Executive summary on

A structured light scanner can be used to reconstruct a 3D-model of an object. This is possible by use of stereo vision and structured light which can be con-structed from the knowledge of a special kind of binary code called Gray code. Matlab code has been obtained which can be used to reconstruct the 3D-model, but the code uses a lot of time to do reconstruction. The output of the code is a point-cloud which is saved in a matrix where the x- y- and z-coordinates are saved. As the data is saved in Matlab, the point-cloud can only be rendered in Matlab, which implies a number of limitations. As the scanner is dependent on the reflection of light a number of restrictions about the object is inevitable. In this report the Matlab-code has been optimized in order to perform the 3D-reconstruction faster and the optimization is described in details. A number of tests has been made in order the see how the scanner reconstructs different kinds of objects and in order to see how accurate the scanner reconstructs the model of the object. It has been shown that the scanner can not reconstruct transparent and reflective objects, as these surfaces will reflect the light in an unwanted wa