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 …

Human memory is unquestionably a vital cognitive ability but one that can often be
unreliable. External memory aids such as diaries, photos, alarms and calendars are often …

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 …

In this paper, we present a novel face detection approach based on a convolutional neural
architecture, designed to robustly detect highly variable face patterns, rotated up to/spl …

This paper presents a novel Gabor-based kernel principal component analysis (PCA)
method by integrating the Gabor wavelet representation of face images and the kernel PCA …

In this paper, we present a novel face detection approach using improved local binary
patterns (ILBP) as facial representation. ILBP feature is an improvement of LBP feature that …

A novel learning procedure, called FloatBoost, is proposed for learning a boosted classifier
for achieving the minimum error rate. FloatBoost learning uses a backtrack mechanism after …

We introduce a novel discriminative feature space which is efficient not only for face
detection but also for recognition. The face representation is based on local binary patterns …

This paper describes the designing and testing process of a vision system for strongly
reflected metal's surface defects detection. In the authors' view, an automatic inspection …

This paper presents a novel pattern recognition framework by capitalizing on dimensionality
increasing techniques. In particular, the framework integrates Gabor image representation, a …