Faces and Facial Features Detection in Color Images

Human face detection is concerned with finding the location and size of every human face in a given image. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression rec...

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Bibliographic Details
Published inGeometric Modeling and Imaging--New Trends (GMAI'06) pp. 209 - 214
Main Authors Berbar, M.A., Kelash, H.M., Kandeel, A.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Color
Detection algorithms
Eyes
Face detection
Face recognition
Facial features
Feature extraction
Human computer interaction
Mouth
Skin
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Summary:Human face detection is concerned with finding the location and size of every human face in a given image. Face detection plays a very important role in human computer interaction field. It represents the first step in a fully automatic face recognition, facial features detection, and expression recognition. There are many techniques used in face detection, each one has its advantages and disadvantages. The face detection system presented in this paper is a hybrid of known algorithms. First stage of the proposed method is applying skin detection algorithm to specify all skin locations in the image. Second, extract face features like eyes, mouth and nose. At the last, a verification step is applied to ensure that the extracted features are facial features. In experiments on images having upright frontal faces with any background our system has achieved high detection rates and low false positives
ISBN:9780769526041
0769526047
DOI:10.1109/GMAI.2006.18