Invention Grant
- Patent Title: Neural network identification of objects in 360-degree images
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Application No.: US17048130Application Date: 2018-07-30
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Publication No.: US11798126B2Publication Date: 2023-10-24
- Inventor: Robert Campbell , Joseph Wang
- Applicant: Hewlett-Packard Development Company, L.P.
- Applicant Address: US TX Spring
- Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee: Hewlett-Packard Development Company, L.P.
- Current Assignee Address: US TX Spring
- Agency: QUARLES & BRADY LLP
- International Application: PCT/US2018/044359 2018.07.30
- International Announcement: WO2020/027778A 2020.02.06
- Date entered country: 2020-10-16
- Main IPC: G06T3/00
- IPC: G06T3/00 ; G06N3/08 ; G06V10/82 ; G06V20/52 ; G06V40/16

Abstract:
A method, according to one example, includes receiving a 360-degree image that was captured by a 360-degree camera, converting the 360-degree image into a rectangular image, and copying an edge portion from a first edge of the rectangular image and pasting the copied edge portion to a second edge of the rectangular image, thereby forming a modified rectangular image. The method further includes applying a neural network to the modified rectangular image to identify objects appearing in the modified rectangular image, wherein the modified rectangular image facilitates object identification near the second edge.
Public/Granted literature
- US20210357639A1 NEURAL NETWORK IDENTIFICATION OF OBJECTS IN 360-DEGREE IMAGES Public/Granted day:2021-11-18
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 |
G06T3/00 | 在图像平面内的图形图像转换 |