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Matthew Earl

Personal blog · matthewearl.github.ioprogrammingscience

Matthew Earl writes Matt’s Ramblings, a personal blog at matthewearl.github.io about programming and science. Since 2015, 12 different Hacker News readers have linked it 19 times, most often “Reprojecting the Perseverance landing footage onto satellite imagery”. The last post was in 2021, but the archive is still widely read.

Visit the blog
19mentions?
12HN people?
2015–2022first – last linked?
Links on Hacker News per year · peak 7 in 2015

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

HN readers link this blog for posts on tracking fast-moving flying objects such as drones. The one comment here discusses infrared retroreflectors and multi-camera setups, and does not judge the writing.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Reprojecting the Perseverance landing footage onto satellite imagery
    3 people · 3 mentions · first linked 2021-03-13
  2. How I Solved GCHQ's Xmas Card with Python and Pycosat. (Explanation and Source)
    2 people · 2 mentions · first linked 2015-12-11
  3. Creating a Pluto flyby using unaligned New Horizons images
    2 people · 2 mentions · first linked 2015-08-13
  4. Extracting Super Mario Bros levels with Python
    2 people · 2 mentions · first linked 2018-06-29

What Hacker News says?

  1. Hey, interesting question! I think using ground-based equipment to accurately measure the position of fast-moving drones in a large outdoor volume might be quite difficult. A pretty common way to do this indoors is to attach infrared retroreflectors to the object. You then have infrared cameras in different locations. Each camera viewpoint restricts the possible location of the marker to a cylinder along its view ax…

    Comment linking /2021/03/06/mars2020-reproject/

    on “Ask HN: How to track flying objects?”
  2. Submitted Reprojecting the Perseverance landing footage onto satellite imagery as a story · 633 points

    HN discussion
  3. Submitted Face swapping with Python, dlib, and OpenCV as a story · 296 points

    HN discussion
  4. Submitted Number plate recognition with Tensorflow as a story · 238 points

    HN discussion
  5. Submitted Extracting Super Mario Bros levels with Python as a story · 166 points

    HN discussion
  6. Submitted Path Tracing Quake in Blender as a story · 155 points

    HN discussion
  7. Submitted Creating a Pluto flyby using unaligned New Horizons images as a story · 130 points

    HN discussion
  8. Submitted How I wrote a script to generate faces by inverting Haar cascades with Python as a story · 64 points

    HN discussion
  9. Submitted Creating a Pluto flyby using unaligned New Horizons images as a story · 12 points

    HN discussion
  10. Submitted I made an ALPR system with Tensorflow and ConvNets (explanation and source) as a story · 10 points

    HN discussion
  11. Submitted 12 years in 15 seconds: Aligning and condensing a self-portrait time-lapse as a story · 7 points

    HN discussion
  12. Submitted How I Solved GCHQ's Xmas Card with Python and Pycosat. (Explanation and Source) as a story · 6 points

    HN discussion
  13. Submitted Creating a Pluto flyby using unaligned New Horizons images as a story · 5 points

    HN discussion
  14. Submitted Bresenham and Efficient Pulse-Width Modulation as a story · 4 points

    HN discussion
  15. Submitted Reprojecting the Perseverance landing footage onto satellite imagery as a story · 4 points

    HN discussion
  16. Submitted Extracting Super Mario Bros levels with 6502 emulator written in Python as a story · 3 points

    HN discussion
  17. Submitted Solving the GCHQ Christmas Card with Python and PycoSAT as a story · 3 points

    HN discussion
  18. Submitted Path Tracing Quake in Blender as a story · 2 points

    HN discussion
  19. Submitted Solving the GCHQ christmas card with Python and pycosat as a story · 2 points

    HN discussion

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