Abstract: Examples are disclosed that relate to hand gesture-based emojis. One example provides, on a display device, a method comprising receiving hand tracking data representing a pose of a hand in a coordinate system, based on the hand tracking data, recognizing a hand gesture, and identifying an emoji corresponding to the hand gesture. The method further comprises presenting the emoji on the display device, and sending an instruction to one or more other display devices to present the emoji.

Abstract: Systems and methods are disclosed for modifying labeled target content for a capture device. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining labeled target content, the labeled target content including one or more facial features that have been labeled; modifying the labeled target content to match dynamically captured content from a first capture device to generate modified target content; and storing the modified target content. The dynamically captured content may include the one or more facial features.

Abstract: Automatic central processing unit (CPU) usage optimization includes: monitoring performance activity of a workload comprising a plurality of threads; and modifying a resource allocation of a plurality of cores for the plurality of threads based on the performance activity.

Abstract: A decorative, nonwoven laminate and a method of forming, including a first side of a first nonwoven affixed to one or both of a) a first side of a polymeric sheet or b) a second nonwoven, wherein the first nonwoven exhibits a basis weight of 15 g/m2 to 2500 g/m2 and the second nonwoven exhibits a basis weight of 15 g/m2 to 1200 g/m2; and a colorant deposited on a second side of the first nonwoven. A topical coating may or may not be applied to improve durability of the printed surface layer. The decorative nonwoven laminate may also amount to a single layer of the first nonwoven, which then includes a layer of colorant and a topical coating over the colorant and single nonwoven layer.

Abstract: Techniques for selectively removing Monte Carlo (MC) noise from a geometric buffer (G-buffer). Embodiments identify the G-buffer for rendering an image of a three-dimensional scene from a viewpoint. Embodiments determine, for each of a plurality of pixels in the image being rendered, respective world position information based on the three-dimensional scene and a position and orientation of the viewpoint. A pre-filtering operation is then performed to selectively remove the MC noise from the G-buffer, based on the determined world position information for the plurality of pixels.

Abstract: Presented herein are systems and methods configured to generate virtual entities representing real-world users. In some implementations, the systems and/or methods are configured to capture user appearance information with imaging devices and sensors, determines correspondence values conveying correspondences between the appearance of the user's body or user's head and individual ones of default body models and/or default head models, modifies a set of values defining a base body model and/or base head model based on determined correspondence values and sets of base values defining the default body models and/or default head models. The base body model and/or base head model may be modified to model the appearance of the body and/or head of the user.

Abstract: Systems and methods are disclosed for modifying labeled target content for a capture device. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining labeled target content, the labeled target content including one or more facial features that have been labeled; modifying the labeled target content to match dynamically captured content from a first capture device to generate modified target content; and storing the modified target content. The dynamically captured content may include the one or more facial features.

Abstract: A molded automotive textile nonwoven and its associated method of manufacturing includes flat staple fibers exhibiting a width to thickness ratio of 2 to 10 and a denier in the range of 2 to 30. The molded automotive textile non-woven is a three-dimensional (3D) structure that includes one or a plurality of protrusions or recesses which fits to the metallic vehicle floor pan of the vehicle.

Abstract: Examples are disclosed that relate to evoking an emotion and/or other an expression of an avatar via a gesture and/or posture sensed by a wearable device. One example provides a computing device including a logic subsystem and memory storing instructions executable by the logic subsystem to receive, from a wearable device configured to be worn on a hand of a user, an input of data indicative of one or more of a gesture and a posture. The instructions are further executable to, based on the input of data received, determine a digital personal expression corresponding to the one or more of the gesture and the posture, and output the digital personal expression.

Abstract: Techniques for selectively removing Monte Carlo (MC) noise from a geometric buffer (G-buffer). Embodiments identify the G-buffer for rendering an image of a three-dimensional scene from a viewpoint. Embodiments determine, for each of a plurality of pixels in the image being rendered, respective world position information based on the three-dimensional scene and a position and orientation of the viewpoint. A pre-filtering operation is then performed to selectively remove the MC noise from the G-buffer, based on the determined world position information for the plurality of pixels.

Abstract: Presented herein are systems and methods configured to generate virtual entities representing real-world users. In some implementations, the systems and/or methods are configured to capture user appearance information with imaging devices and sensors, determines correspondence values conveying correspondences between the appearance of the user's body or user's head and individual ones of default body models and/or default head models, modifies a set of values defining a base body model and/or base head model based on determined correspondence values and sets of base values defining the default body models and/or default head models. The base body model and/or base head model may be modified to model the appearance of the body and/or head of the user.

