A component-based framework for face detection and identification

doi:10.1007/s11263-006-0006-z

A component-based framework for face detection and identification

2006-12-19

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DOI：10.1007/s11263-006-0006-z

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We present a component-based framework for face detection and identification. The face detection and identification modules share the same hierarchical architecture. They both consist of two layers of classifiers, a layer with a set of component classifiers and a layer with a single combination classifier. The component classifiers independently detect/identify facial parts in the image. Their outputs are passed the combination classifier which performs the final detection/identification of the face. We describe an algorithm which automatically learns two separate sets of facial components for the detection and identification tasks. In experiments we compare the detection and identification systems to standard global approaches. The experimental results clearly show that our component-based approach is superior to global approaches.

Keywords:

face detection

face identification

face recognition

object detection

object recognition

support vector machines

components

fragments

parts

hierarchical classification

A component-based framework for face detection and identification

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