and a THG image. The processor couples to the multi-harmonic generation microscope and configures to add a first color to the SHG image and a second color to the THG image to respectively obtain a color-added SHG image and a color-added THG image, and combine the color-added SHG image and the color-added THG image to obtain a combined image, wherein the combined image is used to determine whether the subject suffers from the Alzheimer's disease.

Abstract: A method and system for image processing are provided in the present disclosure. The method may include obtaining a plurality of source images generated by a plurality of imaging sensors. The method may also include processing each of the plurality of source images by: retrieving a plurality of source image blocks from the source image according to block position information associated with the corresponding imaging sensor; generating, for each of the plurality of source image blocks, a target image block based on the source image block; and forming a target image based on the generated target image blocks. The method may further include generating a combined image based on the target images.

Abstract: A method and an apparatus for detecting a usage status of a parking space, an electronic device, and a storage medium are disclosed. The method comprises: obtaining a monitored image of a to-be-detected parking space; identifying lane line position information of the to-be-detected parking space from the monitored image; identifying vehicle information from the monitored image, wherein the vehicle information comprises vehicle position information; and determining a usage status of the to-be-detected parking space based on a positional relationship between the lane line position information and the vehicle position information. Determining the usage status of the to-be-detected parking space based on the positional relationship between the lane line position information and the vehicle information is less affected by external environmental factors, which thus may improve the accuracy of a detection result of the usage status of the parking space.

Abstract: A method includes receiving a directive from a user to find an object in a geographical area, wherein the object is identified with an input label selected from a set of labels, obtaining sensor data in response to the directive for a real world physical object in the geographical area using one or more sensors, processing the sensor data with a plurality of automatic target recognition (ATR) algorithms to assign a respective ATR label from the set of labels and a respective confidence level to the real world physical object, and receiving modeled relationships within the set of labels using a probabilistic model based on a priori knowledge encoded in a set of model parameters. The method includes inferring an updated confidence level that the real world physical object actually corresponds to the input label based on the ATR labels and confidences and based on the probabilistic model.

Abstract: A method and a system for determining a center of resistance point of a tooth for orthodontic treatment planning are provided. The method comprises: obtaining a tooth mesh from image data associated with a tooth crown of a patient; identifying a mesiodistal center of the tooth crown; determining a reference plane in the image data to extend through the mesiodistal center; determining an intersection curve based on an intersection of the reference plane and the tooth mesh, the intersection curve following a shape of the surface of the crown at the reference plane; determining a tooth axis of the tooth crown based on the intersection curve; determining a crown height of the tooth crown based on the tooth axis; and determining the center of resistance of the tooth based on the determined crown height and the determined tooth axis.

Abstract: An image processing apparatus includes detecting means for detecting a first detected region and a second detected region from an input image, on the basis of a first detection criterion and a second detection criterion, respectively; image setting means for setting, as a target image subjected to correction, an image including the first detected region, and setting, as a reference image that is referred to in the correction, an image including the second detected region; accepting means for accepting, from a user, designation of a region in the target image and a correction instruction for the designated region; correction region setting means for identifying, in the reference image, a region corresponding to the designated region, and for setting a to-be-corrected region on the basis of the identified region and the second detected region; and correcting means for correcting the first detected region in the target image on the basis of the to-be-corrected region set in the reference image.

Abstract: A system and a method measure volumetric changes of brain structures. The method includes initializing an intensity value of all voxels of a 3D voxel dataset representing the brain of a subject to an initial value preferentially equal to 0. For all voxels that belong to a segmented brain structure for which reference data of a longitudinal reference model exists, automatically executing the following steps: calculating a deviation of a volume change for the segmented brain structure from the longitudinal reference model, normalizing the deviation to obtain a quantitative value of the volume change on a same scale for voxel's belonging to different brain structures; and setting the intensity value of the voxels to the previously obtained quantitative value Q. The voxels of the 3D voxel dataset are displayed in a form of a longitudinal deviation map.

Abstract: An object dataset creation or modification mechanism is provided for object dataset creation or modification using a labeled action-object video. For a plurality of frames of the labeled action-object video, an identification is made of a subset of frames where a bounding box object (BBO) exists. BBOs in the subset of frames where a BBO exists are pruned to identify sufficiently distinct BBOs thereby forming a set of pruned BBOs. For each pruned BBO in the set of pruned BBOs: an information addition score is determined; the information addition score is assessed; responsive to the information addition score being positively assessed, the pruned BBO is added to an object dataset; and, responsive to the information addition score being negatively assessed, the pruned BBO is discarded.

Abstract: A computing system generates a training data set for training the prediction model to detect defects present in a target surface of a target specimen and training the prediction model to detect defects present in the target surface of the target specimen based on the training data set. The computing system generates the training data set by identifying a set of images for training the prediction model, the set of images comprising a first subset of images. A deep learning network generates a second subset of images for subsequent labelling based on the set of images comprising the first subset of images. The deep learning network generates a third subset of images for labelling based on the set of images comprising the first subset of images and the labeled second subset of images. The computing system continues the process until a threshold number of labeled images is generated.

Abstract: The present invention discloses a system for automated vehicles license plates characters segmentation and recognition comprising an imaging processor connected to at least one image grabber module or camera. The image grabber module captures images of the vehicles and forwards it to said connected imaging processor and the imaging processor segments and recognizes the vehicles license plates character region including the region with deformed license plates characters in the captured vehicle images by involving binarization of maximally stable external regions corresponding to probable license plate region in the captured vehicle images.