کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948318 1439611 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Structured regularized robust coding for face recognition
ترجمه فارسی عنوان
برنامه نویسی قوی ساختاری برای تشخیص چهره
کلمات کلیدی
سازگاری منظم، برنامه نویسی قوی نمایندگی انحصاری، یادگیری وزن پیکسل، تشخیص چهره،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
The sparse representation based classifier (SRC) has been successfully applied to robust face recognition (FR) with various variations. To achieve much stronger robustness to facial occlusion, regularized robust coding (RRC) was proposed by designing a new robust representation residual term. Although RRC has achieved the leading performance, it ignores the structured information (i.e., spatial consistence) embedded in the occluded pixels. In this paper, we proposed a novel structured regularized robust coding (SRRC) framework, in which a weight value is assigned to each pixel to measure its importance in the coding procedure and the spatial consistence of occluded pixels is exploited by the pixel weight learning (PWL) model. Efficient algorithms were also proposed to fast learn each pixel's weight value. The experiments on face recognition in several representative datasets clearly show the advantage of the proposed SRRC in accuracy and efficiency.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 216, 5 December 2016, Pages 18-27
نویسندگان
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