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