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Publications:Illuminance Flow Estimation by Regression
Abstract <p>We investigate the estimation of <p>We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HOGs). In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as the second moment matrix). Theoretical results are presented showing in detail how the structure tensor and the HOGs are connected. This relation will benefit computer vision tasks such as affine invariant texture/object matching using HOGs. Several properties of HOGs are presented, among others, how many bins are required for a directionality measure, and how to estimate HOGs through spatial averaging that requires no binning.</p>raging that requires no binning.</p>
Author Stefan Karlsson + , Sylvia C. Pont + , Jan J. Koenderink + , Andrew Zisserman +
DOI http://dx.doi.org/10.1007/s11263-010-0353-7  +
Diva http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:537591
EndPage 312  +
Issue 3  +
Journal International Journal of Computer Vision  +
PublicationType Journal Paper  +
Publisher Elsevier  +
StartPage 304  +
Title Illuminance Flow Estimation by Regression  +
Volume 90  +
Year 2010  +
Has queryThis property is a special property in this wiki. Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression + , Publications:Illuminance Flow Estimation by Regression +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 30 September 2016 20:40:17  +
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