Verizon Patent and Licensing Inc.

Gang Lin

Vinaya Kumar Polavarapu

Nikhil Sadashiv Pantpratinidhi

Adwait Ashish Murudkar

Christian Egeler

Pai Moodlagiri

Sergey Virodov

Vinay Polavarapu

Paul Duree

William Patrick Dildine

Yiyong Tan

Alexander Zilbershtein

Paul Cannon

An exemplary method includes a scene annotation system accessing image scan information of a scene captured by an imaging device of a computing device, generating, based on the image scan information, depth data associated with one or more objects in the scene, providing a two-dimensional (2D) annotation grid for concurrent display together with an image of the scene, at least part of the 2D annotation grid mapped to the depth data, receiving a user input (e.g., via hand gesture, touch screen, mouse, and/or keyboard) that selects a portion of the 2D annotation grid and a corresponding position within the scene where a digital object will be anchored based on the depth data, and instructing the computing device to display, by way of a display device of the computing device and based on the user input, the digital object anchored at the corresponding position within the scene.

Systems and methods for annotating a scene to include digital objects

An illustrative room identification system performs augmented reality room identification based on free-hand image capture and room-object profile data. The room identification system obtains a set of reference room-object profiles for a set of rooms associated with an experience presented by an augmented reality presentation device. The room identification system generates a live room-object profile based on an image captured by the presentation device during the augmented reality experience, the image depicting a particular room of the set of rooms. Based on the live room-object profile and the set of reference room-object profiles, the room identification system determines that the presentation device is located in the particular room of the set of rooms and provides, to the presentation device, an indication of the determination that the presentation device is located in the particular room. Corresponding methods and systems are also disclosed.

Methods and systems for augmented reality room identification based on room-object profile data

An illustrative augmented reality tracking system obtains a volumetric feature descriptor dataset that includes: 1) a plurality of feature descriptors associated with a plurality of views of a volumetric target, and 2) a plurality of 3D structure datapoints that correspond to the plurality of feature descriptors. The system also obtains an image frame captured by a user equipment (UE) device. The system identifies a set of image features depicted in the image frame and detects, based on a match between the set of image features depicted in the image frame and a set of feature descriptors of the plurality of feature descriptors, that the volumetric target is depicted in the image frame. In response to this detecting and based on 3D structure datapoints corresponding to matched feature descriptors, the system determines a spatial relationship between the UE device and the volumetric target. Corresponding methods and systems are also disclosed.

Methods and systems for augmented reality tracking based on volumetric feature descriptor data

An exemplary object identification system detects, based on a machine learning model, an object depicted within a video frame. The system identifies, based on the detecting of the object, a class label of the object and a region of interest, within the video frame, of the object. The system identifies, within the region of interest of the object, set of features of the object. The system compares the set of features of the object with a plurality of predefined features within a data store associated with the class label of the object. The system determines, based on the comparing of the set of features of the object with the plurality of predefined features within the data store, whether the object is configured to trigger an augmentation of video content associated with the video frame. Corresponding methods and systems are also disclosed.

Methods and systems for identification and augmentation of video content

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Stilwell, KS, United States of America

Gang Lin