IEEE Trans Image Process - Local structure-based image decomposition for feature extraction with applications to face recognition.

Tópicos

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Resumo

This paper presents a robust but simple image feature extraction method, called image decomposition based on local structure (IDLS). It is assumed that in the local window of an image, the macro-pixel (patch) of the central pixel, and those of its neighbors, are locally linear. IDLS captures the local structural information by describing the relationship between the central macro-pixel and its neighbors. This relationship is represented with the linear representation coefficients determined using ridge regression. One image is actually decomposed into a series of sub-images (also called structure images) according to a local structure feature vector. All the structure images, after being down-sampled for dimensionality reduction, are concatenated into one super-vector. Fisher linear discriminant analysis is then used to provide a low-dimensional, compact, and discriminative representation for each super-vector. The proposed method is applied to face recognition and examined using our real-world face image database, NUST-RWFR, and five popular, publicly available, benchmark face image databases (AR, Extended Yale B, PIE, FERET, and LFW). Experimental results show the performance advantages of IDLS over state-of-the-art algorithms.

Resumo Limpo

paper present robust simpl imag featur extract method call imag decomposit base local structur idl assum local window imag macropixel patch central pixel neighbor local linear idl captur local structur inform describ relationship central macropixel neighbor relationship repres linear represent coeffici determin use ridg regress one imag actual decompos seri subimag also call structur imag accord local structur featur vector structur imag downsampl dimension reduct concaten one supervector fisher linear discrimin analysi use provid lowdimension compact discrimin represent supervector propos method appli face recognit examin use realworld face imag databas nustrwfr five popular public avail benchmark face imag databas ar extend yale b pie feret lfw experiment result show perform advantag idl stateoftheart algorithm

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