At that point, we'll have a 3D object with colors and texture. We will use Meshlab to construct a colored mesh around the point cloud. Later, we will use Meshlab and open that folder/project. When you click on the dense reconstruction button, it'll ask you to provide a folder path where you would like it to save the results.
MESHLAB 32 BIT INSTALL
After this, it will turn to the CMVS-PMVS software (if you've copied it into the root VisualSFM install folder with the VisualSFM executable) to do dense reconstruction which involves finding many more features from the image data to fill out the point cloud. Up to this point, it has performed "sparse reconstruction'. VisualSFM takes in photos that you've taken around a 3D object and then runs an algorithm/program against them (SiftGPU, based on David Lowe's work - Chang Chang Wu wrote SiftGPU and VisualSFM) to find "feature points" (types of features in images that are easy to find in other images when the object is viewed from a different angle or distance) and from these, find the relative positions of where your camera was when you took each picture. I will try to leave some leeway in these instructions for other OSs by including the overall links where you can find software for those versions, but the most detailed instructions at first will be for Windows versions (installation instructions at least, I think app usage will mostly be similar) until I get my Desktop back online with Ubuntu later and run through the process again for that, then document it.īefore going into the installation steps, here is a breakdown of what this set of software is doing / what we can do with it.
Note: I (Jacob Johnson, JJ) am currently using Windows.
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