Paisitkriangkrai, Sakrapee; Shen, Chunhua; Zhang, Jian
Face detection plays an important role in many vision applications. Since Viola and Jones  proposed the first real-time AdaBoost based object detection system, much ef- fort has been spent on improving the boosting method. In this work, we first show that feature selection methods other than boosting can also be used for training an efficient ob- ject detector. In particular, we have adopted Greedy Sparse Linear Discriminant Analysis (GSLDA)  for its computa- tional efficiency; and...[Show more]
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