Abstract: Techniques for selectively removing Monte Carlo (MC) noise from a geometric buffer (G-buffer). Embodiments identify the G-buffer for rendering an image of a three-dimensional scene from a viewpoint. Embodiments determine, for each of a plurality of pixels in the image being rendered, respective world position information based on the three-dimensional scene and a position and orientation of the viewpoint. A pre-filtering operation is then performed to selectively remove the MC noise from the G-buffer, based on the determined world position information for the plurality of pixels.

Abstract: A mixed-reality technique is described herein that associates an instance of program functionality with an anchoring human body part, such as a user's palm, fingertip, forearm, etc. The technique then presents a virtual object in physical relation to the anchoring body part. The virtual object provides an interface that allows the user to conveniently interact with the program functionality. In some implementations, the technique identifies the body parts of the user by generating a skeleton of the user's body. The technique generates the skeleton, in turn, based on image information captured by one or more cameras. In some implementations, the virtual object that is presented is also associated with a particular person with whom the user has a predefined relationship. The user may interact with the particular person via the virtual object, e.g., by receiving and sending messages from/to the person.

Abstract: Presented herein are systems and methods configured to generate virtual entities representing real-world users. In some implementations, the systems and/or methods are configured to capture user appearance information with imaging devices and sensors, determines correspondence values conveying correspondences between the appearance of the user's body or user's head and individual ones of default body models and/or default head models, modifies a set of values defining a base body model and/or base head model based on determined correspondence values and sets of base values defining the default body models and/or default head models. The base body model and/or base head model may be modified to model the appearance of the body and/or head of the user.

Abstract: Described herein are techniques for granting a privilege. A granting user is identified using facial recognition. The identity of the granting user is confirmed using voice recognition and privilege(s) to be granted by the granting user are determined. Using a device associated with the identified granting user, receipt of a code is confirmed. Optionally, confirmation that the code was audibly read by the granting user is performed using voice recognition. Once the granting user's identity has been confirmed using facial recognition and voice recognition, privilege(s) are granted to the other user(s).

Abstract: Presented herein are systems and methods configured to generate virtual entities representing real-world users. In some implementations, the systems and/or methods are configured to capture user appearance information with imaging devices and sensors, determines correspondence values conveying correspondences between the appearance of the user's body or user's head and individual ones of default body models and/or default head models, modifies a set of values defining a base body model and/or base head model based on determined correspondence values and sets of base values defining the default body models and/or default head models. The base body model and/or base head model may be modified to model the appearance of the body and/or head of the user.

Abstract: Provided are methods, systems, and computer-readable medium for synthetically generating training data to be used to train a learning algorithm that is capable of generating computer-generated images of a subject from real images that include the subject. The training data can be generated using a facial rig by changing expressions, camera viewpoints, and illumination in the training data. The training data can then be used for tracking faces in a real-time video stream. In such examples, the training data can be tuned to expected environmental conditions and camera properties of the real-time video stream. Provided herein are also strategies to improve training set construction by analyzing which attributes of a computer-generated image (e.g., expression, viewpoint, and illumination) require denser sampling.

Abstract: A decorative, nonwoven laminate and a method of forming, including a first side of a first nonwoven affixed to one or both of a) a first side of a polymeric sheet or b) a second nonwoven, wherein the first nonwoven exhibits a basis weight of 15 g/m2 to 500 g/m2 and the second nonwoven exhibits a basis weight of 15 g/m2 to 1200 g/m2; and a colorant deposited on a second side of the first nonwoven. A topical coating may or may not be applied to improve durability of the printed surface layer.

Abstract: Techniques for selectively removing Monte Carlo (MC) noise from a geometric buffer (G-buffer). Embodiments identify the G-buffer for rendering an image of a three-dimensional scene from a viewpoint. Embodiments determine, for each of a plurality of pixels in the image being rendered, respective world position information based on the three-dimensional scene and a position and orientation of the viewpoint. A pre-filtering operation is then performed to selectively remove the MC noise from the G-buffer, based on the determined world position information for the plurality of pixels.

Abstract: Techniques for displaying an augmented reality environment. Embodiments capture a visual scene for display. An embedded symbol associated with a garment worn by the first user within the visual scene is identified. Embodiments generate a virtual augmentation corresponding to the first user that is animated based on the captured visual scene. The virtual augmentation alters an appearance of the first user, such that the first user is depicted as wearing a virtual costume, the virtual costume determined to have a predefined relationship with the identified embedded symbol. A sequence of frames is rendered that depicts the first user augmented with the virtual augmentation in the augmented reality environment and depict at least a portion of the first user as wearing the virtual costume.