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General / Re: How to limit number of cpus used by Photoscan?
« on: June 18, 2018, 03:50:19 PM »
Maybe it can be a workaround for win 10, but I use Photoscan on Linux mainly.
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If you use Lower accuracy with the same Tie Point Accuracy value, it would mean that due to large size of the key points (and therefore matching points) the referencing and optimization would mostly rely on the coordinate information of the cameras and markers.In my case gcp markers are unchecked and don't used in optimization procedure as I understand. If I understand you correctly in case of low accuracy setting (with same tie point setting as on high setting) model less rely on matched points, but why this is good? One possible reason I can imagine is that on high accuracy model more rely on matched points, but matched points contain errors and that leeds to bigger error.
PhotoScan matches images on different scales to improve robustness with blurred or difficult to match
images. The accuracy of tie point projections depends on the scale at which they were located.
PhotoScan uses information about scale to weight tie point reprojection errors. In the Reference pane settings dialog
tie point accuracy parameter now corresponds to normalized accuracy - i.e. accuracy of tie point detected
at the scale equal to 1. Tie points detected on other scales will have accuracy proportional to their scales.
This helps to obtain more accurate bundle adjustment results. On the processing parameters page of the
report (as well as in chunk information dialog) two reprojection errors are provided: the reprojection error
in the units of tie point scale (this is the quantity that is minimized during bundle adjustment), and the
reprojection error in pixels (for convenience). The mean key point size value is a mean tie point scale
averaged across all projections.
The error of your check points (= GCPs that have not been used as control points) are influenced by quite a number of factors, hence it will not simply linearly change depending on chosen quality settings in the photo alignment step.
Accuracy
Accuracy
Higher accuracy settings help to obtain more accurate camera position estimates. Lower accuracy
settings can be used to get the rough camera positions in a shorter period of time.
While at High accuracy setting the software works with the photos of the original size, Medium setting
causes image downscaling by factor of 4 (2 times by each side), at Low accuracy source files are
downscaled by factor of 16, and Lowest value means further downscaling by 4 times more. Highest
accuracy setting upscales the image by factor of 4. Since tie point positions are estimated on the
basis of feature spots found on the source images, it may be meaningful to upscale a source photo
to accurately localize a tie point. However, Highest accuracy setting is recommended only for very
sharp image data and mostly for research purposes due to the corresponding processing being quite
time consuming.