Low-Cost Three-Dimensional Surface Recovery Scanner for Fine-Detailed Objects

This paper aims to develop a Low-cost three-dimensional (3D) scanning device to reconstruct surfaces of objects with fine details or small in size. In this work, a prototype model is examined that mimics a larger scanner that can be utilized for bulky objects. The model consists of two stepper motors, one forces vertical displacement, while the second forces object rotation. A distance infrared (IR) sensor will collect the depth at each rotation angle and vertical displacement. After collecting the distances, an image restoration algorithm is applied to enhance fine details. The algorithm applies an averaging filter in the x and y-axis coordinates that reduce noising effects. The surface image was generated using MeshLab software. Different 3D objects have been examined using the proposed scanner that demonstrates promising exterior shape reconstruction. s