Abstract: A single image deblurring method via vertical and horizontal decomposition includes receiving, by an input unit of a deblurring network system, a single image; extracting, by an encoder, features from the received single image; decoding, by a horizontal decoder, the features provided from the encoder using a first convolution kernel to generate a first residual image; decoding, by a vertical decoder, the features provided from the encoder using a second convolution kernel generated by rotating the first convolution kernel to generate a second residual image; and synthesizing, by a synthesis unit, the first residual image and the second residual image into the received single image to generate a deblurred image.

Abstract: A method comprises displaying, on a graphical user interface (GUI), a first data visualization comprising a positional representation of a plurality of reaction sites from at least a portion of a substrate, wherein the positional representation of the first data visualization simultaneously indicates relative data quality of the plurality of reaction sites; and altering the first data visualization displayed on the GUI to a second data visualization, the second data visualization comprising the positional representation of the plurality of reaction sites from the at least the portion of the substrate, wherein the positional representation of the second data visualization simultaneously indicates relative data quality of the plurality of reaction sites from at least the portion of the substrate based on a comparison of the data quality values of the plurality of reaction sites an adjusted quality value threshold.

Abstract: This disclosure provides systems, methods, and devices that support image processing. In a first aspect, a method of image processing includes receiving a plurality of rays determined based on a plurality of image frames representing a scene around a plurality of cameras, each of the rays is associated with respective temporal information; determining, from a set of objects depicted by the plurality of image frames, a first object as moving, and a second object as stationary, relative to the plurality of cameras; determining, using a model, a first feature set indicative of the first object; determining, using the model, a second feature set indicative of the second object; and determining a three-dimensional representation of the scene based on the first feature set and the second feature set. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for mesh stitching for motion estimation and depth from stereo. A processor may obtain an indication of a mesh associated with a set of motion vectors for a first frame and a second frame in a plurality of frames. The processor may detect a set of regions in the mesh including a set of motion disparity values associated with the set of motion vectors, where each motion disparity value in the set of motion disparity values is less than a coherency threshold. The processor may calculate an adjustment to the mesh based on the region. The processor may output an indication of the adjustment to the mesh.

Abstract: Systems and methods of the present disclosure provide acquiring images corresponding to multiple perspectives of a piece of equipment to be modeled. A region of interest in a first image of the images determined to be less blurry than a blur threshold and a brightness of the first image is above a brightness threshold. Based on these threshold relationships a three-dimensional model of the piece of equipment is generated based at least in part on a subset of the images that include the first image.

Abstract: Embodiments of the present disclosure provide an image processing method and apparatus, an electronic device, and a readable storage medium. The method includes: acquiring a to-be-processed image, where the to-be-processed image includes a target object; acquiring, by adopting a feature model, normal feature information and target feature information of the target object, where the target feature information includes: depth feature information and/or tangent feature information; performing, based on the normal feature information and the target feature information, a lighting rendering on the target object in the to-be-processed image to obtain a lighting-rendered-image; and outputting the lighting-rendered-image. Compared with the prior art, in the present disclosure, a terminal device may perform the lighting rendering on the target object based on richer feature information of the target object, which can enrich a lighting rendering effect.

Abstract: A method and a server for adapting a diffusion model are provided. The method comprising: receiving a given plurality of images of a given object; receiving a respective textual description for the given object; generating, based on the given plurality of images, a training set of data including a plurality of training digital objects; sampling, from the plurality of training digital objects, a given reference training digital object for using during a validation step; in cycles, executing the validation step by feeding a given reference training digital object to the diffusion model; in response to a convergence metric associated with a loss function at a given cycle of executing the validation step being below a predetermined threshold, terminating the adapting the diffusion model.

Abstract: A method of creating and displaying a visually distinct rendering of an ultrasound image, acquired from an ultrasound scanner, comprises displaying, on a screen that is communicatively connected to the ultrasound scanner, an ultrasound image feed comprising ultrasound image frames, deploying an AI model to execute on a computing device communicably connected to the ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and segments boundaries of a feature or features, in whole or part, acquiring, at the computing device, a new ultrasound image during ultrasound scanning, processing, using the AI model, the new ultrasound image to identify and segment boundaries of a single feature or two or more features, in whole or part, on the new ultrasound image, thereby creating a single segmented boundary feature or two or more segmented boundary features, applying a graphic onto the single segmented boundary feature or the at least two segmented bound

Abstract: Method, apparatus, and system for mesh compression are provided. The process may include generating a texture plane associated with a mesh comprising three-dimensional coordinates using mesh parameterization. The process may include predicting, for a triangle in the texture plane, texture coordinates of a first vertex among vertices of the triangle based on an encoding status of texture coordinates of a second vertex and texture coordinates of a third vertex of the triangle. The process may further include determining a residual between the predicted texture coordinate of the first vertex and an actual texture coordinate of the first vertex; and encoding the residual using entropy coding.

Abstract: In the endoscopic examination support apparatus, three three-dimensional model generation means generates a three-dimensional model of a luminal organ in which an endoscope camera is placed, based on endoscopic images acquired by imaging an interior of the luminal organ with the endoscope camera. The unobserved area detection means detects an area estimated not to be observed by the endoscope camera, as an unobserved area, based on the three-dimensional model. The display image generation means generates a display image including information indicating an observation achievement degree for each of a plurality of sites of the luminal organ, based on the detection result of the unobserved area. The endoscopic examination support apparatus may be used to support user's decision making.

