کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
534910 | 870303 | 2008 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Fusion of visual and infra-red face scores by weighted power series Fusion of visual and infra-red face scores by weighted power series](/preview/png/534910.png)
This paper proposes a weighted power series model for face verification scores fusion. Essentially, a linear parametric power series model is adopted to directly minimize an approximated total error rate for fusion of multi-modal face verification scores. Unlike the conventional least-squares error minimization approach which involves fitting of a learning model to data density and then perform a threshold process for error counting, this work directly formulates the required target error count rate in terms of design model parameters with a closed-form solution. The solution is found to belong to a specific setting of the weighted least squares. Our experiments on fusing scores from visual and infra-red face images as well as on public data sets show promising results.
Journal: Pattern Recognition Letters - Volume 29, Issue 5, 1 April 2008, Pages 603–615