Face recognition based on color model

Zhang, Ying; Huang, Daoli; Guo, Hong; Gao, Feng

doi:10.1117/12.896379

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Fig 1 Flow Of the Face Detection1

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2011

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“…Face Segmentation via Using Color Model. As it is illustrated in my previous paper [1], the face candidates are likely to be chosen through the color segmentation. Concretely speaking, they will be trained via using the following color models.…”

Section: Fig 1 Flow Of the Face Detectionmentioning

confidence: 99%

Face Detection Based on Color Model and Grayscale Value Distribution

Zhang

2011

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With the development of technology concerning face recognition, it has aroused great attentions from related scientists and is envisioned to be widely applied in various fields in the future. In this paper we are going to describe an effective way for detecting face in the statistic images. The proposed method will firstly detect face region via using the color model, which has been described in my previous paper [1] so as to locate the candidate pixels. Then we analyze the gray value distribution of candidate pixels to segment a more accurate region. Finally the face region is likely to be obtained after the exclusion of superfluous skin region.

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Section: Fig 1 Flow Of the Face Detectionmentioning

confidence: 99%