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Articles

Vol. 6 No. 1 (2020): Special Issue: Proceedings of CVIS 2020

Rectification Based Single-Shot Structured Light for Accurate and Dense 3D Reconstruction

DOI
https://doi.org/10.15353/jcvis.v6i1.3561
Submitted
January 15, 2021
Published
2021-01-15

Abstract

Structured Light (SL) patterns generated based on pseudo-random arrays are widely used for single-shot 3D reconstruction using projector-camera systems. These SL images consist of a set of tags with different appearances, where these patterns will be projected on a target surface, then captured by a camera and decoded. The precision of localizing these tags from captured camera images affects the quality of the pixel-correspondences between the projector and the camera, and consequently that of the derived 3D shape. In this paper, we incorporate a quadrilateral representation for the detected SL tags that allows the construction of robust and accurate pixel-correspondences and the application of a spatial rectification module that leads to high tag classification accuracy. When applying the proposed method to single-shot 3D reconstruction, we show the effectiveness of this method over a baseline in estimating denser and more accurate 3D point-clouds.