Invention Grant
- Patent Title: Apparatus and method for training a machine learning model to recognize an object topology of an object from an image of the object
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Application No.: US17454208Application Date: 2021-11-09
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Publication No.: US11986960B2Publication Date: 2024-05-21
- Inventor: Andras Gabor Kupcsik , Marco Todescato , Markus Spies , Nicolai Waniek , Philipp Christian Schillinger , Mathias Buerger
- Applicant: Robert Bosch GmbH
- Applicant Address: DE Stuttgart
- Assignee: ROBERT BOSCH GMBH
- Current Assignee: ROBERT BOSCH GMBH
- Current Assignee Address: DE Stuttgart
- Agency: NORTON ROSE FULBRIGHT US LLP
- Agent Gerard A. Messina
- Priority: DE 2020214300.5 2020.11.13
- Main IPC: G06T17/00
- IPC: G06T17/00 ; B25J9/16 ; G06F18/214 ; G06N3/08 ; G06T7/13 ; G06T7/70 ; G06V10/46 ; G06V20/10

Abstract:
A method for training a machine learning model to recognize an object topology of an object from an image of the object. The method includes: obtaining a 3D model of the object; determining a descriptor component value for each vertex of the grid; generating training data image pairs each having a training input image and a target image. The target image is generated by determining the vertex positions in the training input image; assigning the descriptor component value determined for the vertex at the vertex position to the position in the target image; and adapting at least some of the descriptor component values assigned to the positions in the target image or adding descriptor component values to the positions of the target image.
Public/Granted literature
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T17/00 | 用于计算机制图的3D建模 |