Skin color is an important visual cue for computer vision systems involving human users. In this paper we combine skin color and optical flow for detection and tracking of skin regions. We apply these techniques to gesture recognition with encouraging results. We propose a novel skin similarity measure. For grouping detected skin regions we propose a novel skin region grouping mechanism. The pr...

A method for detecting human faces in color images is described that first separates skin regions from nonskin regions and then locates faces within skin regions. A chroma chart is prepared via a training process that contains the likelihoods of different colors representing the skin. Using the chroma chart, a color image is transformed into a gray scale image in such a way that the gray value ...

While human skin is relatively easy to detect in controlled environments, detection in uncontrolled settings such as in consumer digital photographs is generally hard. Algorithms need to robustly deal with variations in lighting, color resolution, and imaging noise. This paper proposes a simple generative skin patch model combining shape and color information. The model is parametric and repres...

A method for ne skin and face detection is described that starts from a coarse color segmentation. Some regions represent parts of human skin and are selected by minimizing an error between the color distribution of each region and the output of a compression decompression neural network, which learns skin color distribution for several populations of di erent ethnicity. This ANN is used to nd ...

A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermoscopy images. The approach extends previous research for utilizing a fuzzy set for skin lesion color for a specified class of skin lesions, using alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion disc...

Human skin color is a powerful fundamental cue that can be used in particular, at an early stage, for the important applications of face and hand detection in color images [l] [2], and ultimately, for meaningful human-computer interactions. In this paper, we analyze the distribution of human skin for a large number of chrominance spaces and for skin images recorded with two different camera sys...

Skin colors are important for a broad range of imaging applications to assure quality and naturalness. We discuss the impact of various metadata on skin colors in images, i.e. how does the presence of a metadata attribute influence the expected skin color distribution for a given image. For this purpose we employ a statistical framework to automatically build color models from image datasets cr...

Although research on discrimination and health has progressed significantly, it has tended to focus on racial discrimination and US populations. This study explored different types of discrimination, their interactions and associations with common mental disorders among Brazilian university students, in Rio de Janeiro in 2010. Associations between discrimination and common mental disorders were...

Face detection is no more unbreakably correlated with face recognition. Instead it has been established as an important tool in the framework of many multimedia applications like indexing, scene classification and news summarization. Inspired of the work presented in [l], many face detection algorithms based on skin color characteristics have appeared in the literature. Most of them face genera...

PURPOSE OF THE STUDY The purpose was to investigate the differences in tooth shade value according to age, gender and skin color among a sample of the local population in Bengaluru, India. METHODOLOGY The study comprised 100 subjects belonging to both gender between the age groups of 16 years to 55 years. Tooth shade values of permanent maxillary left or right central incisors were recorded u...