Invention Application
- Patent Title: RECONSTRUCTING THREE-DIMENSIONAL SCENES PORTRAYED IN DIGITAL IMAGES UTILIZING POINT CLOUD MACHINE-LEARNING MODELS
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Application No.: US17186522Application Date: 2021-02-26
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Publication No.: US20220277514A1Publication Date: 2022-09-01
- Inventor: Wei Yin , Jianming Zhang , Oliver Wang , Simon Niklaus , Mai Long , Su Chen
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06T17/00
- IPC: G06T17/00 ; G06K9/00 ; G06N3/04 ; G06T7/80

Abstract:
This disclosure describes implementations of a three-dimensional (3D) scene recovery system that reconstructs a 3D scene representation of a scene portrayed in a single digital image. For instance, the 3D scene recovery system trains and utilizes a 3D point cloud model to recover accurate intrinsic camera parameters from a depth map of the digital image. Additionally, the 3D point cloud model may include multiple neural networks that target specific intrinsic camera parameters. For example, the 3D point cloud model may include a depth 3D point cloud neural network that recovers the depth shift as well as include a focal length 3D point cloud neural network that recovers the camera focal length. Further, the 3D scene recovery system may utilize the recovered intrinsic camera parameters to transform the single digital image into an accurate and realistic 3D scene representation, such as a 3D point cloud.
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 |