- Patent Title: System for performing convolutional image transformation estimation
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Application No.: US17341079Application Date: 2021-06-07
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Publication No.: US11593654B2Publication Date: 2023-02-28
- Inventor: Daniel DeTone , Tomasz Malisiewicz , Andrew Rabinovich
- Applicant: Magic Leap, Inc.
- Applicant Address: US FL Plantation
- Assignee: Magic Leap, Inc.
- Current Assignee: Magic Leap, Inc.
- Current Assignee Address: US FL Plantation
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/08 ; G06T7/30 ; G06T3/00 ; G06V10/40 ; G06V10/82 ; G06T7/12 ; G06T7/174 ; G06F17/16 ; G06T3/40

Abstract:
A method for training a neural network includes receiving a plurality of images and, for each individual image of the plurality of images, generating a training triplet including a subset of the individual image, a subset of a transformed image, and a homography based on the subset of the individual image and the subset of the transformed image. The method also includes, for each individual image, generating, by the neural network, an estimated homography based on the subset of the individual image and the subset of the transformed image, comparing the estimated homography to the homography, and modifying the neural network based on the comparison.
Public/Granted literature
- US20210365785A1 METHOD AND SYSTEM FOR PERFORMING CONVOLUTIONAL IMAGE TRANSFORMATION ESTIMATION Public/Granted day:2021-11-25
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