Invention Grant
- Patent Title: Mixed depth object detection
-
Application No.: US17900392Application Date: 2022-08-31
-
Publication No.: US12014518B2Publication Date: 2024-06-18
- Inventor: Vlad Gorodetsky , Giorgio Gallina , Anshul V. Joshi , Richard Jeffrey Rzeszutek , Joseph Lam
- Applicant: ZEBRA TECHNOLOGIES CORPORATION
- Applicant Address: US IL Lincolnshire
- Assignee: Zebra Technologies Corporation
- Current Assignee: Zebra Technologies Corporation
- Current Assignee Address: US IL Lincolnshire
- The original application number of the division: US16932174 2020.07.17
- Main IPC: G06T7/70
- IPC: G06T7/70 ; G01S17/894 ; G06T7/13 ; G06T7/73

Abstract:
A method includes obtaining a point cloud captured by a depth sensor, and image data captured by an image sensor, the point cloud and the image data representing a support structure bearing a set of objects; obtaining an image boundary corresponding to an object from the set of objects; determining a portion of the point cloud corresponding to the image boundary; selecting, from the determined portion, a subset of points corresponding to a forward surface of the object; and generating a three-dimensional position of the object based on the forward surface.
Public/Granted literature
- US20220414926A1 Mixed Depth Object Detection Public/Granted day:2022-12-29
Information query