A method for generating a panoramic image is disclosed. The method includes receiving a three-dimensional model of a target space and an initial panoramic image of the target space, the initial panoramic image having a latitude span less than a preset latitude span; determining a first set of coordinate parameters of a camera associated with the initial panoramic image and with respect to a reference frame associated with the three-dimensional model; mapping, based on the first set of coordinate parameters of the camera, data points of the three-dimensional model to a camera coordinate system associated with the camera to obtain an intermediate panoramic image; and obtaining a final panoramic image by merging the initial panoramic image and the intermediate panoramic image, the final panoramic image having a latitude span greater than or equal to the preset latitude span.

Embodiments of the present invention provide systems and methods to detect a moving anatomic feature during a treatment sequence based on a computed and/or a measured shortest distance between the anatomic feature and at least a portion of an imaging system.

Provided are a texture mapping method using a reference image, and a computing apparatus. In detail, a texture mapping method may provide color continuity using a reference image and a target image with respect to each triangular face without analyzing a spatial configuration of a three-dimensional mesh model, thereby reducing a sense of color difference with respect to a texture, and improving quality of the three-dimensional mesh model.

A method for generating a panoramic image is disclosed. The method includes receiving a three-dimensional model of a target space and an initial panoramic image of the target space, the initial panoramic image having a latitude span less than a preset latitude span; determining a first set of coordinate parameters of a camera associated with the initial panoramic image and with respect to a reference frame associated with the three-dimensional model; mapping, based on the first set of coordinate parameters of the camera, data points of the three-dimensional model to a camera coordinate system associated with the camera to obtain an intermediate panoramic image; and obtaining a final panoramic image by merging the initial panoramic image and the intermediate panoramic image, the final panoramic image having a latitude span greater than or equal to the preset latitude span.

An electronic device and method for shape refinement of a 3D mesh reconstructed from images is disclosed. A set of images of an object is acquired and used to estimate a first 3D mesh of a head portion of the object. A first set of operations is executed on the first 3D mesh to generate a second 3D mesh. The first set of operations includes a removal of one or more regions which are unneeded for head-shape estimation and/or a removal of one or more mesh artifacts associated with a 3D shape or a topology of the first 3D mesh. A 3D template mesh is processed to determine a set of filling patches which corresponds to a set of holes in the second 3D mesh. Based on the second 3D mesh and the set of filling patches, a hole filling operation is executed to generate a final 3D mesh.

Particular techniques for generating synthetic images and/or for training machine learning model(s) based on the generated synthetic images. For example, training a machine learning model based on training instances that each include a generated synthetic image, and ground truth label(s) for the generated synthetic image. After training of the machine learning model is complete, the trained machine learning model can be deployed on one or more robots and/or one or more computing devices.

Embodiments of this application relate to the field of image processing and display technologies, and provide a method for image processing based on vertical synchronization signals and an electronic device, to shorten a response latency of the electronic device and improve fluency (such as a touch latency) of the electronic device. A specific solution includes: drawing, by the electronic device, one or more first layers in response to a first vertical synchronization signal, and rendering the one or more first layers, and after rendering the one or more first layers, performing layer composing on the rendered one or more first layers to obtain a first image frame; and refreshing and displaying the first image frame in response to a second vertical synchronization signal.

A method and a system for synthesizing a novel-view image based on multiple 360 images for 6DOF virtual reality, in which a large-scale 6-DOF virtual environment is implemented, and a scene is synthesized at a novel viewpoint, are provided. The method includes performing a 3D reconfiguration procedure for the 360 images to recover 3D geometric information, and to reconfigure a virtual data map in which the multiple 360 images are integrated into one image, producing a view image corresponding to a viewpoint of a user by applying a view synthesis algorithm of projection & vertex warping process using a reference image which is closest to a viewpoint extracted from the virtual data map, and blending view images for 6DoF through a section formula for inner split based on a distance between a position of the reference image and a position of the viewpoint.

A computer simulation object such as a chair is described by voice or photo input to render a 2D image. Machine learning may be used to convert voice input to the 2D image. The 2D image is converted to a 3D asset and the 3D asset or portions thereof are used in the computer simulation, such as a computer game, as the object such as a chair.

A computer simulation object such as a chair is described by voice or photo input to render a 2D image. Machine learning may be used to convert voice input to the 2D image. The 2D image is converted to a 3D object and the 3D object or portions thereof are used in the computer simulation, such as a computer game, as the object such as a chair. A physics engine can be used to modify the 3D objects.