GMU:Critical VR Lab II/Kristin Jakubek: Difference between revisions

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This semester I mainly started work on creating my own visual elements, using photogrammetry as technique to transport places, textures and people from the real into the rendered mesh.   
This semester I mainly started work on creating my own visual elements, using photogrammetry as technique to transport places, textures and people from the real into the rendered mesh.   
[[:File:meshes_process.pdf]]
I used a range of different photogrammetry softwares:
For mobile, quick and relatively small/compact models I used the Trnio app, which uses approx. 80 pictures, which was sufficient for static captures: the street renderings.
<gallery>
File:meshes_process_1 20.jpg
File:meshes_process_1 21.jpg
File:meshes_process_1 22.jpg
File:meshes_process_1 23.jpg
File:meshes_process_1 24.jpg
File:meshes_process_1 25.jpg
File:meshes_process_1 26.jpg
File:meshes_process_1 27.jpg
File:meshes_process_1 28.jpg
File:meshes_process_1 29.jpg
File:meshes_process_1 30.jpg
</gallery>
During the shoot with (living, breathing, moving) people I used 3 different Softwares to compare and have a choice of results:


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[[:File:meshes_process.pdf]]
I used a range of different photogrammetry softwares:
For mobile, quick and relatively small/compact models I used the Trnio app, which uses approx. 80 pictures, which was sufficient for static captures: the street renderings.
During the shoot with (living, breathing, moving) people I used 3 different Softwares to compare and have a choice of results:


When using Trnio to scan people the results vary from recognisable to quite distorted. It is generally more unpredictable but the models are calculated on an external server, which gives very quick and ‘low effort’ results.  
When using Trnio to scan people the results vary from recognisable to quite distorted. It is generally more unpredictable but the models are calculated on an external server, which gives very quick and ‘low effort’ results.