Invention Grant
- Patent Title: 3D dataset generation for neural network model training
-
Application No.: US17154827Application Date: 2021-01-21
-
Publication No.: US11776204B2Publication Date: 2023-10-03
- Inventor: Jong Hwa Lee , Seunghan Kim , Gary Lyons
- Applicant: SONY GROUP CORPORATION
- Applicant Address: JP Tokyo
- Assignee: SONY GROUP CORPORATION
- Current Assignee: SONY GROUP CORPORATION
- Current Assignee Address: JP Tokyo
- Agency: CHIP LAW GROUP
- Main IPC: G06T17/00
- IPC: G06T17/00 ; G06N3/08 ; G06T7/529 ; G06T19/20 ; G06V40/16 ; G06T17/10 ; G06F18/214 ; G06V10/764 ; G06V10/774 ; G06V10/82 ; G06V10/54 ; G06V10/44 ; G06V20/64 ; G06V40/10

Abstract:
An electronic device receives a set of 2D images comprising at least first 2D image of an object of interest and detects a plurality of 2D landmarks on the first 2D image. The detected plurality of 2D landmarks corresponds to shape-features of the object of interest. The electronic device aligns a first three-dimensional (3D) shape model of a reference object by fitting 2D landmarks of the first 3D shape model to the detected plurality of 2D landmarks. The electronic device estimates texture mapping information between the object of interest and the aligned first 3D shape model and generates a dataset by including the first 2D image, the aligned first 3D shape model, and the estimated texture mapping information as a first sample of the dataset. Based on the generated dataset, the electronic device trains a neural network model on a task of 3D reconstruction from a single 2D image.
Public/Granted literature
- US20210304516A1 3D DATASET GENERATION FOR NEURAL NETWORK MODEL TRAINING Public/Granted day:2021-09-30
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 |