Multiview face detection is a challenging problem due to dramatic appearance changes
under various pose, illumination and expression conditions. In this paper, we present a multi …

In this paper, we study face hallucination, or synthesizing a high-resolution face image from
an input low-resolution image, with the help of a large collection of other high-resolution face …

In this paper, we propose an effective approach to the nearly untouched problem, still
photograph auto cropping, which is one of the important features to automatically enhance …

Automatic annotation of photographs is one of the most desirable needs in family
photograph management systems. In this paper, we present a learning framework to …

Advancement in computer technology has made possible to evoke new video processing
applications in field of biometric face detection and recognition. It has wide range of …

A method for training a system for detecting multi-class objects in an image or a video
sequence is described. A common ensemble of weak classifiers for a set of object classes is …

In this paper, we propose a novel method, called" dynamic cascade", for training an efficient
face detector on massive data sets. There are three key contributions. The first is a new …

Multi-view face detection plays an important role in many applications. This paper presents a
statistical learning method to extract features and construct classifiers for multi-view face …

This paper proposes a hybrid-boost learning algorithm for multi-pose face detection and
facial expression recognition. To speed-up the detection process, the system searches the …

A method of digitally adding the appearance of makeup to a videoconferencing participant.
The system and method for applying digital make-up operates in a loop processing …