Potree - Rendering Point Clouds in Web Browsers Markus Schtz, - PowerPoint PPT Presentation

Jan 03, 2024 •371 likes •568 views

Potree - Rendering Point Clouds in Web Browsers Markus Schtz, www.potree.org/ Potree Potree Web Viewer for large point clouds Uses WebGL / three.js No Plugins required Works on Chrome, Firefox, Safari on desktop PCs and mobile

Potree - Rendering Point Clouds in Web Browsers Markus Schütz, www.potree.org/
Potree
Potree ● Web Viewer for large point clouds ● Uses WebGL / three.js ● No Plugins required ● Works on Chrome, Firefox, Safari on desktop PCs and mobile devices (iPad4, smartphones, …) ● Also IE11 but not as fast and some bugs ● Entirely client side application. Server only hosts files but does not execute code. ● Don't load full point cloud data → load visible regions up to a certain level of detail
Potree 1. level 5. level 2. level
Workflow 1.Convert point cloud with PotreeConverter 2.Modify examples to use converted data 3.Upload to WebServer See Getting Started: https://github.com/potree/potree/blob/master/docs/getting_started.md
Features ● Different Materials (RGB, Intensity, Classification, …) ● 4 Point Rendering Modes (Squares, Circles, Interpolation, Splats) ● PotreeConverter creates BINARY, LAZ(compressed) or LAS hierarchy. ● Based on three.js so everything three.js can do, too. ● Distance, Area and Height Profile Measurements ● Fixed, Attenuated and Adaptive Point Sizes ● Georeferencing
Materials Height RGB Intensity Classification
Point Rendering Quality Squares Circles Interpolation Splats
Measurements
Georeferencing ● Minimap with real world position ● Project Map (Bing, OSM, ...) on point cloud (Work In Progress) Original Original Bing OpenStreetMap
Potree ● Based on Scanopy, a desktop point cloud viewer from the Vienna University of Technology cg department http://cg.tuwien.ac.at/research/projects/TERAPOINTS/ ● Free and Open Source, available on github ● Now continued as master thesis under the Harvest4D project: http://harvest4d.org
Sites using Potree Norconsult: http://www.norconsult.com
Sites using Potree Antea: http://www.anteash.com
Sites using Potree Anan: http://anan.skr.jp
Sites using Potree ICGC: http://icgc.cat
Sites using Potree 3point: http://tripoint.fi
Sites using Potree Georepublic: www.georepublic.de Pointcloud by www.aeroasahi.co.jp
Potree Thank you for your attention http://potree.org http://github.com/potree http://harvest4d.org

Recommend

Potree Point Clouds in the Browser with WebGL Daniel Kastl - FOSS4G 2015 About me Geographer,

Potree Point Clouds in the Browser with WebGL Daniel Kastl - FOSS4G 2015 About me Geographer, Mapper, Software Developer Maintainer of the pgRouting Project Founder of Georepublic Living in Germany and Japan Enjoy Open Source FOSS4G

616 views • 30 slides

Effj fjcient Collision Detection While Rendering Dynamic Point Clouds M. Radwan, S. Ohrhallinger

Effj fjcient Collision Detection While Rendering Dynamic Point Clouds M. Radwan, S. Ohrhallinger and M. Wimmer Vienna University of Technology, Austria Motivation Point clouds are queried using bounding hierarchy Construction: O(N log

788 views • 46 slides

Transformation for Point Clouds by Alvaro Vzquez and Elisardo Antelo University of Santiago de

New 3D Projection Transformation for Point Clouds by Alvaro Vzquez and Elisardo Antelo University of Santiago de Compostela Spain Polygon vs Point Rendering in 3D Computer Graphics (Animation) Conventional CG sytem: polygoms for rendering :

287 views • 15 slides

Glob3 Mobile: Serving and rendering huge point clouds on mobile devices and web pages (aka:

Glob3 Mobile: Serving and rendering huge point clouds on mobile devices and web pages (aka: Feature Streaming server & Client) Manuel de la Calle FOSS4G 2015 @mdelacalle mdelacalle@glob3mobile.com Glob3 Mobile (G3M) is: an open source *

320 views • 18 slides

Bachelor-Thesis Ray-Tracing Point Clouds Christoph Wiesmeier 18. November 2011 Overview 1

Bachelor-Thesis Ray-Tracing Point Clouds Christoph Wiesmeier 18. November 2011 Overview 1 Challenges 2 Rendering approaches 3 Ray-Tracing Points 4 Conclusion Christoph Wiesmeier () Bachelor-Thesis Ray-Tracing Point Clouds 18. November 2011 1

425 views • 25 slides

When you look up into the sky, you will often see clouds. No two clouds are the same, and there

When you look up into the sky, you will often see clouds. No two clouds are the same, and there are many different types of clouds. Different kinds of clouds lead to different types of weather. Cirrus clouds are the highest group of clouds that

271 views • 5 slides

Perception with Point Clouds Robert Platt Northeastern University Topics depth sensors

Perception with Point Clouds Robert Platt Northeastern University Topics depth sensors creating point clouds / maps voxelizing, calculating surface normals, denoising ICP RANSAC Hough transform Laser range scanners

1.35k views • 97 slides

Screen-Space Triangulation for Interactive Point Rendering Reinhold Preiner Institute of

Screen-Space Triangulation for Interactive Point Rendering Reinhold Preiner Institute of Computer Graphics and Algorithms Vienna University of Technology Motivation High-quality point rendering mostly implies some kind of continuous surface

530 views • 19 slides

Learning to Optimally Segment Point Clouds Peiyun Hu, David Held, Deva Ramanan Carnegie Mellon

