In this paper we describe a two step algorithm which localizes faces in 2D color images depicting a single face on a complex background. Given a single image, the algorithm roughly determines the skin regions and then searches for eyes within them. A face is localized if at least one eye is present in a skin region. The system is based on a Support Vector Machine trained to separate sub-images representing eyes from others. The algorithm is robust to scale, illumination, pose variations and deals with partial occlusions. Results on several public databases are presented
This paper presents a face localization and tracking algorithm which is based upon skin color detec...
Face detection plays an important role in many applications of face biometrics. With so much of digi...
The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image...
We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2...
In this paper we describe a face detection algorithm, the key idea being to determine roughly the sk...
In this paper, a hybrid algorithm for precise eyes localization in color facial region is presented ...
A practical algorithm for face detection is presented to locate multiple faces in a color scenery im...
In this paper, a method for localization and extraction of faces and characteristic facial features ...
We propose a model based approach for the problem of face localization. Traditionally, images are re...
In this paper we present a robust face location system based on human vision simulations to automati...
In this paper we present a way to regard the combined face detection and facial feature extraction p...
International audienceGeometric and skin face characteristics were used, in this paper, to localize ...
Human face and facial feature detection have attracted a lot of attention because of their wide appl...
A robust still image face localization algorithm capable of operating in an unconstrained visual env...
The accuracy of human face detection and localization in images and video is a crucial factor influe...
This paper presents a face localization and tracking algorithm which is based upon skin color detec...
Face detection plays an important role in many applications of face biometrics. With so much of digi...
The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image...
We describe a face detection algorithm, which characterizes and localizes skin regions and eyes in 2...
In this paper we describe a face detection algorithm, the key idea being to determine roughly the sk...
In this paper, a hybrid algorithm for precise eyes localization in color facial region is presented ...
A practical algorithm for face detection is presented to locate multiple faces in a color scenery im...
In this paper, a method for localization and extraction of faces and characteristic facial features ...
We propose a model based approach for the problem of face localization. Traditionally, images are re...
In this paper we present a robust face location system based on human vision simulations to automati...
In this paper we present a way to regard the combined face detection and facial feature extraction p...
International audienceGeometric and skin face characteristics were used, in this paper, to localize ...
Human face and facial feature detection have attracted a lot of attention because of their wide appl...
A robust still image face localization algorithm capable of operating in an unconstrained visual env...
The accuracy of human face detection and localization in images and video is a crucial factor influe...
This paper presents a face localization and tracking algorithm which is based upon skin color detec...
Face detection plays an important role in many applications of face biometrics. With so much of digi...
The objective of this thesis work, is to propose an algorithm to detect the faces in a digital image...