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Aiming at unloading the high training time burden of the popular cascaded classifier, in this paper, a novel cascade structure called Fea-Accu cascade is proposed. In Fea-Accu cascade training, the ti...
Optimization of a training set for more robust face detection
Face detection Manifold Genetic algorithm Resampling
2013/7/16
The performance of a learning-based method highly depends on the quality of a training set. However, it is very challenging to collect an efficient and effective training set for training a good class...
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade for Fast and Accurate Face Detection
Locally Assembled Binary (LAB) Feature with Feature-centric Cascade Fast and Accurate Face Detection
2013/7/17
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
Face Detection Based on the Example Resampling by Manifold
Face Detection the Example Resampling
2010/12/16
As a large-scale database of hundreds of thousands of face images collected from the Internet and digital cameras becomes available, how to utilize it to train a well-performed face
detector is a qui...
Abstract. Data collection for both training and testing a classifier is a tedious
but essential step towards face detection and recognition. It is a piece of cake to
collect more than hundreds of th...
Novel Face Detection Method Based on Gabor Feature
Novel Face Detection Method Gabor Feature
2010/12/15
Gabor-based Face representation has achieved great success in face recognition, while whether and how it can be applied to face detection is rarely studied. This paper originally investigates the Gabo...