- Basking Ridge NJ, US Nikhil Sadashiv Pantpratinidhi - El Dorado Hills CA, US Gang Lin - Stilwell KS, US Yiyong Tan - Fremont CA, US
International Classification:
G06K 9/00 G06K 9/62 G06T 7/73
Abstract:
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 Tracking Based On Volumetric Feature Descriptor Data
- Basking Ridge NJ, US Adwait Ashish Murudkar - Somerville NJ, US Gang Lin - Stilwell KS, US Vinaya Kumar Polavarapu - Irving TX, US
International Classification:
G06T 17/10 G06T 19/00 G06T 7/73 G06K 9/46
Abstract:
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 Identification And Augmentation Of Video Content
- Arlington VA, US Christian Egeler - Roseland NJ, US Sergey Virodov - Fair Lawn NJ, US William Patrick Dildine - Hoboken NJ, US Adwait Ashish Murudkar - Highland Park NJ, US Paul Duree - Livermore CA, US Gang Lin - Colorado Springs CO, US Paul Cannon - Frederick MD, US Alexander Zilbershtein - Buffalo Grove IL, US
International Classification:
G06K 9/00 G06K 9/32 G06K 9/62 G06N 20/00
Abstract:
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.