TY - JOUR AU - Farsangi, Sina AU - Naiel, Mohamed A. AU - Lamm, Mark AU - Fieguth, Paul PY - 2021/01/15 Y2 - 2024/03/29 TI - Rectification Based Single-Shot Structured Light for Accurate and Dense 3D Reconstruction JF - Journal of Computational Vision and Imaging Systems JA - J. Comp. Vis. Imag. Sys. VL - 6 IS - 1 SE - Articles DO - 10.15353/jcvis.v6i1.3561 UR - https://openjournals.uwaterloo.ca/index.php/vsl/article/view/3561 SP - 1-3 AB - <div class="row"><div class="span8" data-bind="html: abstract.htmlMultiLineEncode()">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.</div></div> ER -