Invention Grant
- Patent Title: Fitting 3D primitives to a high-resolution point cloud
-
Application No.: US17201783Application Date: 2021-03-15
-
Publication No.: US11682166B2Publication Date: 2023-06-20
- Inventor: Eric-Tuan Le , Duygu Ceylan Aksit , Tamy Boubekeur , Radomir Meeh , Niloy Mitra , Minhyuk Sung
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06T17/00
- IPC: G06T17/00 ; G06N3/045

Abstract:
Embodiments provide systems, methods, and computer storage media for fitting 3D primitives to a 3D point cloud. In an example embodiment, 3D primitives are fit to a 3D point cloud using a global primitive fitting network that evaluates the entire 3D point cloud and a local primitive fitting network that evaluates local patches of the 3D point cloud. The global primitive fitting network regresses a representation of larger (global) primitives that fit the global structure. To identify smaller 3D primitives for regions with fine detail, local patches are constructed by sampling from a pool of points likely to contain fine detail, and the local primitive fitting network regresses a representation of smaller (local) primitives that fit the local structure of each of the local patches. The global and local primitives are merged into a combined, multi-scale set of fitted primitives, and representative primitive parameters are computed for each fitted primitive.
Public/Granted literature
- US20220292765A1 FITTING 3D PRIMITIVES TO A HIGH-RESOLUTION POINT CLOUD Public/Granted day:2022-09-15
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 |