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The column in the middle shows the mean reprojection error related to each picture, while the "Point Seen" column indicates the amount of keypoints (namely the points the software was able to retrieve the position in the room) detected in each photo. By clicking on the entries Mean Reproj. Error and Point Seen users are allowed to sort the values out in both decreasing and ascending order. Generally a well-oriented picture with a good accuracy degree will have a low reprojection error as well as many points seen. Points seen represent the equations amount exploited during reconstruction phase, so their high value is related to a higher reliability of final result. It is also recommend to notice that the reprojection error does not provide a precise degree of the result since it always has to be correlated to the sensor size of a camera rig. Extracting a dense point cloud To start the process simply click on Workflow > Dense Point Cloud Generation (11) or click on the corresponding icon in the toolbar.