{"id":2071,"date":"2015-05-08T00:00:58","date_gmt":"2015-05-08T07:00:58","guid":{"rendered":"http:\/\/192.168.3.4\/?p=2071"},"modified":"2018-01-09T06:50:24","modified_gmt":"2018-01-09T14:50:24","slug":"texture-mapping-from-video","status":"publish","type":"post","link":"https:\/\/www.cloudacm.com\/?p=2071","title":{"rendered":"Orthomosaic Mapping"},"content":{"rendered":"

Introduction – Making some sense out of the mess of words
\n<\/strong><\/p>\n

The title is a bit of a misnomer since orthomosaic mapping<\/a> has more to do images gathered perpendicular to the observed object, as in aerial photography.\u00a0 I decided to keep the title since the method for rendering of 3D objects from a group of two dimensional images is the same.\u00a0 Additionally, the basis of the rendering has roots in mapping relief.\u00a0 All though the title might be somewhat incorrect, the intent of mapping objects allows for some liberty with the verbiage.<\/p>\n

Purpose – Getting more details from the data<\/strong><\/p>\n

I have posted before about 3D modeling.\u00a0 The reason I wanted to revisit the topic was because of the earlier process was cookie cut and highly dependent on cloud providers.\u00a0 AutoCAD’s 123D Catch<\/a> and Microsoft’s Photosynth<\/a> provide impressive results for casual users.\u00a0 By uploading a series of images, the visual experience is quite revealing.\u00a0 However, there isn’t any granular control to the process.\u00a0 Having a one size fits all may induce limits.\u00a0 This is the reason I decided to go into detail using a standalone process.<\/p>\n

In this post, I’ll cover a step by step method to create texture maps from images using VisualSFM and Meshlab.\u00a0 Much of the work done here has been based on the examples giving at flightriot.com<\/a>.\u00a0 I’ll also include some back ground on the software components as well as practical uses.<\/p>\n