Merging Meshes from Different 3D Scanners
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Creating digital representation of physical objects is becoming more and more popular as scanning technology becomes more available on the consumer marked. High precision close range scanners, based on structured light, can produce high precision meshes in short amount of time, while automated photogrammetric software can process images taken with ordinary cameras to re-create a three dimensional scenes. Unfortunately the quality of digitalization is bound to the volume of the captured scene, creating a trade of between quality and speed of acquisition. In this master thesis we present software that can merge the output of two different scanners to create a combined mesh with regions of different resolution. We propose two methods to identify corresponding regions in meshes and a variation of greedy triangulation algorithm. At the end we perform tests on combined meshes to assess the quality of merging and present the results.