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 …
AS Georghiades, PN Belhumeur… - IEEE transactions on …, 2001 - ieeexplore.ieee.org
We present a generative appearance-based method for recognizing human faces under variation in lighting and viewpoint. Our method exploits the fact that the set of images of an …
Various factors, such as identities, views (poses), and illuminations, are coupled in face images. Disentangling the identity and view representations is a major challenge in face …
The task of face recognition has been actively researched in recent years. This paper provides an up-to-date review of major human face recognition research. We first present an …
H Byun, SW Lee - International workshop on support vector machines, 2002 - Springer
In this paper, we present a comprehensive survey on applications of Support Vector Machines (SVMs) for pattern recognition. Since SVMs show good generalization …
Driver distraction and inattention are prominent causes of automotive collisions. To enable driver-assistance systems to address these problems, we require new sensing approaches …
M Osadchy, M Miller, Y Cun - Advances in neural …, 2004 - proceedings.neurips.cc
We describe a novel method for real-time, simultaneous multi-view face detection and facial pose estimation. The method employs a convolu-tional network to map face images to points …
B Wu, H Ai, C Huang, S Lao - Sixth IEEE International …, 2004 - ieeexplore.ieee.org
In this paper, we propose a rotation invariant multi-view face detection method based on Real Adaboost algorithm. Human faces are divided into several categories according to the …