Invention Grant
- Patent Title: Neural network processing for multi-object 3D modeling
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Application No.: US17112792Application Date: 2020-12-04
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Publication No.: US11557085B2Publication Date: 2023-01-17
- Inventor: 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
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jaffery Watson Mendonsa & Hamilton LLP
- Main IPC: G06T7/20
- IPC: G06T7/20 ; G06T17/00 ; G06N3/04 ; G06N3/08 ; G06F3/01 ; G06K9/62 ; G06V30/262

Abstract:
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.
Public/Granted literature
- US20210090327A1 NEURAL NETWORK PROCESSING FOR MULTI-OBJECT 3D MODELING Public/Granted day:2021-03-25
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