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JH2R: Joint Homography Estimation for Highlight Removal

Sungmin Eum, Hyungtae Lee, David Doermann
<span title="">2015</span> <i title="British Machine Vision Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6bfo5625nvdfvbgyf7ldi5wmfe" style="color: black;">Procedings of the British Machine Vision Conference 2015</a> </i> &nbsp;
In our approach, we first detect the highlight regions at the feature level by jointly estimating the two homographies using the proposed Joint Homography Estimation for Highlight Removal (JH2R) algorithm  ...  We then detect where the highlights are by searching for the two separate homography matrices: one for the content (H C ) and the other for the highlights (H H ).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5244/c.29.49">doi:10.5244/c.29.49</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bmvc/EumLD15.html">dblp:conf/bmvc/EumLD15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/upb5tghdqncvpksgsp3bfjvrty">fatcat:upb5tghdqncvpksgsp3bfjvrty</a> </span>
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