Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection

Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection

We propose a generic framework to handle missing weak classifiers at testing stage in a boosted cascade. The main contribution is a probabilistic formulation of the cascade structure that considers the uncertainty introduced by missing weak classifiers. This new formulation involves two problems: (1) the approximation of posterior probabilities on each level and (2) the computation of threshold...

Efficient Boosted Weak Classifiers for Object Detection

This paper accelerates boosted nonlinear weak classifiers in boosting framework for object detection. Although conventional nonlinear classifiers are usually more powerful than linear ones, few existing methods integrate them into boosting framework as weak classifiers owing to the highly computational cost. To address this problem, this paper proposes a novel nonlinear weak classifier named Pa...

Improved QR Code Localization Using Boosted Cascade of Weak Classifiers

Usage of computer-readable visual codes became common in our everyday life at industrial environments and private use. The reading process of visual codes consists of two tasks: localization and data decoding. Unsupervised localization is desirable at industrial setups and for visually impaired people. This paper examines localization efficiency of cascade classifiers using Haarlike features, L...

QR Code Localization Using Boosted Cascade of Weak Classifiers

Mixtures of boosted classifiers for frontal face detection

This paper describes a new approach to automatic frontal face detection which employs Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current state-of-the-art systems, while remaining fast enough for being used in real–time systems. It is based on the combination of several paralle...