Learning to Optimally Segment Point Clouds Peiyun Hu, David Held, Deva Ramanan Carnegie Mellon University Paper ID: 2977 Raw LiDAR Scans Today, most autonomous vehicles perceive the world through LiDAR point clouds. Map-based Preprocessing

453 views • 17 slides

Dynamic Graph CNN for learning on point clouds Wang Yue, et al. Otakar Jaek March 25, 2019

Dynamic Graph CNN for learning on point clouds Wang Yue, et al. Otakar Jaek March 25, 2019 Otakar Jaek Dynamic Graph CNN for learning on point clouds Point cloud learning history Hand-crafted features View-based methods

238 views • 20 slides

Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds Francis Engelmann*

Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds Francis Engelmann* Theodora Kontogianni* Alexander Hermans Bastian Leibe Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds Problem Statement Input

140 views • 10 slides

Lecture 10: Point Clouds, Eigenvectors, PCA COMPSCI/MATH 290-04 Chris Tralie, Duke University

Lecture 10: Point Clouds, Eigenvectors, PCA COMPSCI/MATH 290-04 Chris Tralie, Duke University 2/16/2016 COMPSCI/MATH 290-04 Lecture 10: Point Clouds, Eigenvectors, PCA Announcements Group Assignment 1 Part 1, Due This Sunday 11:55 PM

660 views • 64 slides

MASSIVE TIME-LAPSE POINT CLOUD RENDERING IN VIRTUAL REALITY Markus Schuetz, 2016.07.26

MASSIVE TIME-LAPSE POINT CLOUD RENDERING IN VIRTUAL REALITY Markus Schuetz, 2016.07.26 Why? Performance and Rendering Techniques AGENDA Rendering Quality Interaction in Virtual Reality 2 NVIDIAS NEW HEADQUARTER

236 views • 20 slides

lecture 21 volume rendering - blending N layers - OpenGL fog (not on final exam) - transfer

lecture 21 volume rendering - blending N layers - OpenGL fog (not on final exam) - transfer functions - rendering level surfaces - 3D objects Clouds, fire, smoke, fog, and dust are difficult to model with vertices and polygons.

792 views • 40 slides

Print Books with Browsers Designing books in browsers using Paged.js Julie Blanc (@julieblancfr)

Print Books with Browsers Designing books in browsers using Paged.js Julie Blanc (@julieblancfr) Digital Publishing Summit May 26, 2019 Automated typesetting and pagination for print Make PDF outputs of HTML contents from browsers Flux

823 views • 67 slides

Efficient Video Decoding on GPUs Efficient Video Decoding on GPUs by Point Based Rendering by

Efficient Video Decoding on GPUs Efficient Video Decoding on GPUs by Point Based Rendering by Point Based Rendering Bo Han, Bingfeng Zhou Peking University Outline Outline Motivation and Goal Previous work Review of video decoding

741 views • 30 slides

Converting point clouds to 3D object maps Part of iTransit Annie Westerlund 2016-05-10 AstaZero

Converting point clouds to 3D object maps Part of iTransit Annie Westerlund 2016-05-10 AstaZero Researchers day 1 Agenda Short background Overview of algorithm Description: Point cloud to 3D object map Final words 2

1.11k views • 15 slides

3D Shape Completion from Sparse Point Clouds Christian Diller 26 th July 2019 Motivation 2

Masters Thesis 3D Shape Completion from Sparse Point Clouds Christian Diller 26 th July 2019 Motivation 2 Motivation LiDAR Scanning Sensing the environment Sparse point measurements Only partially visible objects 3 Motivation

604 views • 41 slides

Tracking Deformable Objects with Point Clouds John Schulman, Alex

Tracking Deformable Objects with Point Clouds John Schulman, Alex Lee, Jonathan Ho, Pieter Abbeel UC Berkeley, EECS Department Thursday, July 4, 13 Goal Track deformable

647 views • 51 slides

Learning-based Sampling over 3D Point Clouds presented by Dr. HOU Junhui, Assistant Professor

Learning-based Sampling over 3D Point Clouds presented by Dr. HOU Junhui, Assistant Professor Department of Computer Science, City University of Hong Kong Email: jh.hou@cityu.edu.hk https://sites.google.com/site/junhuihoushomepage/home

519 views • 39 slides

Process monitoring of construction sites by photogrammetric point clouds and 4D building

Technical University of Munich Process monitoring of construction sites by photogrammetric point clouds and 4D building information models (BIM) [selected slides] Uwe Stilla , stilla@ tum.de Co-Authors: S. Tuttas, A. Braun, A. Borrmann 1

538 views • 42 slides

MASSIVE TIME-LAPSE POINT CLOUD RENDERING with VR Innfarn Yoo, OpenGL Chips and Core Markus

April 4-7, 2016 | Silicon Valley MASSIVE TIME-LAPSE POINT CLOUD RENDERING with VR Innfarn Yoo, OpenGL Chips and Core Markus Schuetz, Professional Visualization Introduction Previous Work Methods AGENDA Progressive Blue-Noise Point Cloud

566 views • 53 slides

Deep Hough Voting for 3D Object Detection in Point Clouds Charles R. Qi, Or Litany, Kaiming He,

Deep Hough Voting for 3D Object Detection in Point Clouds Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas; The IEEE International Conference on Computer Vision (ICCV), 2019 Jan Bayer, Computational Robotics Laboratory, Czech Technical

480 views • 25 slides

Hypernetwork approach to generating point clouds Przemysaw Spurek 1 , Sebastian Winczowski 1 ,

Hypernetwork approach to generating point clouds Przemysaw Spurek 1 , Sebastian Winczowski 1 , Jacek Tabor 1 , Maciej Zamorski 2 4 , Maciej Ziba 2 4 , Tomasz Trzciski 3 4 1 Group of Machine Learning Research, Jagiellonian University 2

331 views • 21 slides