Intelligent method of determining trigger items in augmented reality environments

A non-transitory computer readable medium, which stores instructions executable by a processor to cause a computing device to:

• capture an image of a real world trigger item from a series of frames of a video based on geographical metadata associated with a location where the video was captured;
• identify indexed feature points of a known candidate trigger item to d in a database that match feature points of the real world trigger item;
• perform a geometric consistency evaluation of the feature points of the real world trigger item, including compare an overall shape of a composite of individual tiles of the real world trigger item to an overall shape of each of the matching feature points of the known candidate trigger item;
• identify a required set of feature points for the real world trigger item,
• determine that the matching feature points of the known candidate trigger item include the required set of feature points;
• determine a percentage based on a number of the matching feature points of the known candidate trigger item relative to a total number of indexed feature points of the known candidate trigger item;
• determine whether the determined percentage is equal to or greater than a percentage threshold;
• in response to a determination that the determined percentage is equal to or greater than the percentage threshold, select an augmented reality scenario associated with the real world trigger;
• and
• overlay augmented reality content from the augmented reality scenario on a display of the computing device.

A computing device comprising

• at least one processor;
• and
• a memory storing machine readable instructions to be executed by the at least one processor to cause the computing device to;
• index and store feature points associated with known candidate trigger items in one or more databases;
• capture an image of a real world trigger item from a series of frames of a video based on global positioning system information associated with a location where the video was captured;
• identify indexed feature points of a first known candidate trigger item stored in the one or more databases that match feature points of the real world trigger item;
• perform a geometric consistency evaluation, including compare an overall shape of a composite of individual tiles of the real world trigger item to an overall shape of each of the matching feature points of the known candidate trigger item;
• identify a required set of feature points for the real world trigger item;
• determine that the matching feature points of the first known candidate trigger item include the required set of feature points;
• determine a percentage based on a number of the matching feature points of the first known candidate trigger item relative to a total number of indexed feature points of the first known candidate trigger item;
• determine whether the determined percentage is equal to or greater than a percentage threshold;
• and
• in response to a determination that the determined percentage is equal to or greater than the percentage threshold, provide augmented reality content overlaid onto the series of frames of the video in the computing device.