Invention Grant
- Patent Title: Unsupervised depth prediction neural networks
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Application No.: US17272419Application Date: 2019-09-05
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Publication No.: US11783500B2Publication Date: 2023-10-10
- Inventor: Vincent Michael Casser , Soeren Pirk , Reza Mahjourian , 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.
- International Application: PCT/US2019/049643 2019.09.05
- International Announcement: WO2020/051270A 2020.03.12
- Date entered country: 2021-03-01
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/55 ; G06T7/246 ; G06N3/088 ; G06T3/00 ; G06N3/045

Abstract:
A system for generating a depth output for an image is described. The system receives input images that depict the same scene, each input image including one or more potential objects. The system generates, for each input image, a respective background image and processes the background images to generate a camera motion output that characterizes the motion of the camera between the input images. For each potential object, the system generates a respective object motion output for the potential object based on the input images and the camera motion output. The system processes a particular input image of the input images using a depth prediction neural network (NN) to generate a depth output for the particular input image, and updates the current values of parameters of the depth prediction NN based on the particular depth output, the camera motion output, and the object motion outputs for the potential objects.
Public/Granted literature
- US20210319578A1 UNSUPERVISED DEPTH PREDICTION NEURAL NETWORKS Public/Granted day:2021-10-14
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