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    <title>DEV Community: Ayesha Noor</title>
    <description>The latest articles on DEV Community by Ayesha Noor (@ayesha_noor_fd15fc0aed408).</description>
    <link>https://dev.to/ayesha_noor_fd15fc0aed408</link>
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      <title>DEV Community: Ayesha Noor</title>
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      <title>How 3D Reconstruction Can Preserve Cultural Heritage ; My Week 1 with PreserveMy.World</title>
      <dc:creator>Ayesha Noor</dc:creator>
      <pubDate>Wed, 24 Jun 2026 11:34:59 +0000</pubDate>
      <link>https://dev.to/ayesha_noor_fd15fc0aed408/how-3d-reconstruction-can-preserve-cultural-heritage-my-week-1-with-preservemyworld-42og</link>
      <guid>https://dev.to/ayesha_noor_fd15fc0aed408/how-3d-reconstruction-can-preserve-cultural-heritage-my-week-1-with-preservemyworld-42og</guid>
      <description>&lt;p&gt;As part of my Week 1 internship with PreserveMy.World, I dove into the world of &lt;br&gt;
3D reconstruction and how it can be used to digitally preserve heritage sites.&lt;/p&gt;

&lt;h2&gt;
  
  
  What is 3D Reconstruction?
&lt;/h2&gt;

&lt;p&gt;3D reconstruction is the process of capturing the shape and appearance of real &lt;br&gt;
objects or environments and converting them into digital 3D models. For heritage &lt;br&gt;
preservation, this means we can create permanent digital records of sites that may &lt;br&gt;
be at risk of damage, decay, or destruction.&lt;/p&gt;

&lt;h2&gt;
  
  
  Methods I Researched
&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;COLMAP (Structure from Motion)&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Input: Multiple photographs from different angles&lt;/li&gt;
&lt;li&gt;Output: 3D point cloud and mesh&lt;/li&gt;
&lt;li&gt;Difficulty: Medium — good beginner starting point&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;NeRF (Neural Radiance Fields)&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Input: Photos with camera position data&lt;/li&gt;
&lt;li&gt;Output: Photorealistic 3D scene you can navigate&lt;/li&gt;
&lt;li&gt;Difficulty: Hard — requires GPU and ML knowledge&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Gaussian Splatting&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Input: Photos&lt;/li&gt;
&lt;li&gt;Output: Real-time renderable 3D scene&lt;/li&gt;
&lt;li&gt;Difficulty: Hard — very new technique (2023)&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;Monocular Depth Estimation&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;Input: A single image&lt;/li&gt;
&lt;li&gt;Output: Depth map showing distances&lt;/li&gt;
&lt;li&gt;Difficulty: Easy — great for beginners&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Why This Matters for PreserveMy.World
&lt;/h2&gt;

&lt;p&gt;PreserveMy.World aims to use AI to document and preserve heritage sites. &lt;br&gt;
3D reconstruction gives us the ability to let people virtually visit places &lt;br&gt;
that may no longer exist. Imagine being able to walk through an ancient site &lt;br&gt;
in VR, reconstructed from photographs taken before it was damaged.&lt;/p&gt;

&lt;h2&gt;
  
  
  What I Plan to Try Next
&lt;/h2&gt;

&lt;p&gt;This week I plan to run a COLMAP demo or find a beginner-friendly Colab notebook &lt;br&gt;
to test structure-from-motion on sample images. I'll document the results and &lt;br&gt;
share outputs in my PMW-day1 GitHub repo.&lt;/p&gt;

&lt;h2&gt;
  
  
  My Setup
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;GitHub repo: &lt;a href="https://github.com/i232103-dot/PMW-day1" rel="noopener noreferrer"&gt;https://github.com/i232103-dot/PMW-day1&lt;/a&gt;
&lt;/li&gt;
&lt;li&gt;Track: AI &amp;amp; Machine Learning — AI-Based 3D Scene Reconstruction&lt;/li&gt;
&lt;li&gt;Program: PreserveMy.World Internship, Week 1&lt;/li&gt;
&lt;/ul&gt;

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      <category>ai</category>
      <category>beginners</category>
      <category>deeplearning</category>
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