Select all the unaligned photos (represented as dots instead of footprints in the model) from the Cameras folder under the BCIT_Field chunk, right-click, select Reset Camera Alignment then right-click again and select Align Selected Cameras,.Re-run Align Photos… using higher Key point and Tie point limits.If any photos remain unaligned after the initial attempt, several steps can be taken to align them. Sometimes, large data sets with complex, variable terrain (including trees), will result in misalignment of some photos. If the alignment is taking too long to complete (more than 20min), you can cancel the process and re-run it using lower quality settings and/or key/tie point limits. Results of the high quality alignment (which may take about 15min to complete) are shown below with 372,566 key tie points identified. From Workflow, select Align Photos… and set the parameters according to the screenshot below High alignment parameters radial, tangential, de-centering, etc.), it’s important to run an optimization which minimizes the effects of these distortions on the accuracy and precision of objects in the photos.Ĭlick Optimize Cameras, accept the defaults and click OK. Recognizing the fact that all cameras exhibit some degree of distortion (e.g. These points form the basis for stitching together all 92 photos together into a seamless mosaic.Ĭlick Show Cameras, rotate the view and you should see a result similar to the screenshot below Rotated sparse point cloud showing image footprints. The low quality photo alignment identified approximately 13,185 key tie points between the overlapping photos. The steps below outline the creation of several 3-D map products starting with a high quality sparse point cloud following optimized photo aligment.
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