Abstract: An antenna according to an embodiment of the present disclosure includes a first substrate, the first substrate includes: a first base substrate; at least one first radiation unit on a side of the first base substrate; a first electrode layer on a side of the first base substrate away from the at least one first radiation unit; and at least one second radiation unit on a side of the at least one first radiation unit away from the first electrode layer; wherein an orthographic projection of each second radiation unit on the first base substrate at least partially overlaps an orthographic projection of one first radiation unit on the first base substrate; and an orthographic projection of the at least one first radiation unit on the first base substrate is within an orthographic projection of the first electrode layer on the first base substrate.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality element; automatically establishing a correspondence between the 3D body mesh associated with the real-world object and the external mesh; deforming the external mesh based on movement of the real-world object and the established correspondence with the 3D body mesh; and modifying the video to include a display of the augmented reality element based on the deformed external mesh.

Abstract: A system and/or method for imaging system calibration, including: determining a dense correspondence map matching features in a first image to features in a second image, and determining updated calibration parameters associated with the image acquisition system based on the matching features.

Abstract: The present invention discloses a fabrication method and use of a ?40 mm large-size and high-contrast fiber optic image inverter, belonging to the field of manufacturing of fiber optic imaging elements. The light-absorbing glass for preparing the ?40 mm large-size and high-contrast fiber optic image inverter consists of the following components in molar percentage: SiO2 60-69.9, Al2O3 1.0-10.0, B2O3 10.1-15.0, Na2O 1.0-8.0, K2O 3.0-10.0, MgO 0.1-1.0, CaO 0.5-5.0, ZnO 0-0.1, TiO2 0-0.1, ZrO2 0.1-1.0, Fe2O3 3.0-6.5, Co2O3 0.1-0.5, V2O5 0.51-1.5 and MoO3 0.1-1.0. The fiber optic image inverter has the advantages of low crosstalk of stray light, high resolution and high contrast.

Abstract: Methods and systems are disclosed for performing real-time deforming operations. The system receives an image that includes a depiction of a real-world object. The system applies a machine learning model to the image to generate a warping field and segmentation mask, the machine learning model trained to establish a relationship between a plurality of training images depicting real-world objects and corresponding ground-truth warping fields and segmentation masks associated with a target shape. The system applies the generated warping field and segmentation mask to the image to warp the real-world object depicted in the image to the target shape.

Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving a plurality of bone scale coefficients each corresponding to respective bones of a skeleton model; receiving a plurality of joint angle coefficients that collectively define a pose for the skeleton model; generating the skeleton model based on the received bone scale coefficients and the received joint angle coefficients; generating a base surface based on the plurality of bone scale coefficients; generating an identity surface by deformation of the base surface; and generating the 3D body model by mapping the identity surface onto the posed skeleton model.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality element; automatically establishing a correspondence between the 3D body mesh associated with the real-world object and the external mesh; deforming the external mesh based on movement of the real-world object and the established correspondence with the 3D body mesh; and modifying the video to include a display of the augmented reality element based on the deformed external mesh.

Abstract: Aspects of the present disclosure involve a system for providing virtual experiences. The system accesses, by a messaging application, an image depicting a person. The system generates, by the messaging application, a three-dimensional (3D) avatar based on the person depicted in the image. The system receives input that selects a pose for the 3D avatar and one or more fashion items to be worn by the 3D avatar and places, by the messaging application, the 3D avatar in the selected pose and wearing the one or more fashion items in an augmented reality (AR) experience.

Abstract: A system and/or method for imaging system calibration, including: determining a dense correspondence map matching features in a first image to features in a second image, and determining updated calibration parameters associated with the image acquisition system based on the matching features.

Abstract: A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value.

Abstract: A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a video that includes a depiction of a real-world object; generating a three-dimensional (3D) body mesh associated with the real-world object that tracks movement of the real-world object across frames of the video; obtaining an external mesh associated with an augmented reality element; automatically establishing a correspondence between the 3D body mesh associated with the real-world object and the external mesh; deforming the external mesh based on movement of the real-world object and the established correspondence with the 3D body mesh; and modifying the video to include a display of the augmented reality element based on the deformed external mesh.

Abstract: A system and/or method for imaging system calibration, including: determining a dense correspondence map matching features in a first image to features in a second image, and determining updated calibration parameters associated with the image acquisition system based on the matching features.

Abstract: A system and/or method for imaging system calibration, including: determining a dense correspondence map matching features in a first image to features in a second image, and determining updated calibration parameters associated with the image acquisition system based on the matching features.

Abstract: A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value.

Abstract: A system and/or method for imaging system calibration, including: determining a dense correspondence map matching features in a first image to features in a second image, and determining updated calibration parameters associated with the image acquisition system based on the matching features.

Abstract: A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value.

Abstract: A system and method for determining a correspondence map between a first and second image by determining a set of correspondence vectors for each pixel in the first image and selecting a correspondence vector from the set of correspondence vectors based on a cost value.

Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving a plurality of bone scale coefficients each corresponding to respective bones of a skeleton model; receiving a plurality of joint angle coefficients that collectively define a pose for the skeleton model; generating the skeleton model based on the received bone scale coefficients and the received joint angle coefficients; generating a base surface based on the plurality of bone scale coefficients; generating an identity surface by deformation of the base surface; and generating the 3D body model by mapping the identity surface onto the posed skeleton model.