Generating Bird’s Eye View from Egocentric RGB Videos

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Factor</td><td class="align_center">I</td><td class="align_center">II</td><td class="align_center">III</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Image quality</td><td class="align_center">8.5</td><td class="align_center">6</td><td class="align_center">8.5</td></tr><tr><td class="align_left">Crucial information present</td><td class="align_center">6.5</td><td class="align_center">8</td><td class="align_center">8.5</td></tr><tr><td class="align_left">Details persevered</td><td class="align_center">8.5</td><td class="align_center">5</td><td class="align_center">8</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>A user study on different types of generated images from differences in preprocessing.</div>

Wireless Communications and Mobile Computing

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Table 1

Table 1: Generating Bird’s Eye View from Egocentric RGB Videos 