Oops!
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I think one of my comment went unnoticed yesterday.
I added comments to the model from the 3D Warehouse. See this SU file.
Stave Church with comments.skp (500.3 KB)
Of course, when 3D printed to a 5 inch length, this detail will not be noticeable.
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When I started using SketchUp back in 2007 a SU model of about 30 000 faces was a largish model.
Today I dropped a 400 000 triangle references model into it without much sweat.
Modelling each surface tile might not be such a crazy thingsā¦ 
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Ended up discarding all the box models Iād done so far after going back and trying to get the scale correct. Looked up map services and used that as reference for the size. In the stream I said it was 20m in length, going by what Iād read in some source. But using the municipal maps I found that the length, measured by the roofs was 25m.
Should have started with setting the scale correct from the beginning. But now the 3d scan is scaled correctly and geo-located so I can even get correct shadows.
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New volumes based on one half the the building. It matches āishā on the other side. But this old building isnāt entirely symmetrical. However, keeping it symmetrical for now in order to make it easier to model. I doubt it will be visible in the end.
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I downloaded the same scan (from Sketchfab). What is the correct scale? I tried x100 and that seemed sensible.
I first imported the Sketchfab OBJ with meters as units. But that was too small. Given that the model wasnāt even aligned to any model axis I just used RotaScale to scale it such that the length ended up as 25 meters.
So these printers are able to build something of an overhang? How does it manage that?
I converted the Sketchfab scan into a lightweight pointcloud if anyone is interested.
heddal - pointcloud (0.2m).skp8.skp (5.1 MB)
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Oh nice! - I might try to swap out the OBJ import with this. Or at leave set up such I can Reload to switch between the two.
How did you convert this to a point cloud, did you use some existing software or did you roll your own?
The conversion is just adding a construction point per vertex. The cpoints are exported in a text file (a long row of x y z). This file is then imported into a custom tool written in java (of all languages) which down samples the point cloud. The original intent with the tool was not to downsample per se but to make a point cloud more homogeneous. The space is divided into cubes (in this case with 0.2m side) and all points within a cube gets replaced with a single point which is the average of all points in the cube. In order to extract massing volumes/planes a resolution of about 0.2m - 0.25m is quite optimal.
Btw, the attached file below has much better alignment. The top ridge now controls horizontal alignment and the walls on the tower of the roof controls vertical alignment. The scale is x100.
heddal - pointcloud (0.2m).aligned.skp8.skp (5.1 MB)
Fun fact, according to wikipedia the church was built by the giant/troll Finn who also erected the cathedrals in Lund and Trondheim.
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Iāve reprinted a part of the church, here you can see the overhang problems before cleanupā¦
The misprinted material forms a kind of support material with time and then it gets better againā¦
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Sufficient part cooling is critical for overhangs and bridgingā¦