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Face detection is now a classical problem in detection, and it was addressed through several methods, including global comprehensive image scanning and structural approaches that focus on the facial structures. Face detection is considered in this paper based on combining both a statistical model of skin color and geometrical face characteristics. The system presented is organized in two parts. The...
Color tone detection accomplishes the modelization of a color cluster for a set of pixels that present a hue similar to a particular one, which is being detected. Image pixels can be classified according to their membership to the particular color class through such cluster modelization. Such approaches can be employed in different computer vision application fields. Nevertheless few proposals in...
With the recent advances in consumer electronics and the need for noninvasive biometric recognition systems, face recognition has become a viable option at least computationally. The aim of this paper is to present a complete face recognition system that works in real time, and is robust to illumination and expression for the most part. The system was developed to study the feasibility of employing...
This work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task...
This paper introduces an eye-verifier for reliable detection of eyes in facial color images. At first, the eye region candidates are searched by the circular filter to the binary face image. The eye candidates are then fed into an eye-verifier. The eye-verifier uses a ternary template, generated from the eye area consisting of iris, sclera and skin. Then the template matching is made by ternary Hamming...
In this paper, a new algorithm of face detection based on differential images and PCA in color image is proposed which modified the eigenface technique. First, skin picking-up is carried out by color analysis of an image. Then, for finding the exact positions of faces, a finer matching is performed by eigenface in these detected fields and a mosaic template is used to suppress the false face. Considering...
Skin colour modelling has been a popular research topic over the years due its possible practical applications. Varying skin tones makes modelling of skin colour as one of the most complex and challenging task. Accuracy and performance of skin detection and tracking highly depends on the skin model in use and the tracking method. In order to perform in real time, skin detection and tracking algorithm...
Extracting the positions of hands is an important step in human computer interaction and robot vision applications. Posture and gesture can be extracted from hand positions and the appropriate task can be performed. In this paper, we propose an approach to extract hand images using skin color and stereo information. Our method does not require clear hand-size or high-quality disparity. With a sound...
A novel two-stage scheme of pornographic image detection is proposed in this paper. Specifically, we first apply the content-based image retrieval technique to find out whether human are present in the images. Then a detailed skin color analysis is performed to affirm the presence of pornographic content in the images. Experimental results show that the proposed algorithm performs well and fast in...
Skin color is an important feature for face detection and recognition in color images. In order to obtain the possible face regions in color images, the skin color models are always constructed by statistical analysis. Owing to low accuracy of the static models, researches have discussed several dynamic models to correct input image such as illumination compensation, white balance, edge points addition,...
Quality measurement of face localization using neural networks is presented in this communication. First, neural network was trained with Zernike moments feature parameters vectors. Coordinate vectors of pixels surrounding faces in images were used as target vectors on the supervised training procedure. Thus, trained neural network provides on its output layer a coordinate's vector (p, Theta) representing...
In this paper, a secure face recognition system is presented, in which face detection is performed with skin color detection followed by light normalization and normalized cross correlation. Principal component analysis (PCA) is used for face verification. Due to the rising concern about the security and privacy of the biometric system, we offer a secure storage for user records by encrypting them...
Eye detection plays a central role in automatic face detection systems and it is also important for face recognition and face tracking. Working on the normalized RGB color space (NRGB), we initially use a combination of corner identification, color and edges as cues for localizing eyes. The eyes localization process is aided by its application on modeled skin patches based on our previous work (Chen...
We present the combination of an illumination invariant approach to face detection with skin color detection and the false positive suppression used for improving speed and accuracy of the system. First, the non-skin color pixels of the input image are removed based on the mixed skin color model in the YCbCr and RGB chrominance spaces, from which we extract candidate human face regions. Then, face...
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