Pix4d Processing Imagery (AT309 Week 9)

 In this week of class, we took the images from the scans we had previously completed and we processed them in a software called Pix4D Mapper to create a 3D model. We processed the first three scans we did in the class, which were the 3D object scan of my lab partner's car, a 3D tower scan of a light pole, and a 2D mapping missing of a soccer field. We started by creating a new project in Pix4D mapper, went through the applicable settings, uploaded the geotagged images from the scans, and then began the processing. 


Figure 1, Figure 2, and Figure 3 show the location of each image taken during the scan. This is the view of the scan area before it begins processing. There are three stages of the processing shown at the bottom of the screen, which are initial processing, point cloud and mesh, and DSM, orthomosaic, and index. It is important to have all three of these boxes checked.

Figure 1- Picture location of 2D mapping mission

Figure 2- Picture location of 3D tower scan

Figure 3- Picture location of 3D object scan.

The processing would take a few hours on the computers so we would usually start the processing, leave, and then get onto the computer again when it is done. The more pictures you have, the longer the processing takes. After the processing was done, it would have a 3D Model where you can scroll and angle yourself around. Figure 4, Figure 5, and Figure 6 show screenshots of the finished products of these scans. You can either show the point cloud which is the individual points and more accurate, or you can show the triangulation which is where it will fill in the gaps but potentially be less accurate. The following figures show the triangulation.
Figure 4- Triangulation of 2D Mapping Mission

Figure 5- Triangulation of 3D Tower Scan

Figure 6- Triangulation of 3D object scan





Comments

Popular posts from this blog

UAS Teardown: 3D printed Motor Mount Final Product

Criminal Location Search (AT309 Week 11)

AT209 Lab 5 Wind Speed vs Battery Life Measurement