- 专利标题: Neural network processing for multi-object 3D modeling
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申请号: US16234463申请日: 2018-12-27
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公开(公告)号: US10861225B2公开(公告)日: 2020-12-08
- 发明人: Jill Boyce , Soethiha Soe , Selvakumar Panneer , Adam Lake , Nilesh Jain , Deepak Vembar , Glen J. Anderson , Varghese George , Carl Marshall , Scott Janus , Saurabh Tangri , Karthik Veeramani , Prasoonkumar Surti
- 申请人: Intel Corporation
- 申请人地址: US CA Santa Clara
- 专利权人: INTEL CORPORATION
- 当前专利权人: INTEL CORPORATION
- 当前专利权人地址: US CA Santa Clara
- 代理机构: Jaffery Watson Mendonsa & Hamilton LLP
- 主分类号: G06T17/00
- IPC分类号: G06T17/00 ; G06N3/04 ; G06T7/20 ; G06N3/08 ; G06K9/72 ; G06F3/01 ; G06K9/62
摘要:
Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.
公开/授权文献
- US20190130639A1 NEURAL NETWORK PROCESSING FOR MULTI-OBJECT 3D MODELING 公开/授权日:2019-05-02
信息查询
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 |