IEEE Trans Image Process - Local directional number pattern for face analysis: face and expression recognition.

Tópicos

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Resumo

This paper proposes a novel local feature descriptor, local directional number pattern (LDN), for face analysis, i.e., face and expression recognition. LDN encodes the directional information of the face's textures (i.e., the texture's structure) in a compact way, producing a more discriminative code than current methods. We compute the structure of each micro-pattern with the aid of a compass mask that extracts directional information, and we encode such information using the prominent direction indices (directional numbers) and sign-which allows us to distinguish among similar structural patterns that have different intensity transitions. We divide the face into several regions, and extract the distribution of the LDN features from them. Then, we concatenate these features into a feature vector, and we use it as a face descriptor. We perform several experiments in which our descriptor performs consistently under illumination, noise, expression, and time lapse variations. Moreover, we test our descriptor with different masks to analyze its performance in different face analysis tasks.

Resumo Limpo

paper propos novel local featur descriptor local direct number pattern ldn face analysi ie face express recognit ldn encod direct inform face textur ie textur structur compact way produc discrimin code current method comput structur micropattern aid compass mask extract direct inform encod inform use promin direct indic direct number signwhich allow us distinguish among similar structur pattern differ intens transit divid face sever region extract distribut ldn featur concaten featur featur vector use face descriptor perform sever experi descriptor perform consist illumin nois express time laps variat moreov test descriptor differ mask analyz perform differ face analysi task

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