Abstract: A method includes obtaining, using at least one processing device of an electronic device, an input image containing blur. The method also includes generating, using the at least one processing device, an edge enhancement mask and a gain mask based on the input image. The method further includes generating, using the at least one processing device, a halo-suppressed edge mask based on the edge enhancement mask and the gain mask. In addition, the method includes generating, using the at least one processing device, a sharpened image based on the input image and the halo-suppressed edge mask.

Abstract: A method performed in a decoder includes receiving a coded video bitstream that includes one or more 2D meshes corresponding to a 3D mesh. The method includes reconstructing one or more boundary vertices of each of the one or more 2D meshes. The method includes determining whether a reconstruction mode for reconstructing one or more internal vertices of each of the one or more 2D meshes is one of (i) a sampling mode and a (ii) non-sampling mode. The method includes reconstructing the one or more internal vertices of each of the one or more 2D meshes based on the determined reconstruction mode. The method further includes reconstructing the 3D mesh based on the reconstructed one or more boundary vertices of each of the one or more 2D meshes and the reconstructed one or more internal vertices of each of the one or more 2D meshes.

Abstract: A plurality of images of an object may be processed. The plurality of images may comprise a first image having an annotation. The plurality of images may further comprise second images. The annotation may be absent from the second images. A placement of the annotation for the second images such that the annotation is configured to be included in the second images may be automatically determined. The second images may be caused to include the annotation in accordance with the determined placement. The annotated second images may be stored on a storage device.

Abstract: Users of electronic eyewear devices can interact with each other by sharing 3D objects (e.g., 2D or 3D augmented reality (AR) objects or scanned 2D or 3D images of real-world objects) with each other via local objects (real or virtual) in each user's environment established as personalized anchor points for social connection. When a user receives an object from another user, the user has the option to generate a connected session with other users that are co-located (physically or virtually at the same location) with the user. The co-located group of users in this new connected session may view the received object either on their personal electronic devices (e.g., smartphones) or on their electronic eyewear devices and can modify and annotate the shared object using collaboration software and AR display tools that enable modification and manipulation of the shared object.

Abstract: A method in an illustrative embodiment includes: acquiring an image set, where the image set includes a first plurality of images that can be classified into at least two categories; determining a corner case image set in the image set, where the corner case image set includes a second plurality of images that tend to be incorrectly classified; training an image generator with at least some images in the second plurality of images and first guidance associated with the at least some images; and generating an additional image by the trained image generator with a first image in the second plurality of images and additional guidance, where the additional guidance is different from the first guidance. By means of the technical solutions of the present disclosure, an image generation efficiency can be improved, and the quality of generated images can be enhanced, thereby improving user experience.

Abstract: A device and method for precise selection of a space coordinate by means of a digital image. A digital image of surface elements in a three-dimensional space and a point cloud are provided, with space coordinates allocated to the points which form the point cloud, and surface elements allocated to the points in the three-dimensional space. The surface elements in the three-dimensional space are visualised by a first display. A pixel of the digital image is tagged, and approximated space coordinates for the tagged pixel are determined, which correspond to the surface element visualised by the tagged pixel in three-dimensional space. Subsequently, a supplementary view is superimposed, which displays the points of the point cloud located within a limited three-dimensional environment of the approximate space coordinates determined for the tagged pixel in a second display. Finally, a point of the point cloud is selected in the supplementary view.

Abstract: A method, an apparatus for encoding at least one component of at least one attribute of an animated 3D object and a method and an apparatus for decoding at least one component of at least one attribute of an animated 3D object are disclosed. The at least one component of the at least one attribute of the animated 3D object is encoded by reframing values of the attributes into a first subset and a second subset, wherein the first subset of values comprises values of the at least one component being in a range of values, and the second subset of values comprising values of the at least one component being outside the range of values, and encoding the first subset and the second subset of values.

Abstract: A method including receiving, at an encoder, a first original polygonal mesh and a second distorted polygonal mesh, the first original polygonal mesh being an original polygonal mesh and the second polygonal mesh being a distorted polygonal mesh; converting the first polygonal mesh and the second polygonal mesh into two or more triangle meshes by subdividing the plurality of polygon faces of each of the first polygonal mesh and the second polygonal mesh into a plurality of triangle faces; sampling a plurality of points on each of the plurality of triangle faces from both the first and the second polygonal meshes; generating at least a first sampled point cloud for one of the first or the second polygonal mesh using the sampled plurality of points; and computing a geometry and attribute distortion profile between the first and the second polygonal meshes based on at least the first sampled point cloud.

Abstract: Techniques are described with respect to a system, method, and computer product for managing a risk-free walkway. An associated method includes defining a virtual space in augmented reality and determining a geofence between at least a contaminated area and the risk-free walkway that avoids the contaminated area. The method further includes rendering augmented reality content in the virtual space with the risk-free walkway being associated with a user.

Abstract: A method for generating a vehicle-mounted smart sticker includes acquiring model data of a vehicle body space, positioning at least one region inside the vehicle body space by using at least one image capturing device, tracking at least one object inside the vehicle body space for positioning at least one object image, and generating an image layer of a smart sticker according to the model data of the vehicle body space, positioning data of the at least one region inside the vehicle body space, and the at least one object image. A range of the image layer of the smart sticker corresponds to a range of the at least one region. The image layer of the smart sticker and the at least one object image are non-overlapped.