Fully convolutional interest point detection and description via homographic adaptation

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United States of America Patent

PATENT NO 11537894
APP PUB NO 20210241114A1
SERIAL NO

17179226

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Abstract

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Systems, devices, and methods for training a neural network and performing image interest point detection and description using the neural network. The neural network may include an interest point detector subnetwork and a descriptor subnetwork. An optical device may include at least one camera for capturing a first image and a second image. A first set of interest points and a first descriptor may be calculated using the neural network based on the first image, and a second set of interest points and a second descriptor may be calculated using the neural network based on the second image. A homography between the first image and the second image may be determined based on the first and second sets of interest points and the first and second descriptors. The optical device may adjust virtual image light being projected onto an eyepiece based on the homography.

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Patent Owner(s)

  • MAGIC LEAP, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
DeTone, Daniel San Francisco, US 17 257
Malisiewicz, Tomasz Jan Mountain View, US 18 204
Rabinovich, Andrew San Francisco, US 61 1315

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