Abstract: A method for generating, by an encoder-based model, a three-dimensional (3D) representation of a two-dimensional (2D) image is provided. The encoder-based model is trained to infer the 3D representation using a synthetic training data set generated by a pre-trained model. The pre-trained model is a 3D generative model that produces a 3D representation and a corresponding 2D rendering, which can be used to train a separate encoder-based model for downstream tasks like estimating a triplane representation, neural radiance field, mesh, depth map, 3D key points, or the like, given a single input image, using the pseudo ground truth 3D synthetic training data set. In a particular embodiment, the encoder-based model is trained to predict a triplane representation of the input image, which can then be rendered by a volume renderer according to pose information to generate an output image of the 3D scene from the corresponding viewpoint.

Abstract: Exemplary systems and methods are directed to generating customized imagery includes receiving input parameters that define operations for one of plural disparate image processing tools in generating the customized imagery and define attributes of the customized imagery to be generated. Program code for generating an API is executed and the API establishes communication with each image processing tool. The API generates parameterized calls which provide instructions for a specified one of the image processing tools to generate the customized imagery. The image processing tool which receives the instructions is identified from the input parameters. The parameterized calls are sent to the parameterized calls to the image processing tool and the customized imagery is generated. The customized imagery is returned to the API and is stored in a database as training data for an artificial intelligence model.

Abstract: An eyewear having an electronic processor configured to identify a hand gesture including a sign language, and to generate speech that is indicative of the identified hand gesture. The electronic processor uses a convolutional neural network (CNN) to identify the hand gesture by matching the hand gesture in the image to a set of hand gestures, wherein the set of hand gestures is a library of hand gestures stored in a memory. The hand gesture can include a static hand gesture, and a moving hand gesture. The electronic processor is configured to identify a word from a series of hand gestures.

Abstract: The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.

Abstract: The technical problem of enhancing the quality of an image captured in low light conditions by a front facing camera is addressed by providing an adaptive front flash system. An adaptive front flash system automatically adjusts configuration parameters of an overlaid view that operates in lieu of a front flash, termed a front flash view. The configuration parameters are adjusted based on characteristics of the output of the digital image sensor of the front facing camera. Examples of configuration parameters of the front flash view include one or more of brightness of the display, color temperature of the front flash view, and transparency of the front flash view.

Abstract: The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.

Abstract: The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

Abstract: The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

Abstract: The technical problem of enhancing the quality of an image captured in low light conditions by a front facing camera is addressed by providing an adaptive front flash system. An adaptive front flash system automatically adjusts configuration parameters of an overlaid view that operates in lieu of a front flash, termed a front flash view. The configuration parameters are adjusted based on characteristics of the output of the digital image sensor of the front facing camera. Examples of configuration parameters of the front flash view include one or more of brightness of the display, color temperature of the front flash view, and transparency of the front flash view.

Abstract: The technical problem of automatically reprocessing an image captured by a camera in a manner that produces a personalized result is addressed by providing a customized image reprocessing system powered by machine learning techniques. The customized image reprocessing system is configured to automatically reprocess an image on a pixel level using a machine learning model that takes, as input, the image represented by pixel values, sensor data detected by the digital sensor of a camera at the time the image was captured, and, also, flash calibration parameters previously generated for that specific user.

Abstract: The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

Abstract: A single two-dimensional (2D) image can be used as input to obtain a three-dimensional (3D) representation of the 2D image. This is done by extracting features from the 2D image by an encoder and determining a 3D representation of the 2D image utilizing a trained 2D convolutional neural network (CNN). Volumetric rendering is then run on the 3D representation to combine features within one or more viewing directions, and the combined features are provided as input to a multilayer perceptron (MLP) that predicts and outputs color (or multi-dimensional neural features) and density values for each point within the 3D representation. As a result, single-image inverse rendering may be performed using only a single 2D image as input to create a corresponding 3D representation of the scene in the single 2D image.

Abstract: Systems and methods for receiving a media content item, causing a media content item interface containing the media content item to be displayed by a display device, and determining that a first contextual element is associated with the media content item displayed in the media content item interface. The systems and methods are include determining that a destructive action is applied to the media content item, and generating an overlay dialog component that is overlaid on top of the media content item in response to determining that the first contextual element is associated with the media content item in the media content item interface and that the destructive action has been applied to the media content item.

Abstract: The technical problem of enhancing the quality of an image captured in low light conditions by a front facing camera is addressed by providing an adaptive front flash system. An adaptive front flash system automatically adjusts configuration parameters of an overlaid view that operates in lieu of a front flash, termed a front flash view. The configuration parameters are adjusted based on characteristics of the output of the digital image sensor of the front facing camera. Examples of configuration parameters of the front flash view include one or more of brightness of the display, color temperature of the front flash view, and transparency of the front flash view.

Abstract: The technical problem of enhancing the quality of an image captured by a front facing camera in low light conditions is addressed by displaying the viewfinder of a front facing camera with an illuminating border, termed a viewfinder ring flash. A viewfinder ring flash acts as a ring flash in low light conditions. A viewfinder ring flash may be automatically generated and presented in the camera view user interface (UI) when the digital sensor of a front facing camera detects a low light indication based on intensity of incident light detected by the digital image sensor of the camera.

Abstract: The present invention relates to compositions and methods for the use of polymerase chain reaction (PCR) as a reporter assay for rapid and simultaneous bacterial identification and phenotype testing for antimicrobial susceptibility (AST). The current invention uses a strategy that has shown the ability for multiplexing and for handling polymicrobial samples for antimicrobial susceptibility testing.

Abstract: Systems and methods for receiving a media content item, causing a media content item interface containing the media content item to be displayed by a display device, and determining that a first contextual element is associated with the media content item displayed in the media content item interface. The systems and methods are include determining that a destructive action is applied to the media content item, and generating an overlay dialog component that is overlaid on top of the media content item in response to determining that the first contextual element is associated with the media content item in the media content item interface and that the destructive action has been applied to the media content item.

Abstract: The present invention relates to compositions and methods for the use of polymerase chain reaction (PCR) as a reporter assay for rapid and simultaneous bacterial identification and phenotype testing for antimicrobial susceptibility (AST). The current invention uses a strategy that has shown the ability for multiplexing and for handling polymicrobial samples for antimicrobial susceptibility testing.

Abstract: An eyewear having an electronic processor configured to identify a hand gesture including a sign language, and to generate speech that is indicative of the identified hand gesture. The electronic processor uses a convolutional neural network (CNN) to identify the hand gesture by matching the hand gesture in the image to a set of hand gestures, wherein the set of hand gestures is a library of hand gestures stored in a memory. The hand gesture can include a static hand gesture, and a moving hand gesture. The electronic processor is configured to identify a word from a series of hand gestures.

Abstract: The present invention relates to the use of sideromycins as additives in non-replicative transduction particles based systems either to limit cross-reactivity of unwanted organisms or to identify the organism being run on an antibiotic susceptibility assay (AST assay). Addition of the sideromycins removes or reduces light production from bacteria that are sensitive to them, allowing for prevention of cross-reactivity in AST assays and/or family, genus, and potentially species level bacteria strain identification when performing AST testing.