<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
        <title>Processing, serving and rendering huge point clouds on Mobile devices and Web pages—Manuel De La Calle Alonso, Diego […]</title>
        <link>https://video.osgeo.org/videos/watch/7d03ac27-a171-4bec-a9ea-e7a0bb005270</link>
        <description>Rendering 3D point clouds on mobile devices is a hard task because we are working online and we work on limited performance devices.We have developed a server-client library that allow developers to serve any size point clouds on any environment.The library developed has the following products: A tool to import the point clouds from different formats,, A library to pre-process fastly this points and a server to give the correct points on every tile to the clients apps.This server streams the data. A demo example point-cloud.glob3mobile.com/</description>
        <lastBuildDate>Sat, 30 May 2026 02:40:23 GMT</lastBuildDate>
        <docs>https://validator.w3.org/feed/docs/rss2.html</docs>
        <generator>PeerTube - https://video.osgeo.org</generator>
        <image>
            <title>Processing, serving and rendering huge point clouds on Mobile devices and Web pages—Manuel De La Calle Alonso, Diego […]</title>
            <url>https://video.osgeo.org/lazy-static/avatars/de841c88-3a57-45ac-9eff-a00237356bfc.png</url>
            <link>https://video.osgeo.org/videos/watch/7d03ac27-a171-4bec-a9ea-e7a0bb005270</link>
        </image>
        <copyright>All rights reserved, unless otherwise specified in the terms specified at https://video.osgeo.org/about and potential licenses granted by each content's rightholder.</copyright>
        <atom:link href="https://video.osgeo.org/feeds/video-comments.xml?videoId=7d03ac27-a171-4bec-a9ea-e7a0bb005270" rel="self" type="application/rss+xml"/>
    </channel>
</rss>