Abstract: The invention relates to an assembly for calibrating a camera (31) to be calibrated, said assembly comprising: a first positioning base (43) for accommodating a reference camera adapter (40) or for accommodating an adapter (34) for the camera (31) to be calibrated; an auxiliary target (21); the reference camera adapter (40) for accommodating a reference camera housing (11) or the auxiliary target (21); the adapter (34) for accommodating the camera (31) to be calibrated; a second positioning base (41) for accommodating the reference camera housing (11); at least one calibration target (51, 52, 53) arranged such that it can be captured by the reference camera (11) accommodated by the first positioning base (43) or can be captured by the camera (31) to be calibrated; and the reference camera housing (11) for accommodating the reference camera (12, 13); wherein the first positioning base (43) is arranged (position 54) such that a first image captured by the reference camera (12, 13) accommodated in the first p

Abstract: A system for non-invasive hematological measurements includes a platform to receive a body portion of a user and an imaging device to acquire a set of images of a capillary bed in the body portion. For each image, a controller detects one or more capillaries in the body portion of the finger to identify a first set of capillaries by estimating one or more attributes of each capillary (e.g., structural attributes, flow attributes, imaging attributes, or combinations thereof), wherein at least one attribute of each capillary meets a predetermined criterion. The controller also identifies a second set of capillaries from the first set of capillaries such that each capillary of the second set of capillaries is visible in a predetermined number of images of the set of images.

Abstract: A reconstruction module may include at least one parameter interface to receive a set of measurement sequence parameters and a memory interface to a memory having a trained mathematical model stored in the memory. The trained mathematical model determines a results dataset containing at least one iterative denoising parameter and at least one edge enhancement parameter for at least one received measurement sequence parameter. A control of the reconstruction module controls a reconstruction of the medical images using a reconstruction algorithm based on the determined parameters for parameterizing an iterative denoising function and an edge enhancement function.

Abstract: Provided is an information processing device including: a control unit that performs position detection of an object, on which a light emitting unit or a reflective material is provided, on the basis of a captured image acquired by imaging of emitted light or reflected light of the object in a direction facing a side, on which the light emitting unit or the reflective material is provided, of the object, wherein the control unit adjusts algorithm for the position detection of the object according to an illuminance detection result of external light including at least a wavelength of the emitted light or the reflected light.

Abstract: A hybrid inference facility receives a sequence of data items. For each data item, the facility: forwards the data item to a server; subjects it to a local machine learning model to produce a local inference result for the data item; and the local inference result to a queue; aggregates the inference results contained by the queue to obtain an output inference result; and removes the oldest inference result from the queue. The facility receives from the server cloud inference results each obtained by applying a server machine learning model to one of the data items forwarded to the server. For each received cloud inference result, the facility substitutes the cloud inference result in the queue for the local inference result for the same data item.

Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.

Abstract: In a method or system in which an imaging element views navigation elements for e.g. navigation, the navigating elements may not be positioned optimally. Positions may exist in which the same angles exist from the imaging element to the same or similar navigating elements, whereby the positions are not unique. Navigation elements may then be repositioned, added or removed to make the positions unique.

Abstract: A surveillance system having an interface to a camera network for video surveillance of a surveillance area. The camera network includes a plurality of cameras each for capturing a surveillance subarea. The cameras are designed to provide surveillance images of the surveillance subareas. The surveillance system also includes a surveillance device for re-identifying people in the surveillance images. The surveillance device includes a person detection module for detecting people and an object detection module 10 for detecting objects. The surveillance device 5 includes an assignment module 12 designed to assign at least one item of object information to a person 4, and an action detection module 11 designed to detect an action of the person 4 on one of the objects 8.

Abstract: Embodiments of the present disclosure provide interaction methods and devices. The method can include obtaining a display object comprising a plurality of collage pictures for display; acquiring, in response to a switch operation for at least one collage picture of the plurality of collage pictures of the display object, a first target collage picture, wherein a first target content type of the first target collage picture matches a content type of the at least one collage picture; and replacing the at least one collage picture with the first target collage picture.

Abstract: With respect to a charged particle beam apparatus, provided is a technology capable of preventing a deterioration in image quality of a captured image. The charged particle beam apparatus includes an imaging device that irradiates a sample with a charged particle beam and forms an image from information of the sample and a computer. The computer stores each of images (scanned images) obtained by scanning the same area multiple times, classifies each of images into an image including a deteriorated image and an image not including the deteriorated image, and stores a target image obtained by performing image integration from the image not including the deteriorated image. The charged particle beam apparatus includes a database that stores data such as information obtained from an imaging device including the scanned image, classification results, and the target image.

