کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
409463 | 679072 | 2006 | 6 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Sub-intrapersonal space analysis for face recognition Sub-intrapersonal space analysis for face recognition](/preview/png/409463.png)
Bayesian subspace analysis has been successfully applied in face recognition. However, it suffers from its operating on a whole face difference and using one global linear subspace to represent the similarity model. We develop a novel approach to address these problems. The proposed method operates directly on a set of partitioned local regions of the global face differences, and a separate Gaussian distribution is used to model each sub-intrapersonal space, accordingly. By combining all the local models, we can represent the complex intrapersonal variations more accurately. We further improve the system performance by reducing the contribution of local subspaces containing large variations using a smoothing method. The experiments on several standard face sets show that the proposed method is competitive.
Journal: Neurocomputing - Volume 69, Issues 13–15, August 2006, Pages 1796–1801