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In this paper, we propose a novel method, called "dynamic cascade", for training an efficient face detector on massive data sets. There are three key contributions. The first is a new cascade algorithm called "dynamic cascade ", which can train cascade classifiers on massive data sets and only requires a small number of training parameters. The second is the introduction of a new...
Lighting causes great variance for the objects. That makes the robust face detection a challenging problem. Although the spherical harmonic method provides a good framework for object rendering and inverse rendering, the requirement for the surface normal makes its application in face detection not practical. We propose a planar lighting model for the face images and give out a linear method to estimate...
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