| Popis: |
While industry 4.0 thrives, the needs related to three-dimensional assessment of industrial products growths in complexity. Frequently, this complexity cannot be achieved by one single sensor without outstandingly escalating procedural expenses, which can be prohibitive for many applications. Photogrammetry is an imagebased three-dimensional measurement technique which can offer good metrological results, although presenting limitations specially when using the object texture for point correspondence. Employing an infrared camera can imply in advantages when measuring components with low number of surface features or translucent workpieces, but generally they do not have resolution enough to properly reconstruct the object with typical photogrammetry techniques. This scenario is proper for using data fusion of two or more sensors, resulting in a more informative point cloud. Therefore, it is proposed in this work the three-dimensional measurement of a transparent workpiece using data seized from a visible-light camera and an infrared camera. In the proposed approach, a pixel-level image fusion technique based on two-dimensional wavelet decomposition as a step of the registration process is used to combine images from these devices. This procedure is compared with the reconstruction of the object using only the infrared images and only the visible-light images. The results show a more complete point cloud using data fusion compared to use only visible-light or infrared images. |
