I am working my way through calibrating six lenses using Torsten Bronger's technique and his calibrate.py. This has made collating data so much easier for vignetting.
Distortion and TCA are more difficult for me, I don't have any suitable large buildings here in rural East Anglia, especially for wider lenses. I could use the multi-image method, for distortion at least, but want to avoid that if possible. Has anyone tried using night sky images and star charts with Hugin in a similar way to that outlined in the PTGui tutorials for distortion? Regarding TCA, I do have many trees in my area and it occurred to me that images of leafless tree canopies against a light coloured cloudy sky might provide suitable images as long as there is plenty of angular variation across the image and backlighting is low. Does anyone have any thoughts on these possibilities, especially any reasons as to why they may not produce useful results? Once complete my lens data will be submitted of course. ------------------------------------------------------------------------------ Put Bad Developers to Shame Dominate Development with Jenkins Continuous Integration Continuously Automate Build, Test & Deployment Start a new project now. Try Jenkins in the cloud. http://p.sf.net/sfu/13600_Cloudbees _______________________________________________ Lensfun-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/lensfun-users
