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

Inventorying linear assets– really high resolution orthos

I have been contemplating all sorts of varied uses of Structure from Motion techniques. One of those outputs, in addition to using sUAVs (drones) is just to orthorectify and generate 3D meshes from ordinary photos. This has really great potential for linear assets like streams and rivers, trails and roads. We’ll have to being to contemplate how we’ll use (and summarize!) the incredible amount of … Continue reading Inventorying linear assets– really high resolution orthos

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

2.5D TINs in PostGIS

(edited: changed TIN to TIN Z) (edited again — function already exists as a flag in ST_DelaunayTriangles… .) Uh, I wrote a function for nothin’… As Regina points out in the commments, this functionality was rolled into 2.1 with a flag. Her example: For the record, my code is about 2% slower on a dataset that takes ~50minutes to triangulate . —————————————— Original Post —————————————— … Continue reading 2.5D TINs in PostGIS

UAS (drone) Footprint Geometries Calculated in PostGIS with SFCGAL — for real this time

In my earlier post, I made a claim that SFCGAL was used in this figure: It dawned on my afterwards, while I was using 3D, I hadn’t actually employed any of the analysis goodies that come with SFCGAL.  Well, here it is– a footprint as calculated using the view angles and a real terrain model: Here it is compared with the initial calculation: Continue reading UAS (drone) Footprint Geometries Calculated in PostGIS with SFCGAL — for real this time

O man. Epic 3D on its way. I could drone on and on about #postgis

Still working furiously on final edits for the PostGIS Cookbook.  My last chapter is the last one that the Packt editors and managers are waiting for, but it will be the best I’ve contributed to the book, so I think it will be worth everyone’s time. The trick with this chapter is that when I first wrote it, it was before the heavy lifting the … Continue reading O man. Epic 3D on its way. I could drone on and on about #postgis