Kernel machine based learning for multi-view face detection and pose estimation

Face images are subject to changes in view and illumination. Such changes cause data distribution to be highly nonlinear and complex in the image space. It is desirable to learn a nonlinear mapping from the image space to a low dimensional space such that the distribution becomes simpler tighter and...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Li, S.Z., Qingdong Fu, Lie Gu, Scholkopf, B., Yimin Cheng, Hongjiag Zhang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Face detection Face recognition Feature extraction Kernel Lighting Machine learning Predictive models Principal component analysis Space technology Support vector machines
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