Abstract: Embodiments include systems and methods for generating a 3D mesh from a video stream or other image captured contemporaneously with AR data. The AR data is used to create a depth map, which is then fused with images from frames of the video to form a full 3D mesh. The images and depth map can also be used with an object detection algorithm to recognize 3D objects within the 3D mesh. Methods for fingerprinting the video with AR data captured contemporaneously with each frame are disclosed.

Abstract: Methods and systems for the remote delivery of professional services, using augmented reality (AR), are disclosed. In embodiments, a user scans or acquires a physical marker, such as an optical code or radio beacon. The physical marker provides information to the user's device to allow it to connect to a server. The physical marker may also provide contextual data, possibly in conjunction with contextual data from the user's device. The server then provides a list of professionals on the basis of the contextual data. The user selects a professional, and the server initiates a video session between a user device and a professional device, where the professional can superimpose one or more AR objects on the video, to be displayed on the user device.

Abstract: Embodiments include systems and methods for generating a 3D mesh from a video stream or other image captured contemporaneously with AR data. The AR data is used to create a depth map, which is then fused with images from frames of the video to form a full 3D mesh. The images and depth map can also be used with an object detection algorithm to recognize 3D objects within the 3D mesh. Methods for fingerprinting the video with AR data captured contemporaneously with each frame are disclosed.

Abstract: Methods for augmentation of previously captured augmented reality data with subsequently captured data are disclosed. A subsequent capture of a scene and associated AR data, such as a point cloud, may be correlated with the previously captured data by various methods, including image matching, object recognition, and geolocation referencing. Following correlation, the previously captured data may be augmented by the AR data from the subsequent capture, which may include adding or deleting points. Some existing points may be modified in some aspects where a subsequent capture includes more reliable data.

Abstract: Methods and systems for the remote delivery of professional services, using augmented reality (AR), are disclosed. In embodiments, a user transmits an image or video to a server, which provides a list of professionals on the basis of object recognition performed on the image or video. The user selects a professional, and the server initiates a video session between a user device and a professional device, where the professional can superimpose one or more AR objects on the video, to be displayed on the user device.

Abstract: A platform for synchronizing augmented reality (AR) views and information between two or more network connected devices is disclosed. A first device captures a video stream and associated spatial information, and transmits the video stream and spatial information to a second device. A user of the second device views the video stream, and inserts one or more AR objects into the video stream, with reference to the spatial information. The second device transmits the AR objects and spatial information references to the first device, which then renders the one or more AR objects into the video stream, using the spatial information references to locate the AR objects in each video stream frame.