Face detection has been one of the most studied topics in the computer vision literature. In
this technical report, we survey the recent advances in face detection for the past decade …

Face detection is one of the most studied topics in computer vision literature, not only
because of the challenging nature of face as an object, but also due to the countless …

This paper presents a novel learning framework for training boosting cascade based object
detector from large scale dataset. The framework is derived from the wellknown Viola-Jones …

We present a novel boosting cascade based face detection framework using SURF features.
The framework is derived from the well-known Viola-Jones (VJ) framework but distinguished …

We have proposed a complete system for text detection and localization in gray scale scene
images. A boosting framework integrating feature and weak classifier selection based on …

This paper proposes a PSOAdaBoost algorithm incorporating particle swarm optimization
within an AdaBoost framework for face detection applications. The basic component of an …

This thesis proposes a robust Automatic Face Verification (AFV) system using Local Binary
Patterns (LBP). AFV is mainly composed of two modules: Face Detection (FD) and Face …

Flexible, reconfigurable vision systems can provide an extremely rich sensing modality for
sophisticated multiple robot platforms. We propose a cooperative and adaptive approach of …

Recently, P. Viola and MJ Jones (2001) presented a method for real-time object detection in
images using a boosted cascade of simple features. In This work we show how an …

Face-detection methods based on cascade architecture have demonstrated a fast and
robust performance. In most of these methods, each node of the cascade employs the …