Photo adjustment for face modeling

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    Wishgranter
    Hi Arseniy
    Are you using a single camera scanning or multi camera head scanner ?
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    Arseniy
    Wishgranter wrote:
    Hi Arseniy


    Are you using single cam scanning or multi camera head scanner ?


    We using multi camera studio
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    Wishgranter
    Hi Arseniy

    Ok and the scanner is with FIXED cameras or you change the cam setup per subject ??
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    Arseniy
    there is fixed cameras setup
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    Wishgranter
    Hi Arseniy
    create a mock-up with newspaper on them, approximately of the size of the subject head. the newspaper will help align it very well.
    then select ALL images and use METADATA (XMPs) and export camera positions, set the LOCKED option in the export settings of XMPs.

    But keep in mind the images MUST have the same filenames !!!! or it will not work..

    then just copy the XMPs next to the data you need to reconstruct and hit align. the XMPs will be used and no additional settings need to be used...
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    Arseniy
    Hello, Wishgranter!

    You mean to create a physical mockup and take a photo scan from that?
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    Wishgranter
    Hi Arseniy

    YES.. a mockup that will be used for calibration of the scanner....
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    Arseniy
    Okey, thank you!

    Ill try it and then report you :)
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    Arseniy
    one more question..
    is it available to export XMPs in demo RC version ?
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    Wishgranter
    Hi Arseniy
    NO, from the demo you cannot export XMPs
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    Boris Goreta
    What are the 6 numbers in XMP file between xcr:Rotation marks, I was expecting 3, heading, pitch and bank. I need to put these manually in Lightwave. Position works.
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    Wishgranter
    Hi Boris
    Why don’t you use FBX to transfer the camera parameters ?
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    Arseniy
    Hello, Wishgranter!

    Here the results of my test.. The mockup camera calibrations is really good. But the same XMPs is not working on child photos. We have locked camera positions on the studio, but the angles coult be changed on 5-10%. Is that cause failure like that or I`d make some mistakes?

    Thanks a lot!
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    Wishgranter
    Hi Arseniy
    Interesting... do you have the same filenames for XMPs and images ?

    Can you send me the mockup data and test dataset so that I can take a look at it ?
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    Arseniy
    Yes, filenames is the same, I had check it couple of times

    Were should I send it? on your e-mail?
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    Wishgranter
    Hi Arseniy
    Yes, send it to my email
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    Arseniy
    I`ve send it via https://wetransfer.com/, you might have a notification
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    Arseniy
    Greetings, Wishgranter!

    Any news regarding my issue? Thanks!
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    vilem.duha
    Hi, one Idea, did you shoot raw photos?
    You can colorcorrect before processing, that might help too. Remember, also when you focus on your subject, your camera actually changes it's properties.
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    Arseniy
    vilem.duha wrote:
    Hi, one Idea, did you shoot raw photos?
    You can colorcorrect before processing, that might help too. Remember, also when you focus on your subject, your camera actually changes it's properties.


    Yes, you`re right, colorcorrection actually helps, but not too much
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    Wishgranter
    Hi Arseniy
    So I have inspected the dataset and:

    1. images are NOT in the same positions as the reference dataset for creating XMPs = moved, adjusted camera positions, angles ??
    or image names are not correct ? ( image numbering issue ? )
    that is why you get BAD reconstruction that is far away from ideal results, as your cameras have different angles from the reference data and it is not possible to use them....

    2. photos of kids are in JPEGs with pretty bad quality ? you did not send me the RAW files....
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    vilem.duha
    Arsenyi, some more tips:
    try setting in alignment settings image downscale factor to 1
    I am in a similar situation, reconstructing some data from a not much rich camera array(only 11 cams).This improved the calibration for me. But I have similar problem, some models are very noisy, while others smooth. It's a lot about the models skin shininess I think....

    Another important parameter is Adaptive blending start in advanced reconstruction settings. It can, If I understand it correctly, determine influence of depth maps, and in case of not having 360 degrees covered, it might improve the coverage. Sadly, by now the parameter can't go over 0.5. Default is 0.45. Wishgranter, would it be possible to allow higher values for this parameter? Not sure if I understood it right, but by my tests it behaves this way( direction of depthmap vs normal of suface -> depth map is used or not on a certain area).

    I am also curious if you find another ways to improve the result.
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