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Laser scanning of real object based on the laser triangulation to obtain 3D computer models has gained a lot of attention and popularity due to its price affordability and performance, especially in the field of control and reverse engineering. Therefore, a considerable amount of research has been conducted also on enhancing the quality of measuring results, which is constrained by optical laws and hardware limitations. Laser scanning system can be compared in several different ways, as it has been suggested by different research works and methods for quality evaluation. Feng [1] and Xi [2] suggested separating the error into its systematic and random component since they have a different origin, and the systematic error is usually much easier to control. To achieve that, they introduced a combination of a flat surface and a ball to estimate the measurement error in their experiments. Lartigue, Contri and Bourdet observed the quality of digitized point clouds [3] and [4]. They introduced the following four criteria: density, completeness, noise and accuracy.