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

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