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In this paper an abstract template is constructed for extracting facial information from images. Different from the traditional template, which only includes color or gradient information in pixel level, abstract templates synthesizes texture, shape and scale information of the objects with relative parameters. This parameterized model can be used to describe the object to be recognized together with...
This paper presents the procedure of skin detection and segmentation which can find out arbitrarily tilted human faces in color images. Face segmentation is based on skin detection through the establishment of skin model. First, a method for compensating the color of the input images is used to alleviate the interferences from bad illuminating conditions; secondly, a skin model about skin information...
As everyone knows nature exists a lot of colors similar as skin color, such as sand, sand beach, soil, stone, cement road, wood, bole, filemot leaves, and so on. The above mentioned things are similar to skin color and exist largely in our images. So they bring many difficulties to detect human face color. And the problem hasnpsilat been solved completely. In this paper we present a circular fitting...
In order to detect more reliably skin color for color facial image with complicated background, we have presented a detection method based on uniting YCgCb color space with YCgCr color spaced. There exist many colors in nature that are similar to skin color, such as sand, sand beach, soil, stone, cement road, wood, and so on. The things mentioned above are similar to skin color and create many difficulties...
A new algorithm for face tracking is proposed. Color information provides an effective cue for face tracking due to its robustness to scaling, rotation and translation. But the main limitation of color cue is that it can be easily interrupted by the camouflage objects that have the same or similar color with the target face. In order to achieve robust face tracking performance, the texture feature...
This paper presents an efficient face segmentation approach based on face attention model and seeded region merging. A face attention model that jointly exploits the information of skin color and eyepsilas position is first constructed to obtain a facial saliency map, which indicates the position of possible faces and is used to determine seed regions. Then a seeded region merging algorithm based...
Specularities on the facial images have a great impact on the performance of face area segmentation, detection and recognition. In this paper, a novel automatic specularity detection and removal method is proposed. First potential specularities are detected using PI diagram which is constructed by the principal vector of image's RGB vectors and illumination intensity. Second the full areas are got...
Lip detection is used in many applications such as face detection and lips reading. We have proposed a novel approach for detecting lip using particle swarm optimization (PSO). PSO is used to obtain an optimized map. The image is mapped to Y CbCr color space. The main idea of the method is based on that lip has the high values of Cr and low values of Cb. The proposed algorithm has been examined on...
In recent years, facial expressions of pain have been the focus of considerable behavioral research. Such work has documented that pain expressions, like other affective facial expressions, play an important role in social communication. Enabling computer systems to recognize pain expression from facial images is a challenging research topic. In this paper, we present two systems for pain recognition...
This paper presents a robust face segmentation method dealing with the illumination problem effectively on color images. In color images, skin color is an important cue for face segmentation. Two sets of skin color data are acquired from Asian Database, i.e. normal conditioning skin pixels and illuminated skin pixels. Subsequently, both data are analyzed in YCbCr color space. As a result, proposed...
Hair is one of the most challenging facial features, playing important role in human appearance. This paper introduces novel approach to human hair extraction, based on integration of texture, shape and color features. This approach allows robust hair detection in complex background under various illumination and hairstyles. This study deals with color images and hair detection aims hair re-colorization...
Freckles and blemishes are one of important features of human appearance, which could be used for a variety of potential applications such as face recognition, malignant melanoma early diagnosis and concealing cream simulation. This paper introduces novel approach to skin freckles extraction, based on precise open skin detection using integration of texture, shape and color features. The proposed...
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