Single-shot three-dimensional reconstruction based on structured light line pattern.

Highlights • We propose a robust one-shot three-dimensional imaging method based on image processing. • We propose a top to bottom clustering algorithm to cluster the continuous lines robustly. • We propose a phase map computation method based on the clustered lines. Abstract Reconstruction of the object by single-shot is of great importance in many applications, in which the object is moving or its shape is non-rigid and changes irregularly. In this paper, we propose a single-shot structured light 3D imaging technique that calculates the phase map from the distorted line pattern. This technique makes use of the image processing techniques to segment and cluster the projected structured light line pattern from one single captured image. The coordinates of the clustered lines are extracted to form a low-resolution phase matrix which is then transformed to full-resolution phase map by spline interpolation. The 3D shape of the object is computed from the full-resolution phase map and the 2D camera coordinates. Experimental results show that the proposed method was able to reconstruct the three-dimensional shape of the object robustly from one single image. [ABSTRACT FROM AUTHOR]