Invention Grant
- Patent Title: Three-dimensional object estimation using two-dimensional annotations
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Application No.: US17824202Application Date: 2022-05-25
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Publication No.: US11748998B1Publication Date: 2023-09-05
- Inventor: Hanlin Goh , Nitish Srivastava , Yichuan Tang , Ruslan Salakhutdinov
- Applicant: Hanlin Goh , Nitish Srivastava , Yichuan Tang , Ruslan Salakhutdinov
- Applicant Address: US CA Sunnyvale
- Assignee: APPLE INC.
- Current Assignee: APPLE INC.
- Current Assignee Address: US CA Cupertino
- Agency: Young Basile Hanlon & MacFarlane, P.C.
- Main IPC: G06V20/58
- IPC: G06V20/58 ; G06N20/00 ; G06T7/33 ; B60W40/04 ; G06V10/75 ; G06T15/20

Abstract:
A method includes obtaining a two-dimensional image, obtaining a two-dimensional image annotation that indicates presence of an object in the two-dimensional image, obtaining three-dimensional sensor information, generating a top-down representation of the three-dimensional sensor information, and obtaining a top-down annotation that indicates presence of the object in the top-down representation. The method also includes determining a bottom surface of a three-dimensional cuboid based on map information, determining a position, a length, a width, and a yaw rotation of the three-dimensional cuboid based on the top-down annotation, and determining a height of the three-dimensional cuboid based on a two-dimensional image annotation, and the position, the length, the width, and the yaw rotation of the three-dimensional cuboid.
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