Adaptive Fringe Projection for 3D Shape Measurement with Large Reflectivity Variations by Using Image Fusion and Predicted Search

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Direction</td><td class="align_center">Maximal value (mm)</td><td class="align_center">Average error (mm)</td><td class="align_center">Standard deviation (mm)</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">Negative direction</td><td class="align_center">−3.3964</td><td class="align_center">−0.6236</td><td class="align_center">1.2337</td></tr><tr><td class="align_left">Absolute direction</td><td class="align_center">4.9624</td><td class="align_center">0.0047</td><td class="align_center">0.1104</td></tr><tr><td class="align_left">Forward direction</td><td class="align_center">4.9624</td><td class="align_center">0.0017</td><td class="align_center">0.0692</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Evaluation and analysis of the point cloud by our proposed method for Figure <a href="../fig13/">13</a>.</div>

International Journal of Optics

tab3

Table 3

Table 3: Adaptive Fringe Projection for 3D Shape Measurement with Large Reflectivity Variations by Using Image Fusion and Predicted Search 