Visualizing 150000 butterflies from the Natural History Museum

December 26, 2019

The Natural History Museum in London has a data portal in which they provide digital records for many of their specimens. Some of these records have images. I recently learned how to use machine learning tools such as convolutional neural networks and I wanted to use the NHM data to see what can be done with these tools. The dataset of butterflies seemed particularly interesting to me because the images are visually interesting, yet they are all similar in that they all contain a butterfly in a canonical pose.

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Generating 3D roof meshes from aerial LIDAR data

January 2, 2018

This is my graduation project I did in computer science. The goal was to come up with a method to generate 3D meshes of building roofs from point cloud data. The point cloud data was taken with aerial LIDAR scanners and is available online. In addition, I used building layout polygons, which are also available as open data. I tested several strategies to generate a mesh and I’ll explain the best one in this post.

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