good preview settings

[Tunkali]

Hello everybody. I'm still working on my big project - Realtime 3D Village scanned by UAV - 3300 Images

I got problems  to receive a model with good textures and form with this huge scale. So I found a good compromise to have something to work with. It was a heavy lifting from a 2 mio polygon model with lot of textures to a 50k model with one 8k texture. I tried all programs to get a good lowpoly uv setup and used 3D Max to project multitexture highpoly to singletexture lowpoly. But it worked.

Now I and my client are not yet satisfied with the quality. But getting good quality from one piece is almost impossible within the budget and with my hardware (I upgraded to xeon 6-core with 24 GB Ram).

So i tried to puzzle out the right images for a small piece of the scene and just reconstructed a single building. And voila good quality, good texture, small polygon size. The qualityfactor now is 1:1000. But it was really complicated to find the right images. Because the drone flight is systematically around the village, not the building.

So I thought its maybe a good idea to raise the sparse cloud value, to be able to slice my parts through preview rather than scanning through 3000 images by myself to find the right ones for specific buildings. Dense Cloud for whole scene takes too much time and is to heavy to work with. So i want to avoid this step and create dense cloud only for my specific area. I want to save as much time as possible.

What would you do? Are there any recommendations or expieriences? Just to compare a image with the old church (from the whole set) and the new one.

[Alexey Pasumansky]

Hello Tunkali,

You can use the bounding box to reduce the working volume to the area of interest. Just use the Resize Region and Rotate Region instruments located on the Toolbar.

[Tunkali]

I used bounding box already and its really cool. But how can I see more in preview? Its recommended to have a higher sparse cloud or its cheaper (time and ressources) to render dense cloud?

[Alexey Pasumansky]

Hello Tunkali,

What do you mean under preview?

Number of points in sparse cloud doesn't effect much on the dense cloud reconstruction stage. The processing time of the dense cloud generation depend on the number and resolution of images, scene complexity, quality settings and image overlap. Since dense cloud is based on the depth maps between individual photos, the overlap is selected based on the number of matching points between images.