Invention Grant
- Patent Title: Unsupervised learning of image depth and ego-motion prediction neural networks
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Application No.: US17826849Application Date: 2022-05-27
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Publication No.: US11790549B2Publication Date: 2023-10-17
- Inventor: Reza Mahjourian , Martin Wicke , Anelia Angelova
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- The original application number of the division: US16861441 2020.04.29
- Main IPC: G06V10/00
- IPC: G06V10/00 ; G06T7/579 ; G06T7/285 ; G06N3/084 ; G06N3/045

Abstract:
A system includes a neural network implemented by one or more computers, in which the neural network includes an image depth prediction neural network and a camera motion estimation neural network. The neural network is configured to receive a sequence of images. The neural network is configured to process each image in the sequence of images using the image depth prediction neural network to generate, for each image, a respective depth output that characterizes a depth of the image, and to process a subset of images in the sequence of images using the camera motion estimation neural network to generate a camera motion output that characterizes the motion of a camera between the images in the subset. The image depth prediction neural network and the camera motion estimation neural network have been jointly trained using an unsupervised learning technique.
Public/Granted literature
- US20220292701A1 UNSUPERVISED LEARNING OF IMAGE DEPTH AND EGO-MOTION PREDICTION NEURAL NETWORKS Public/Granted day:2022-09-15
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