Overview:
This week we gathered our own data for processing and generation of a 3D model using SFM MVS methods and software. The deliverables for our group were assigned via our instructor.
Objectives:
1. Objective #1: Discover, Identify, and implement different methods for 3D model generation using SFM MVS
2. Objective #2: Recognize, relate, and compare different ways imagery can be gathered to construct SFM MVS point clouds.
3. Objective #3: Demonstrate proficiency and knowledge of using Pix4D Mapper and Measure Ground control to gather 3D model imagery.
Deliverables:
Double grid
Lens angle @ 80 degrees
Overlap angle @ 80 degrees
Altitude of 20 meters
Field Report:
Weather: Clear skies, winds calm, 84 degrees, low humidity.
Site Conditions: Purdue Wildlife Area, Bright sunlight, dry ground
Potential Hazards: Other drones and crews operating nearby, low altitude flying, nearby tree line, 6 vehicles under flight path.
Method details: Used DJI Mavic 2 Pro to take imagery of six vehicles. Used Pix4D Capture app to collect the images.
Issues encountered: Other people at the site were walking through the area we were collecting data and moving objects so we needed to return to home and restart the mission in order to get accurate data. We had to make sure the images were saving to the SD card and not the drone so we used the DJI Go 4 app to change those settings.
Results:
Figure 1. Camera points in map view.
Figure 2. Overview of model after initial processing. Looks spotty and incomplete.
Figure 3. Close up of model after initial processing.
Figure 4. Model after enabling point clouds and groups.
Figure 5. Close up of model after enabling point clouds and groups.
Figure 6. Side view of completed 3D model with cameras on and triangle meshes enabled.
Figure 7. Close up on the vehicles from the 3D model
Figure 8. Close up of melting underneath vehicles from 3D model.
Figure 9. Looking down on the model from above, all GCS sensors are viewable.
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