A comparative analysis between active structured light and multi-view stereo vision technique for 3D reconstruction of face model surface

In some application fields, such as reverse engineering or ancient cultural protection, to collect surface information from objects to generate 3D data is necessary. In this work, active structured light and multi-view stereo vision approach are compared for 3D face reconstruction. The comparison is performed by projecting coded structured light and taking multi-view images for face model. The final point cloud from each sensor is compared in terms of measurements in the scanned objects, to determine which sensor is best suited depending on the environment. For a fair comparison, a preliminary analysis of the performances of the two techniques is produced. Our results can be used as a reference for further comparisons in the analysis of other 3D techniques and algorithms.