The problem of using light stripe projection (LSP) for reconstructing the 3D surface of several objects positioned at different distances from the camera is addressed in this paper. It is shown using LSP for 3D surface reconstruction of objects at different depths can be significantly improved if adaptive edge detection filter is added. The filter is designed as a local dynamic hysteresis thresholding value generator. It adapts knowledge of the wavelet coefficients in a small neighborhood on the row profile and generates the local hysteresis threshold values to detect a meaningful and useful edge. It is then shown how the filter may be designed to recover missing LSP features by using common edge detection technique and how it increases the accuracy and reliability of 3D surface reconstruction. The adaptive edge detection filter is illustrated by the presentation of experimental results obtained using the methods described in the paper. A test outlines the differences between LSP edges detected with the adaptive edge detection filter and edges detected without the filter.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.