کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409463 679072 2006 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sub-intrapersonal space analysis for face recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Sub-intrapersonal space analysis for face recognition
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 13–15, August 2006, Pages 1796–1801
نویسندگان
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