Invention Grant
- Patent Title: Multi-view depth estimation leveraging offline structure-from-motion
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Application No.: US17368703Application Date: 2021-07-06
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Publication No.: US12080013B2Publication Date: 2024-09-03
- Inventor: Jiexiong Tang , Rares Andrei Ambrus , Sudeep Pillai , Vitor Guizilini , 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: Seyfarth Shaw LLP
- Main IPC: G06T7/593
- IPC: G06T7/593 ; G06T7/536 ; G06T7/70

Abstract:
A method for estimating depth of a scene includes selecting an image of the scene from a sequence of images of the scene captured via an in-vehicle sensor of a first agent. The method also includes identifying previously captured images of the scene. The method further includes selecting a set of images from the previously captured images based on each image of the set of images satisfying depth criteria. The method still further includes estimating the depth of the scene based on the selected image and the selected set of images.
Public/Granted literature
- US20220005217A1 MULTI-VIEW DEPTH ESTIMATION LEVERAGING OFFLINE STRUCTURE-FROM-MOTION Public/Granted day:2022-01-06
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