<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Video on ZL Labs Ltd</title>
    <link>https://zl-labs.tech/tags/video/</link>
    <description>Recent content in Video on ZL Labs Ltd</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Fri, 06 Dec 2024 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://zl-labs.tech/tags/video/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Construction Timelapse</title>
      <link>https://zl-labs.tech/post/2024-12-06-cv-building-timelapse/</link>
      <pubDate>Fri, 06 Dec 2024 00:00:00 +0000</pubDate>
      <guid>https://zl-labs.tech/post/2024-12-06-cv-building-timelapse/</guid>
      <description>&lt;p&gt;In this project a stunning timelapse video was created from an image stock of over 3,000 photos of a construction&#xA;site, tracking the progress of a new residential building from breaking ground to completion, a process lasting more than three years.&#xA;Those images were taken without a tripod, so the variability in camera positions and angles was of course high. To correct&#xA;for this, Computer Vision techniques were used to predict key points in the images, that could then be used to straighten&#xA;them and produce the final, steady timelapse.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
