Texture fusion is essential for three-dimensional photo-realistic texture model reconstruction. Multi-resolution texture fusion mainly is applied to reconstruct three-dimensional models that the local texture is very realistic. This paper presents a multi-resolution texture fusion algorithm based on digital image processing. The technique utilizes the depth camera to obtain range data and the texture camera to obtain the local interested high-resolution texture of the object. And each point of the range images a pixel of the picture corresponding to this view should be found, so the map between high-resolution texture and local three-dimensional points could be obtained by calibrating texture camera and depth camera to register the local high-resolution texture with the low resolution texture collected by the depth camera or calibrating texture camera and depth camera. ICP is applied to register models, and mapping different-resolution textures onto three-dimensional models. Then the light source correction of textures is applied to remove the systematic differences such as lighting change which are achieved by computing linear regression correction mode. Finally, the global correction is applied to refine the observable variations in color that may still exist near the fusion boundaries. These corrections will utilize the grid triangle vertex color as a constraint to drive texture fusion to remove discontinuities from different resolutions. The advantage of this technique is that it utilizes the light source correction and global correction to fuse different resolutions textures. Experiments with this technique indicate that it significantly corrects the observable discontinuities within the overlapping areas, which are given from different resolutions, lighting change, non-lambertian object surface, etc.
Fringe projection profilometry (FPP) has been one of the most popular non-contact methods for 3D surface measurement
in recent years. In FPP, the quality of the fringe pattern determines the measurement accuracy and measurement range to
a great extent. In this paper, we proposed a high-quality fringe projection method using a biaxial MEMS scanning mirror
and a laser diode (LD). The fringe pattern is produced by a very low NA (numerical aperture) scanning laser beam.
Compared with pixel array based fringe pattern generation method, such as DLP and LCOS, the generation method can
produce higher performance fringe pattern, which is high contrast, narrow pitch and long depth. In this paper, we also
did a contrast between different fringe pattern generation methods.