Optical measurement network for large-scale and shell-like objects.

An optical measurement method for large-scale and shell-like objects is proposed and is verified by experiments. The underlying concept is a model-based optical measurement network consisting of multinode three-dimensional (3D) sensors. To achieve this, a synthetic calibration method is presented to enable the measurement. A phase-aided active stereoscopy is thus applied to each node sensor for acquiring partial range images from different viewpoints. The multiple range images are then registered to obtain a 3D reconstructed model, which is compared with the computer-aided design (CAD) model to quantitatively reveal the differences between the two models. Experiment results are also presented to validate the proposed approach.