Example systems and methods for virtual visualization of a three-dimensional (3D) model of an object in a two-dimensional (2D) environment. The method may include providing an interactive catalog associated with the 3D model of the object while positioning the 3D model of the object onto the 2D environment. In one aspect, the method may include price and product detail information associated with the 3D model of the object.

Systems and methods are disclosed that facilitate tracking and rewarding health and fitness activities of users using blockchain technology. In an aspect, a system comprises a non-transitory memory comprising instructions, and one or more hardware processors coupled to the non-transitory memory and configured to read the instructions to cause the system to perform operations. The operations comprise receiving health and fitness information for entities, employing a blockchain network to store the health and fitness information for the entities, and sending a non-fungible token (NFT) to an entity of the entities in response to a subset of the health and fitness information associated with the entity satisfying a criterion.

In various examples, information may be received for a 3D model, such as 3D geometry information, lighting information, and material information. A machine learning model may be trained to disentangle the 3D geometry information, the lighting information, and/or material information from input data to provide the information, which may be used to project geometry of the 3D model onto an image plane to generate a mapping between pixels and portions of the 3D model. Rasterization may then use the mapping to determine which pixels are covered and in what manner, by the geometry. The mapping may also be used to compute radiance for points corresponding to the one or more 3D models using light transport simulation. Disclosed approaches may be used in various applications, such as image editing, 3D model editing, synthetic data generation, and/or data set augmentation.

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

A system comprises an encoder configured to compress attribute information and/or spatial for a point cloud and/or a decoder configured to decompress compressed attribute and/or spatial information for the point cloud. To compress the attribute and/or spatial information, the encoder is configured to convert a point cloud into an image based representation. Also, the decoder is configured to generate a decompressed point cloud based on an image based representation of a point cloud. A closed-loop color conversion process is used to improve compression while taking into consideration distortion introduced throughout the point cloud compression process.

Systems and methods for utilizing Augmented Reality (AR) processes to track cables among a tangled bundle of cables are provided. An AR method, according to one implementation, includes a step of obtaining an initial captured image showing a bundle of cables. The AR method also includes the step of processing the initial captured image to distinguish a selected cable from other cables of the bundle of cables. Also, the AR method includes displaying the initial captured image on a display screen while visually augmenting an image of the selected cable to highlight the selected cable with respect to the other cables.

A method is provided for selecting a transparency setting and color values of pixels in a virtual image. The virtual image can be formed by combining reference images taken at different angles to produce the virtual image that views an object at a new, uncaptured angle. The method includes determining for each pixel of the virtual image, what information it carries from the reference view images. The information of the pixel is used to define a pixel category, and the category is used to select, based on logical conditions, what information will be displayed by the pixel and to set the color of the pixels.

An apparatus includes a generation unit configured to generate shape information of an object in a captured image, a component acquisition unit configured to acquire an auxiliary light component representing intensity of an auxiliary light at each pixel of the captured image based on a light amount characteristic representing a light amount of the auxiliary light received by the object when the auxiliary light is emitted and the shape information of the object, a first correction unit configured to generate a first corrected image in which color of the captured image is corrected according to environmental light, a second correction unit configured to generate a second corrected image in which color of the captured image is corrected according to the auxiliary light, and a combining unit configured to combine the first corrected image and the second corrected image at a combination ratio calculated based on the auxiliary light component.

The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures a plurality of dimensions of a room of the home based upon processor analysis of the LIDAR data; builds a 3D model of the room based upon the measured plurality of dimensions; receives an indication of a proposed change to the room; modifies the 3D model to include the proposed change to the room; and displays a representation of the modified 3D model.

A system and method generating a virtual environment of an imaged space are disclosed. In one aspect, the system comprises a communication circuit configured to communicate via a network with one or more data sources and a memory configured to store instructions. The system further comprises one or more hardware processors configured to execute the instructions to receive a request to display a virtual environment, request an environment image for the imaged space, and receive the environment image. The one or more hardware processors are further configured to receive at least one item image of at least one item to be placed in the virtual environment, request generation of the virtual environment, receive the virtual environment comprising virtual representations for the imaged space and the at least one item, and provide the virtual environment for interaction by a user with the at least one item and the imaged space.