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Combining Scans from Ray and Different Artec Scanners

Sometimes, we find ourselves in a position where we want to have an exceptionally detailed resolution in certain areas of the scan. It also occurs that we need to scan a difficult-to-reach area of an object, and are unable to access this area with the Ray. In cases like these, we resort to the practice of combining data from several different scanners.

Data captured with the Artec Ray can be easily aligned, registered, and fused together with Eva, Leo, and Space Spider data. There is only one essential limitation to consider: due to the format differences, the raw data from the Ray must be either fused or triangulated before becoming eligible for combination with other datasets. 


Process the Ray dataset separately

  • Align/global register all Ray scans (by targets or geometry) so that they are all correctly positioned in relation to each other (set Preset to Artec Ray).
  • Create a Fusion of Triangulation from the Ray data.
  • Align the Leo/Eva/Space Spider data with this Ray Fusion/Triangulation.
  • Perform a Global Registration of the Leo/Eva/Space Spider data together with the Ray Fusion/Triangulation (change Preset to Leo).mceclip1.png
  • This step is key:
    Usually, when performing a Global Registration of just the Leo data, the frames will be registered in relation to each other. Any accumulated error (or selective frames with bad features) will negatively impact the registration result, and can even cause "warping" of the scans, especially on long, straight objects.
    But when you run the Global Registration of the Leo scans together with the Ray Fusion, two things occur simultaneously:
    1. Leo/Eva/Space Spider frames are registered in relation to each other (as usual)
    2. Leo/Eva/Space Spider frames are registered in relation to the Ray Fusion (this is the main difference)
  • The second step "forces" the Leo frames into the right positions, thereby correcting any potential accuracy mess-ups and scan warping. As the Ray scanner itself is very accurate in itself, the results are very good, to say the least.
  • Next, once your Leo data has been correctly registered, you can perform a Fusion (only on the Leo data, set Preset to Leo). This will preserve the detail captured using the Leo.
  • Now you have two fusions: one for Ray and one for Leo. Run Global Registration on the two fusion models. This will serve as a sort of "fine align" between the two and will make sure that the two fusion models are positioned optimally in relation to each other.
  • Make a fusion of the Ray fusion model and the Leo fusion model.
  • The result will be a single fusion from the two initially separate datasets.




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