Abstract: An image processing system for verifying that embedded digital content satisfies a predetermined criterion associated with display of the content, the image processing system a content embedding engine that embeds content in a resource provided by a content provider and that configures the resource for rendering, a rendering engine that renders the content embedded in the resource; an application interface engine that interfaces with the rendering engine and that generates a visualization of the resource and of the embedded content rendered in the resource; and an image processing engine that processes one or more pixels of the generated visualization of the resource and of the embedded content and the resource to verify that the specified visual element satisfies the predetermined criterion; and transmits verification data comprising an indication of whether the predetermined criterion is satisfied.

Abstract: A unique method and a device to generate free space “pop-out” & “sink-in” holograms is disclosed herein. The hologram disclosed herein does not use any special medium, mirrors, reflective screens or wearables such as headgear & special glasses. The hologram disclosed herein can be created in free space, outer space or in air, without any other optical components except for the special display screen of the hologram device. This device demonstrates a free space hologram and the hologram Augmented Reality & hologram Virtual Reality. A camera capable of hologram quality images equipped with a smart lens which mimics the human eye by changing it's lens aperture according to the light intensity as the pupil of the human eye and focus & capture “pop-out” & “sink-in” hologram images is disclosed herein. The audio which is incorporated with the device provide multi dimensional multi directional audio effects.

Abstract: There is provided an image processing system including a first information processing apparatus and a second information processing apparatus. The first information processing apparatus performs processing, for a plurality of captured images simultaneously captured by a plurality of image capturing devices, for identifying a generation target image section for which a free-viewpoint image is generated, performs control to transmit image data for the generation target image section in each of the plurality of captured images as image data used for generation of a free-viewpoint image in the second information processing apparatus, and generates an output image including a free-viewpoint image received.

Abstract: A method and apparatus for simulating a garment according to an example embodiment receive a user input for selecting, in a simulated three-dimensional (3D) garment worn on an avatar, any one of a plurality of objects corresponding to a next depth level to a depth level which is being currently displayed among depth levels for hierarchically displaying one or more pieces included in the 3D garment and two-dimensional (2D) patterns forming each of the pieces, display the next depth level by controlling visualization of the plurality of objects such that the selected object is not covered by at least one of the remaining objects other than the selected object of the plurality of objects, deform the selected object based on an input for editing the selected object corresponding to the next depth level, deform the 3D garment by reflecting deformation of the selected object, and output the deformed 3D garment.

Abstract: A video processing apparatus includes: an acquisition unit configured to acquire subject eye video data; an elimination unit configured to eliminate positional offset resulting from involuntary eye movement from the subject eye video data on the basis of the subject eye video data acquired by the acquisition unit; an emphasis unit configured to perform emphasis on the subject eye video data that was subjected to the elimination performed by the elimination unit; and an output unit configured to output the subject eye video data that was subjected to the emphasis by the emphasis unit.

Abstract: This invention provides a system and method that efficiently detects objects imaged using a 3D camera arrangement by referencing a cylindrical or spherical surface represented by a point cloud, and measures variant features of an extracted object including volume, height, and center of mass, bounding box, and other relevant metrics. The system and method, advantageously, operates directly on unorganized and un-ordered points, requiring neither a mesh/surface reconstruction nor voxel grid representation of object surfaces in a point cloud. Based upon a cylinder/sphere reference model, an acquired 3D point cloud is flattened. Object (blob) detection is carried out in the flattened 3D space, and objects are converted back to the 3D space to compute the features, which can include regions that differ from the regular shape of the cylinder/sphere. Downstream utilization devices and/or processes, such as part reject mechanism and/or robot manipulators can act on the identified feature data.

Abstract: Example image processing systems and methods are described. In one implementation, a recording device captures images and measurements from an inertial measurement unit (IMU). A rendering system generates encoded video data based on the captured images and measurements from the IMU, where the encoded video data includes at least one region that stores supplemental data. The encoded video data is then rendered for viewing by a user proximate a display device.

Abstract: Disclosed is a computer-implemented method of overlaying a representation of a medical instrument over a two-dimensional medical image. It finds at least one feature point along a detection line which is defined relative to the medical instrument in the medical image, calculates a geometrical quantity based on this feature point and adds the geometrical quantity to the two-dimensional medical image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that recommend editing presets based on editing intent. For instance, in one or more embodiments, the disclosed systems receive, from a client device, a user query corresponding to a digital image to be edited. The disclosed systems extract, from the user query, an editing intent for editing the digital image. Further, the disclosed systems determine an editing preset that corresponds to the editing intent based on an editing state of an edited digital image associated with the editing preset. The disclosed systems generate a recommendation for the editing preset for provision to the client device.

