[map-free-workshop] Torsten slides

Author: amonszpart

map-free-workshop/2024/index.html

@@ -283,7 +283,9 @@ <h4>📅&nbsp; &nbsp; &nbsp; On Monday, 30<sup>th</sup> September, 2024, AM <sma
                         known camera poses or a sparse point cloud, obtained from Structure-from-Motion, to represent
                         the scene. In recent years, the list of available scene representations has grown considerably.
                             In this talk, we review a subset of the available representations.
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+                        <a href="https://storage.googleapis.com/niantic-lon-static/research/mapfree/eccv24/talks/map_free_localization_workshop_sattler.pdf"
+                           target="_blank"> 📜 Scene Representations for Visual Localization</a> (69 MB)
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@@ -422,6 +424,9 @@ <h4 class="speaker-name">
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                         <span class="talk-title">Talk title</span>: Scene Representations for Visual Localization <br/>
+                        <span class="talk-title">Slides</span>:
+                        <a href="https://storage.googleapis.com/niantic-lon-static/research/mapfree/eccv24/talks/map_free_localization_workshop_sattler.pdf"
+                           target="_blank">📜 Scene Representations for Visual Localization</a> (69 MB) <br/>
                         <span class="talk-title">Summary</span>: Visual localization is the problem of estimating the
                         exact position and orientation from which a given image was taken. Traditionally, localization
                         approaches either used a set of images with known camera poses or a sparse point cloud, obtained