Systems and methods for training image detection systems for augmented and mixed reality applications
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United States of America Patent
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Jul 25, 2023
Grant Date -
Apr 1, 2021
app pub date -
Sep 29, 2020
filing date -
Sep 30, 2019
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Abstract
Described are system, method, and computer-program product embodiments for developing an object detection model. The object detection model may detect a physical object in an image of a real world environment. A system can automatically generate a plurality of synthetic images. The synthetic images can be generated by randomly selecting parameters of the environmental features, camera intrinsics, and a target object. The system may automatically annotate the synthetic images to identify the target object. In some embodiments, the annotations can include information about the target object determined at the time the synthetic images are generated. The object detection model can be trained to detect the physical object using the annotated synthetic images. The trained object detection model can be validated and tested using at least one image of a real world environment. The image(s) of the real world environment may or may not include the physical object.
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