Integrating multiple sensors for the closed-loop three-dimensional digitization

Abstract

In this article, we present a set of novel techniques, which include (1) sensor-stage calibration, (2) high-level script programming for the flexible control of data sensing, and (3) a framework for dynamic data sensing, visualization and shape modeling. It enables the integration of multiple three-dimensional sensors into one controlled three-dimensional digitization system for the closed-loop of data sensing and shape modeling. In this system, point, line, and area sensors with different sensing coverage, accuracies, and resolutions can be integrated into a multi-stage platform on which data acquisition from each sensor can be programmed in a controlled manner. In this manner, the closed-loop of data sensing and shape modeling can be achieved, which can significantly improve the overall digitization efficiency and shape modeling quality. Finally, two three-dimensional digitization examples of such multi-sensor system are demonstrated, (1) complementary integration of multiple sensors for three-dimensional digitization and (2) the closed-loop of dynamic data sensing and shape modeling to significantly improve overall sensing efficiency and shape modeling quality.