Invention Grant
- Patent Title: Self-learning three-dimensional boundaries from images
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Application No.: US16438028Application Date: 2019-06-11
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Publication No.: US11113841B1Publication Date: 2021-09-07
- Inventor: Lev Zelenskiy , Jon Ducrou , James Eather , Michael Neville
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/73 ; H04N5/247 ; G06K9/00 ; G06Q10/08

Abstract:
Techniques are disclosed. The techniques include receiving, from a camera, an image showing a portion of a physical topography and target object. The techniques include determining, based on the image, a location of the target object shown in the image and a physical characteristic of the target object shown in the image, the physical characteristic being common with at least another target object. The techniques then include determining a three dimensional (3D) position of the target object in a 3D representation of the portion of the physical topography, the 3D position determined based on (i) the location of the target object, and (ii) the physical characteristic. Based on detecting a cluster of 3D positions of target objects (over several images), the techniques involve generating a 3D boundary of a zone of a portion of the physical topography.
Information query