A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:4.36em"/><col style="width:5.51em"/><col style="width:4.78em"/><col style="width:5.42em"/><col style="width:5.05em"/><col style="width:6.23em"/><col style="width:9.32em"/></colgroup><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Indexes</td><td class="align_center">Brightness</td><td class="align_center">Contrast</td><td class="align_center">Saturation</td><td class="align_center">Exposure</td><td class="align_center">Step degrees</td><td class="align_center">Photograph interval</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Value</td><td class="align_center">150</td><td class="align_center">34</td><td class="align_center">32</td><td class="align_center">10</td><td class="align_center">0.45°</td><td class="align_center">0.5 s</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Environmental calibration parameters of experiments.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing 