The present invention is in the field of methods for determining material properties from foam samples. It relates to a computer-implemented method for determining a material property of a foam sample comprising (a) providing a representation of the sample, (b) extracting at least one structural feature from the representation, wherein the at least one structural feature comprises walls, struts, or nodes (c) providing the at least one structural feature to a material model suitable for obtaining at least one material property from the structural feature, and (d) outputting the at least one material property received from the material model.

The present disclosure relates to a method for inspecting a container body adapted and configured to hold substrates, comprising the steps of directing light from a light source onto a reflector element positioned within an interior space of the container body, such that the light is reflected to illuminate at least one interior surface of the container body, wherein the light is reflected by the reflector element in a diffuse manner and generating at least one image of the at least one interior surface by means of at least one camera, and evaluating the state of the container body on the basis of the at least one image.

The present disclosure relates to a method for inspecting a container body adapted and configured to hold substrates, comprising the steps of directing light from a light source onto a reflector element positioned within an interior space of the container body, such that the light is reflected to illuminate at least one interior surface of the container body, wherein the light is reflected by the reflector element in a diffuse manner and generating at least one image of the at least one interior surface by means of at least one camera, and evaluating the state of the container body on the basis of the at least one image.

Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Provided are a video processing method and apparatus, an electronic device, a storage medium and a program product. The method includes steps described below. A to-be-processed video is acquired, and a first face key point of a first target object in the to-be-processed video is recognized, where the first face key point corresponds to a mask key point in a three-dimensional human face mask special effect; and the three-dimensional human face mask special effect is added to video frames of the to-be-processed video to obtain a target video, where the mask key point in the three-dimensional human face mask special effect moves with the corresponding first face key point.

Provided are a video processing method and apparatus, an electronic device, a storage medium and a program product. The method includes steps described below. A to-be-processed video is acquired, and a first face key point of a first target object in the to-be-processed video is recognized, where the first face key point corresponds to a mask key point in a three-dimensional human face mask special effect; and the three-dimensional human face mask special effect is added to video frames of the to-be-processed video to obtain a target video, where the mask key point in the three-dimensional human face mask special effect moves with the corresponding first face key point.

Methods and systems are provided for generating augmented reality (AR) scenes where the AR scenes can be adjusted to modify at least part of an image of the physical features of a user to produce a virtual mesh of the physical features. The method includes generating an augmented reality (AR) scene for rendering on a display for a user wearing AR glasses, the AR scene includes a real-world space and virtual objects overlaid in the real-world space. The method includes analyzing a field of view into the AR scene from the AR glasses; the analyzing is configured to detect images of physical features of the user when the field of view is directed toward at least part of said physical features of the user. The method includes adjusting the AR scene, in substantial real-time, to modify at least part of the images of the physical features of the user when the physical features of the user are detected to be in the AR scene as viewed from the field of view of the AR glasses, wherein said modifying includes detecting depth data and original texture data from said physical features to produce a virtual mesh of said physical features; the virtual mesh is changed in size and shape and rendered using modified texture data that blends with said original texture data. In one embodiment, the modified physical features of the user appear to the user when viewed via the AR glasses as existing in the real-world space. In this way, when the physical features of a user are detected to be in the AR scene, the physical features are augment in the AR scene which can result in the self-perception of the user improving which in turn can provide the user with confidence to overcome challenging tasks or obstacles during the gameplay of the user.

Methods and systems are provided for generating augmented reality (AR) scenes where the AR scenes can be adjusted to modify at least part of an image of the physical features of a user to produce a virtual mesh of the physical features. The method includes generating an augmented reality (AR) scene for rendering on a display for a user wearing AR glasses, the AR scene includes a real-world space and virtual objects overlaid in the real-world space. The method includes analyzing a field of view into the AR scene from the AR glasses; the analyzing is configured to detect images of physical features of the user when the field of view is directed toward at least part of said physical features of the user. The method includes adjusting the AR scene, in substantial real-time, to modify at least part of the images of the physical features of the user when the physical features of the user are detected to be in the AR scene as viewed from the field of view of the AR glasses, wherein said modifying includes detecting depth data and original texture data from said physical features to produce a virtual mesh of said physical features; the virtual mesh is changed in size and shape and rendered using modified texture data that blends with said original texture data. In one embodiment, the modified physical features of the user appear to the user when viewed via the AR glasses as existing in the real-world space. In this way, when the physical features of a user are detected to be in the AR scene, the physical features are augment in the AR scene which can result in the self-perception of the user improving which in turn can provide the user with confidence to overcome challenging tasks or obstacles during the gameplay of the user.

An image quality evaluation method to be executed by an information processing apparatus includes: acquiring information about a step at a boundary portion between an image portion, which is formed using a recording material, and a base material portion, which is a ground of the image portion, and a gloss level of the image portion; and calculating an evaluation value of a relief feel on the basis of the acquired information about the step and the gloss level.