Invention Grant
- Patent Title: Object pose estimation
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Application No.: US17380174Application Date: 2021-07-20
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Publication No.: US12008787B2Publication Date: 2024-06-11
- Inventor: Shubham Shrivastava , Gaurav Pandey , Punarjay Chakravarty
- Applicant: Ford Global Technologies, LLC
- Applicant Address: US MI Dearborn
- Assignee: Ford Global Technologies, LLC
- Current Assignee: Ford Global Technologies, LLC
- Current Assignee Address: US MI Dearborn
- Agency: Bejin Bieneman PLC
- Agent Frank A. MacKenzie
- Main IPC: G06T7/73
- IPC: G06T7/73 ; B60W10/04 ; B60W10/18 ; B60W10/20 ; G05B13/02 ; G06N3/084

Abstract:
A depth image of an object can be input to a deep neural network to determine a first four degree-of-freedom pose of the object. The first four degree-of-freedom pose and a three-dimensional model of the object can be input to a silhouette rendering program to determine a first two-dimensional silhouette of the object. A second two-dimensional silhouette of the object can be determined based on thresholding the depth image. A loss function can be determined based on comparing the first two-dimensional silhouette of the object to the second two-dimensional silhouette of the object. Deep neural network parameters can be optimized based on the loss function and the deep neural network can be output.
Public/Granted literature
- US20230025152A1 OBJECT POSE ESTIMATION Public/Granted day:2023-01-26
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