Ttriangulation technique is one of the most commonly techniques used in three dimensional measurements. Hardware and software used in 3D scanning systems are main error sources affected the accuracy of scanners. Depth reconstruction accuracy is a direct impact of the quantization process, and so it is related to the pixel size of the sensor. Dithering technique may be used to reduce the errors during quantization. The current study introduces a technique in which a relative fine movement between object and sensor is generated during picture capture. Although, using this technique will improve the accuracy of scanning but changing the hardware set up during the process is also time consuming. So to deal with this problem the dithering technique is simulated using the linear regression to reduce the scanning time. The paper firstly describes the theory of the noise introduction technique followed by modeling and simulation of the process by regression function. The results obtained from simulation show great improvement in measurement accuracy. To evaluate the result in a real world, a control rig was designed and built following which experiment was performed. The results showed considerable improvement in measurement accuracy. The result of both simulation and experiments are reported.