1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchSteve Linhttps://www.microsoft.com/en-us/research/people/stevelin/Face alignment under variable illumination - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="Tvs7d3ieY4"><a href="https://www.microsoft.com/en-us/research/publication/face-alignment-variable-illumination/">Face alignment under variable illumination</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/face-alignment-variable-illumination/embed/#?secret=Tvs7d3ieY4" width="600" height="338" title="“Face alignment under variable illumination” — Microsoft Research" data-secret="Tvs7d3ieY4" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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This paper presents an approach to face alignment under variable illumination, an obstacle largely ignored in previous 2D alignment work. To account for illumination variation, our method employs two forms of relatively lighting-invariant information. Edge phase congruency is adopted to coarsely localize facial features, since prominent feature edges can be robustly located in the presence […]