Invention Grant
- Patent Title: Systems and methods for real-time large-scale point cloud surface reconstruction
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Application No.: US15829786Application Date: 2017-12-01
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Publication No.: US10740955B2Publication Date: 2020-08-11
- Inventor: Srinivas Kaza , Patrick Cozzi , Sean Lilley
- Applicant: Cesium GS, Inc.
- Applicant Address: US PA Philadelphia
- Assignee: Cesium GS, Inc.
- Current Assignee: Cesium GS, Inc.
- Current Assignee Address: US PA Philadelphia
- Agency: Carr & Ferrell LLP
- Main IPC: G06T15/08
- IPC: G06T15/08 ; G06T7/12 ; G06T7/60 ; G06T5/00 ; G06T5/20 ; G06T7/187

Abstract:
A system and method of real-time surface reconstruction upon unstructured point clouds via a series of screen space operations are provided herein. A point occlusion operator, performed in a deferred pass upon a simple point splat, is used to determine point visibility and an ambient occlusion factor to estimate a solid angle of a visibility cone produced by each point in the splat by splitting the screen space local neighborhood of the point into sectors and accumulating the maximum viable sector angle. Points are valid or invalid. A density estimation pass is then used. Maps are used to determine the required number of region growing iterations to cover every invalid pixel. The density is then pruned by edge creep reduction to minimize the error around edges. A median filter is used to fill invalid pixels, while edge-preserving blur is applied to the valid pixels.
Public/Granted literature
- US20190172249A1 Systems and Methods for Real-Time Large-Scale Point Cloud Surface Reconstruction Public/Granted day:2019-06-06
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 |
G06T15/00 | 3D〔三维〕图像的加工 |
G06T15/08 | .体绘制 |