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« on: November 28, 2017, 07:41:18 PM »
Hello!
I just made some tests with Photoscan when generating Sparse Cloud:
Workflow 1:
1. Add chunk
2. Add photos (155 photos)
3. Convert from WGS84 to my desirable one (mine is SIRGAS2000 UTM)
4. Align with highest accuracy and standard tie and key points limit (using 80.000/8.000) = gives 153 aligned cameras.
5. Import markers (*xml Agisoft Markers) [previously done with the same photos getting the lowest error possible]
6. Uncheck cameras and check the proper markers
7. Update & Optimize
8. Read the reference pane
This gives me control points error as 0.006623 and check points error as 0.031124.
Workflow 2:
1. Add chunk
2. Add photos (the same 155 photos)
3. Convert coordinates reference
4. Add markers (import)
5. Uncheck all photos in the reference pane
6. Align with the same previously parameters (highest/80,000/8,000) = gives 151 aligned cameras.
7. Update & Optimize
8. Read the results in the reference pane
This workflow 2 gives: control points error as 0.006235 and check points error as 0.030192.
So my questions are (despite quite small differences):
A) Alignment: does it gives different alignment every time I run Align photos...?
B) Referencing: does it matters the order to put or am I doing it wrong?
C) Shouldn´t give the same numbers of aligned cameras and error even though different ordered steps workflows?
The non-aligned cameras are those acquired with high vegetation (on both workflows) that I was already expecting difficult in the alignment.
Thanks in advance!
PS. My workflow was updated on post bellow!