Abstract: In various examples, optical flow estimate (OFE) quality is improved when employing a hint-based algorithm in multi-level hierarchical motion estimation by using different scan orders at different resolution levels. A scan of an image performed with a scan order may initially leverage OFEs from a previous scan of the image, where the previous scan was performed using a different scan order. The OFEs leveraged from the previous scan are more likely to be of high accuracy until sufficient spatial hints are available to the hint-based algorithm for the scan to reduce the impact of potentially lower quality OFEs resulting from the different scan order of the previous scan.

Abstract: A method and system perform single phase and multi-phase contour refinement of lesions. The method includes receiving a three dimensional input mask; receiving input slices from the medical images including a lesion; cropping the input slices with the input mask; performing lesion contour refinement for the cropped input slices and the input mask to obtain a predicted mask; and storing the predicted mask that includes 3D lesion contour refinement. A multiphase method includes deforming the 3D input mask from the reference phase to a target phase or warping the input slices from the target phase to the reference phase before contour refinement. The warped images generate an output mask in the reference phase coordinate system that is then deformed to the target phase coordinate system for display.

Abstract: Systems and methods seamlessly blend edited and unedited regions of an image. A computing system crops an input image around a region to be edited. The system applies an affine transformation to rotate the cropped input image. The system provides the rotated cropped input image as input to a machine learning model to generate a latent space representation of the rotated cropped input image. The system edits the latent space representation and provides the edited latent space representation to a generator neural network to generate a generated edited image. The system applies an inverse affine transformation to rotate the generated edited image and aligns an identified segment of the rotated generated edited image with an identified corresponding segment of the input image to produce an aligned rotated generated edited image. The system blends the aligned rotated generated edited image with the input image to generate an edited output image.

Abstract: Systems and methods for improved visual prosthetic and orthodontic treatment planning are provided herein. In some aspects, a method for preparing a tooth of a patient is disclosed. The method may comprise building a model of a dentition of the patient including a model of the initial shape of tooth. The method may also include determining a final prepared shape of the tooth. In some aspects, the method may also include generating a treatment plan comprising a plurality of steps to modify the initial shape of the tooth to the final prepared shape of the tooth. The method may also include rendering visualizations for the plurality of steps of the treatment plan. The visualizations may depict the removal of tooth material to modify the initial shape of the tooth to the final prepared shape of the tooth.

Abstract: Systems and methods of forming and analyzing a dissolvable article are provided herein. In an embodiment, a method of analyzing a dissolvable article includes providing a dissolvable article comprising a water-soluble block copolymer and a fragrance, capturing a plurality of images of a surface of the dissolvable article using a three dimensional imaging device, wherein the plurality of images have different spatial properties and wherein the plurality of images are of a substantially similar viewing area of the three-dimensional imaging device, and determining a measurement of pore density and surface roughness of the surface of the dissolvable article.

Abstract: A method and system for calibrating a lens. The method includes defining a plurality of omni-symmetrical regions within the lens, determining one or more localized lens parameters associated with each of the plurality of omni-symmetrical regions, and defining a localized set of calibration parameters for each of the plurality of omni-symmetrical region. The localized set of calibration parameters may then be employed in a computational image application.

Abstract: Technology is described for methods and systems for imaging an object (110). The method can include an image sensor (116) exposed to light (114) from an object (110) without passing the light through an image modification element. Light intensity of the light (114) can be stored as data in a medium. The image data can be analyzed at a processor (902) as a reconstructed image of the object (110).

Abstract: The subject disclosure presents systems and methods for improved meso-dissection of biological specimens and tissue slides including importing one or more reference slides with annotations, using inter-marker registration algorithms to automatically map the annotations to an image of a milling slide, and dissecting the annotated tissue from the selected regions in the milling slide for analysis, while concurrently tracking the data and analysis using unique identifiers such as bar codes.

Abstract: Stock management for wood and lumber products requires measuring and counting items individually on a continuous basis; considering a single lumber package alone can contain hundreds of pieces, it is a tedious task that is error prone when done manually. The invention provides a technology solution that involves taking a picture of products using a smart-phone, or a tablet's built-in camera, processing said picture data to detect individual items using Artificial Intelligence Object Detection methods, and utilizing special algorithms to measure and compute unit volume to present the user a detailed description, measure, count, and a summary. This process helps identify and take stock counts faster and with higher accuracy.

Abstract: A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.