Tag: pmvs
Kite flight (too windy for balloons, ahem “aerostats”)
Edit: forgot the camera array: CIR image from balloon: Continue reading Kite flight (too windy for balloons, ahem “aerostats”)
OpenDroneMap — The MOVIE
Apparently travelling for 20 days straight back and forth through 3 time zones across 13 hours of time difference makes me calmer, more rational, and a better presenter than normal. All 27 minutes and 35 seconds. And then don’t forget to check out the rest: http://vimeo.com/foss4g Continue reading OpenDroneMap — The MOVIE
OpenDroneMap and the art of sneakernet packet making
Current scene in the smathermather household — OpenDroneMap sneakernet packets being produced for training 53 people in OpenDroneMap on Monday. (Yes, I’m using rsync, not tar. Old dog. New tricks.) edit: let’s throw some code up there, ugly though it may be: Continue reading OpenDroneMap and the art of sneakernet packet making
OpenDroneMap — Art and Science
I consider myself an artist and scientist. I’ll confess I have let the art go fallow some in recent years, but these are two sides of one coin. If you like either, and especially if you like both, you should check out Tobias Research. I met Michele at FOSS4G, where from the moment she saw my presentation on OpenDroneMap to using it to create a … Continue reading OpenDroneMap — Art and Science
Announcing OpenDroneMap — Software for civilian (and humanitarian?) UAS post processing
This past Friday at FOSS4G in Portland, I announced the (early) release of OpenDroneMap, a software toolchain for civilian (and humanitarian?) UAS/UAV image processing. The software is currently a simple fork of https://github.com/qwesda/BundlerTools, and will process from unreferenced overlapping photos to an unreferenced point cloud. Directions are included in the repo to create a mesh and UV textured mesh as the subsequent steps, but the … Continue reading Announcing OpenDroneMap — Software for civilian (and humanitarian?) UAS post processing
Getting Bundler and friends running — part deux
In my previous post on Getting Bundler and friends running, I suggested how to modify an existing script to get Bundler and other structure from motion parts/pieces up and running. Here’s my follow up. Install Vagrant and VirtualBox. Download (or clone) this repo: https://github.com/OpenDroneMap/odm-vagrant Navigate into the cloned or unzipped directory (on the command line), run vagrant up Go have a cup of coffee. Come … Continue reading Getting Bundler and friends running — part deux
Getting Bundler and friends running
Anyone who has jumped down the rabbit hole of computer vision has run into dependency h*ll getting software to run. I jumped down that hole again today with great success that I don’t want to forget (these directions are for Ubuntu, fyi). First, clone BundlerTools: https://github.com/qwesda/BundlerTools This will download and compile (almost) everything for you, which is a wonderful thing. The one exception is graclus. … Continue reading Getting Bundler and friends running
Short follow up: Photogrammetrically Derived Point Clouds
In my previous post, https://smathermather.wordpress.com/2014/02/04/big-dmn-post-photogrammetrically-derived-point-clouds/, I briefly cover software for creating photogrammetrically derived point clouds. I didn’t summarize, like this, but PDPCs can be created in three easy steps: Structure from Motion for unordered image collections Clustering Views for Multi-view Stereo Multi-view stereo (dense point cloud reconstruction) But, unfairly, I gloss over some of the complications of creating meaningful data from PDPC processing. Truth told, … Continue reading Short follow up: Photogrammetrically Derived Point Clouds
Big d@mn post: Photogrammetrically Derived Point Clouds
I chatted with Howard Butler (@howardbutler) today about a project he’s working on with Uday Verma (@udayverma @udaykverma) called Greyhound (https://github.com/hobu/greyhound) a pointcloud querying and streaming framework over websockets for the web and your native apps. It’s a really promising project, and I hope to kick the tires of it really soon. The conversation inspired this post, which I’ve been meaning to do for a … Continue reading Big d@mn post: Photogrammetrically Derived Point Clouds
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