Invention Grant
- Patent Title: Systems and methods for semi-supervised depth estimation according to an arbitrary camera
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Application No.: US16906801Application Date: 2020-06-19
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Publication No.: US11436743B2Publication Date: 2022-09-06
- Inventor: Vitor Guizilini , Igor Vasiljevic , Rares A. Ambrus , Sudeep Pillai , Adrien David Gaidon
- Applicant: Toyota Research Institute, Inc.
- Applicant Address: US CA Los Altos
- Assignee: Toyota Research Institute, Inc.
- Current Assignee: Toyota Research Institute, Inc.
- Current Assignee Address: US CA Los Altos
- Agency: Darrow Mustafa PC
- Agent Christopher G. Darrow
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/521 ; G01S17/89 ; G01S7/48 ; G06T7/55 ; G06N3/08 ; G06N3/04

Abstract:
System, methods, and other embodiments described herein relate to semi-supervised training of a depth model using a neural camera model that is independent of a camera type. In one embodiment, a method includes acquiring training data including at least a pair of training images and depth data associated with the training images. The method includes training the depth model using the training data to generate a self-supervised loss from the pair of training images and a supervised loss from the depth data. Training the depth model includes learning the camera type by generating, using a ray surface model, a ray surface that approximates an image character of the training images as produced by a camera having the camera type. The method includes providing the depth model to infer depths from monocular images in a device.
Public/Granted literature
- US20210004974A1 SYSTEMS AND METHODS FOR SEMI-SUPERVISED DEPTH ESTIMATION ACCORDING TO AN ARBITRARY CAMERA Public/Granted day:2021-01-07
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