RESEARCHES

In this study, we propose a spatiotemporal selection type coded structured light projection method to make the best of both merits in measurement; high accuracy to a static object, and robustness to a moving object.

Our proposed concept has the following features: (a) projection of multiple coded structured light patterns that enable both encoding along the time axis and encoding in spatial neighborhood, (b) adaptive selection of encoding types in every local image region by calculating image features those are dependent of measured objects’ motion. These features of the coded pattern enable spatio-temporal selection type encoding that can select not only encoding along the time axis, but also encoding in the spatial domain. As a result, encoding along the time axis is selected in the region where is no motion, while encoding in spatial neighborhood is selected in the region where the brightness changes dynamically.

To demonstrate the effectiveness of our proposed algorithm using an off-line high-speed camera and a high-speed DLP projector, we show three-dimensional shape measurement results for three types of moving objects; (a) a rotating plane, (b) a waving piece of paper, and (c) a moving human hand.