Palaeontologist: Dinosaur Footprints – Biomechanics – Simulation
I experimented with macro photogrammetry using a small fossil and a Nikon Z8 camera with MC105 VR S lens. I used focus-shift and focus-stack with shallow depth of field. Reality Capture produced a good model from the focus-stacked images, but using the lens at f51 also yielded a great result. Both methods have their benefits.
I’ve been testing out instant-ngp recently, it’s an open-source software from Nvidia that generates neural radiance fields. That’s a 3D representation of an object that is fundamentally different from the points or verticies and faces we may be used to. Rather than representing an object through 3D coordinates, connections between them, and colours (i.e. vertices... Continue Reading →
I saw recently that COLMAP had received an update to 3.7 in late Jan '22 (I'd previously tested 3.6 a year or more ago), though after a quick, unscientific trial, I didn't notice any particular changes to UI, workflow, speed, or quality of final model, so I didn't think it was worth a blog post.... Continue Reading →
A little while ago I wrote about COLMAP-CL, a fork of the original project re-written so as to remove the reliance on CUDA, and therefore Nvidia GPUs. Now, from the same source, OpenPhotogrammetry on Github, comes Meshroom-CL. It's still in pre-release, at version 0.7, but I gave it a run through on my work iMac... Continue Reading →
ContextCapture is Photogrammetry software from Bentley. In fact, it is a pretty comprehensive set of tools for photogrammetry, laser scans, meshing, GIS, etc. I was contacted by someone from Bentley, who asked me if I'd like to give it a test run. I was set up with a trial, but aside from that I've not... Continue Reading →
I scan a lot of 2.5D things. That is to say, 3D, but only a surface. Think dinosaur tracks, like this: One of the problems you can come across is if you want to 3D print something like this, it needs thickness. Visualization can also be helped if there’s context for the edges. I’ll outline... Continue Reading →
You can listen to the programme here: https://www.bbc.co.uk/programmes/w3cswvxr A few months ago, I was contacted about a program on the BBC world service - CrowdScience. I was asked a few things about what I work on, and answered some questions about what we can learn from dinosaur tracks. The idea for the show is that... Continue Reading →
Given how insanely popular my 'trying photogrammetry software' series has been this year, I thought I'd round up what I've tried, what's worked well, and what hasn't. Obviously I gave each piece of software in my blog posts a go with a standard dataset. That photo set was not ideal - it includes photos taken... Continue Reading →
Here's the original post, and links to all posts I have previously outlined my goal of testing multiple photogrammetry solutions on a single dataset, and reporting times and results. I'm using a dataset based on photographs of this Styracosaurus model (I've had it since I was quite young): The dataset has 53 photos in total,... Continue Reading →
I should probably have made this post sooner, as it's about my chapter in the Great Dinosaur Track Book Of 2016: "Dinosaur Tracks: The Next Steps". It's a volume I was privileged enough to be an editor for, and it contains a number of excellent chapters. I wanted to post about my own... Continue Reading →
Prof. Peter L. Falkingham 