This application provides a method for reconstructing a three-dimensional model, a method for training a three-dimensional reconstruction model, an apparatus, a computer device, and a storage medium. The method for reconstructing a three-dimensional model includes: obtaining an image feature coefficient of an input image; respectively obtaining, according to the image feature coefficient, a global feature map and an initial local feature map based on a texture and a shape of the input image; performing edge smoothing on the initial local feature map, to obtain a target local feature map; respectively splicing the global feature map and the target local feature map based on the texture and the shape, to obtain a target texture image and a target shape image; and performing three-dimensional model reconstruction according to the target texture image and the target shape image, to obtain a target three-dimensional model.

Examples of methods for determining displacement maps are described herein. In some examples of the methods, a method includes determining a displacement map for a three-dimensional (3D) object model based on a compensated point cloud. In some examples, the method includes assembling the displacement map on the 3D object model for 3D manufacturing.

An ophthalmic information processing apparatus includes a specifying unit and an image deforming unit. The specifying unit is configured to specify a three-dimensional position of each pixel in a two-dimensional front image depicting a predetermined site of a subject's eye, based on OCT data obtained by performing optical coherence tomography on the predetermined site. The image deforming unit is configured to deform the two-dimensional front image, by changing position of at least one pixel in the two-dimensional front image based on the three-dimensional position, to generate a three-dimensional front image.

A high-precision map construction method, apparatus, and electronic device are provided. The method can include: displaying a first color image corresponding to a first track point; according to a first color sub-image and a depth image corresponding to the first track point, obtaining point cloud data corresponding to the first sub-color image, wherein the first sub-color image is a sub-image corresponding to an element to be added in the first color image, and the element to be added is an element to be added in a high-precision map for display; extracting a bounding box corresponding to the point cloud data; and generating a newly-added three-dimensional element according to the bounding box in the high-precision map.

In one embodiment, a computing system may update a first 3D model of a region of an environment based on comparisons between the first 3D model and first depth measurements of the region generated during a first time period. The computing system may determine that the region is static by comparing the first 3D model to second depth measurements of the region generated during a second time period. The computing system may in response to determining that the region is static, detect whether the region changed after the second time period based on comparisons between a second 3D model of the region and third depth measurements of the region generated after the second time period, the second 3D model having a lower resolution than the first 3D model. The computing system may in response to detecting a change in the region, update the first 3D model of the region.

Dynamic virtual content(s) to be superimposed to a representation of a real 3D scene complies with a scenario defined before run-time and involving real-world constraints (23). Real-world information (22) is captured in there al 3D scene and the scenario is executed at runtime (14) in presence of there al-world constraints. When there al-world constraints are not identified (12) from there al-world information, a transformation of the representation of the real 3D scene to a virtually adapted 3D scene is carried out (13) before executing the scenario, so that the virtually adapted 3D scene fulfills those constraints, and the scenario is executed in the virtually adapted 3D scene replacing the real 3D scene instead of there al 3D scene. Application to mixed reality.

A system for creating at least one model of a bone and implanted implant comprises a processing unit; and a non-transitory computer-readable memory communicatively coupled to the processing unit and comprising computer-readable program instructions executable by the processing unit for: obtaining at least one image of at least part of a bone and of an implanted implant on the bone, the at least one image being patient specific, obtaining a virtual model of the implanted implant using an identity of the implanted implant, overlaying the virtual model of the implanted implant on the at least one image to determine a relative orientation of the implanted implant relative to the bone in the at least one image, and generating and outputting a current bone and implant model using the at least one image, the virtual model of the implanted implant and the overlaying.

Methods and systems are disclosed for displaying an augmented reality virtual object on a multimedia device. One method comprises detecting, in an augmented reality environment displayed using a first device, a virtual object; detecting, within the augmented reality environment, a second device, the second device comprising a physical multimedia device; and generating, at the second device, a display comprising a representation of the virtual object.

A notched 2D shape may encode information. For instance, a physical tag may display, form or include a polygon that is modified by notches and by one or more holes. This notched 2D shape may encode data that identifies, or provides information regarding, a physical product to which the tag is physically attached. Alternatively, this notched 2D shape may encode any other type of information, such as information about what we sometimes call a product shape or shape matrix. The notched shape may be an octagon that is modified by notches and by one or more holes.

The present disclosure is related to systems and methods for orthosis design. The method includes obtaining a three-dimensional (3D) model associated with a subject. The method includes obtaining one or more reference images associated with the subject. The method includes determining, based on the 3D model and the one or more reference images, orthosis design data for the subject. The orthosis design data may be used to determine an orthosis for the subject.