Abstract: A system and a method for generating a combined 3D model (95) of a sample comprising a sample imaging system (1) configured to generate a first 3D model (25) of the sample, a slice imaging system (2) configured to generate a second 3D model (615) of the sample, and a combiner engine (90) configured to generate a combined 3D model (95) based on the first 3D model and the second 3D model of the sample.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining source display content; identifying one or more objectionable portions included in the source display content; modifying the one or more objectionable portions included in the source display content to filter content in the one or more objectionable portions; generating a filtered display content, wherein the filtered display content includes the one or more modified objectionable portions and one or more non-objectionable portions of the source display content; and providing the filtered display content for rendering of a shared presentation.

Abstract: A computer-implemented method can include generating centerlines of a patient's cardiovascular network, determining geometric features of the cardiovascular network based on the centerlines and a three-dimensional (3D) computer model of the cardiovascular network, constructing a lumped parameter network (LPN) of resistors corresponding to the cardiovascular network, and solving a system of equations corresponding to flow and pressure for the LPN model.

Abstract: A method for mapping a three-dimensional (3D) point cloud model based on deep learning includes: extracting features of image data by using a convolutional neural network; extracting features of point cloud data by using a PointNet point cloud processing network, and constructing a 3D model of the point cloud data by using a triangular mesh; aligning the 3D model and an image spatially and temporally; performing projection mapping on the aligned 3D model and image, and superimposing location information in the point cloud data onto texture information of the image to obtain a first fused image; fusing the features of the point cloud data and the features of the image data to obtain a second fused image with a fused feature; and superimposing the first fused image onto the second fused image, and obtaining a superimposition weight by using the convolutional neural network, to generate a mapped 3D model.

Abstract: A method includes: displaying an interaction interface of an application, and when a preset operation performed by a user on the interaction interface is detected, decoding to-be-displayed image data of the application into bitmap data, and encapsulating the bitmap data into texture data; storing the texture data in a memory partition accessible to a graphics processing unit GPU; triggering the GPU to read the texture data and perform drawing processing to obtain rendered data; and triggering a display to display an image based on the rendered data.

Abstract: A computer-based system for generating customized character figures and customized stories. The system utilizes input data and transforms the data to display interactive character figures in an immersive digital form or in a physical form and generates a corresponding story to which the user can relate.

Abstract: An asset management system providing a 3D virtual workspace to track, manage, and view assets of a business. The 3D virtual space is configured to provide a remote system and method to manage the assets. The asset management system also includes an AI system configured to aid the system by providing suggestions and automated decision making in the management system.

Abstract: A floorplan modelling method and system. The floorplan modelling method includes receiving 2D images of each corner of an interior space from a camera, generating a corresponding camera position and camera orientation in a 3D coordinate system in the interior space for each 2D image, generating a depth map for each 2D image to estimate depth for each pixel, generating a corresponding edge map for each 2D image, and generating a 3D point cloud for each 2D image using the corresponding depth map and parameters of the camera. The floorplan modelling method includes transforming the 3D point clouds with the corresponding edge map into a 2D space in the 3D coordinate system of the camera, regularizing the 3D point clouds into 2D boundary lines, and generating a 2D plan of the interior space from the boundary lines.

Abstract: Methods and systems for rendering augmented reality display data to locations of a physical presentation environment based on a presentation configuration are provided. A physical presentation environment configuration may be accessed that includes locations of a physical presentation environment for mapping augmented reality display data. The augmented reality display data may include a plurality of augmented reality objects that are rendered for display. Presentation attributes of the augmented reality display data may be used in conjunction with the presentation configuration for mapping and rendering the augmented reality display data. The rendered augmented reality display data may be dynamically interactive, and may be generated based on previous presentation configurations, mapping preferences, mapping limitations, and/or other factors.

Abstract: A system or method according to at least one embodiment of the present disclosure includes receiving a preoperative image of a patient in a first posture; receiving an intraoperative image of the patient in a second posture; comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture; and determining, based on comparing the preoperative image of the patient in the first posture with the intraoperative image of the patient in the second posture, a difference between the first posture and the second posture, the adequate surgical changes are imparted to the second posture to achieve satisfactory surgical outcome.

Abstract: A method of forming a pixel-aligned volumetric avatar includes receiving multiple two-dimensional images having at least two or more fields of view of a subject. The method also includes extracting multiple image features from the two-dimensional images using a set of learnable weights, projecting the image features along a direction between a three-dimensional model of the subject and a selected observation point for a viewer, and providing, to the viewer, an image of the three-dimensional model of the subject. A system and a non-transitory, computer readable medium storing instructions to perform the above method, are also provided.