With the marvelous increase in video and image database there is an incredible need of
automatic understanding and examination of information by the intelligent systems as …

Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

We present a novel approach to localizing parts in images of human faces. The approach
combines the output of local detectors with a nonparametric set of global models for the part …

Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

This paper presents a general, trainable system for object detection in unconstrained,
cluttered scenes. The system derives much of its power from a representation that describes …

In this paper we present a comprehensive and critical survey of face detection algorithms.
Face detection is a necessary first-step in face recognition systems, with the purpose of …

A good image object detection algorithm is accurate, fast, and does not require exact
locations of objects in a training set. We can create such an object detector by taking the …

We present a method to learn object class models from unlabeled and unsegmented
cluttered scenes for the purpose of visual object recognition. We focus on a particular type of …

Detecting and recognizing human faces automatically in digital images strongly enhance
content-based video indexing systems. In this paper, a novel scheme for human faces …

An algorithm for locating quasi-frontal views of human faces in cluttered scenes is
presented. The algorithm works by coupling a set of local feature detectors with a statistical …