newb question re image inputs

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    Wishgranter
    Hi Shawn Allen

    the GSV workflow can work, but need a plenty of imgs ( overlap ) to get "decent" model quality...

    can post screenshot so can better understand what you deal with ?
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    Shawn Allen
    I've put an image online as well as my project, as I suspect that might help.

    Thanks for checking it out!
    https://www.nads-sc.uiowa.edu/userweb/sallen/capture.html

    Image:
    Image
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    Wishgranter
    Hi Shawn Allen

    yes as can see RC (and other sw too ) are not good for so low images count to get useful results
    when have very low images then its better to use IMAGE BASED modeling

    if want use photogrammetry, then need just much more image so it can reliable work
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    Shawn Allen
    Ah.

    Would a video source be sufficient, or do the images need some angular differentiation in order to work?? I'm guessing the answer is no, and yes.

    For example, driving a car down a road, taking a video, extracting images every 1-2 seconds would produce a pile of images.

    Meanwhile I'll go poke at the FAQ.

    Thanks!
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    Wishgranter
    Hi Shawn

    Would a video source be sufficient, or do the images need some angular differentiation in order to work?? I'm guessing the answer is no, and yes.

    this is named as forward looking capture its not the best one BUT if could get say 2 cameras and sync them (in msec range ) for picture capture and set them on say both sides of car ( stereopair config ) and make them look on same "target" say 5m in front it would be the very good setup.

    the Videogrammetry ( using video for recon ) is not very good if cannot have RAW video data as the video CODECs downgrade the image quality ( sometimes very strong ) + you still have just 4k video (3840 x 2120 pix ) approx. then if use it for recon you get NOT per pixel 3D information, you get say 1/4 to 1/8 of resolution 3D results. So do the math what is result resolution...

    best if use "classical" photogrammetry workflows with say 12+ Mpix camera
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