Dear All, I am trying to map an image onto a 3D surface. The image contains reference points, which with known 2D pixel coordinates. The 3D equivalent of these reference points is as well known. The 3D shape is represented by a set of X-Y-Z coordinates.
For mapping the image onto a delaunay-triangulated surface I found following function: "imremap"...which - as far as I understand - should do what I want. now: "imremap" uses "interp2"...and unfortunately both functions are in octave. imremap: https://searchcode.com/codesearch/view/9585363/ interp2: https://searchcode.com/codesearch/view/20327397/ Converting the functions to Scilab seems to become an elephant, especially for interp2. If one could avoid "interp2" , then "imremap" could be possible relatively easy converted to Scilab. Any ideas which Scilab function would work like interp2? Thank you, Philipp
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