Stable object detection and creation of anchors in augmented reality scenes

Abstract

A system for object detection in an augmented reality scene includes a computing system adapted to receive a stream of images from a user device. For each image in a plurality of successive images from the stream of images, the computing system: generates predictions for objects identified in the image using object models from a datastore; compares the predictions with proposals from the datastore, the comparison including checking an overlap threshold of the predictions and the proposals; updates the proposals with the predictions if the overlap threshold is met, otherwise adds new proposals to the proposals using the predictions; filters the proposals to create stable object detections based on a stability threshold; annotates the image using the stable object detections; and sends the annotated image to the user device for presentation.