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An efficient face detection scheme that can detect multiple faces in a color image with a complex environment and different illumination levels is proposed in this paper. The first stage adopts skin color-based segmentation to search potential face regions. The second stage detects the lip in potential face regions using a lip color model and searches the eyes using geometry textures. The last stage...
In recent years, the research on detecting human faces in color image and in video sequence has been attracted with more and more people, but automatic human face detection from images in surveillance and biométrie applications is still a challenging task due to the computation inaccuracies and the continuous nature of some transformations. In this paper we propose a novel face detection algorithms...
For sophisticated background, a fast and self-adaptive face detection algorithm based on skin color is introduced. In this algorithm, histogram skin color model was built with great amount of skin color pixels in HS color space first, and then skin color segmentation was made to images by using histogram backprojection, in which a binary image of skin color area was obtained after thresholding. Morphological...
Face detection is an important first step towards solving plethora of other computer vision problems. A fast robust face detection algorithm under a skin color model with geometry constraints is proposed in this paper. An ellipse color model in the YCbCr color space is first used to detect the skin regions. A light compensation algorithm is utilized to the original image, followed by a box model to...
Because skin color detection had high false detecting rate in color image with complex background and the AdaBoost face detection algorithm does not work well in multi-pose and multi-face images. In this paper, a new face detection algorithm is introduced combined the skin color segmentation and the AdaBoost algorithm. The simulated experiment results show that this algorithm mentioned in this paper,...
In this paper, a novel method is proposed for human face detection. It contains three parts: illumination compensation, skin color model and template matching. First, we remove the color offset, high light and shadows that exist in human face images, and Gaussian model in YCrCb skin color space is chosen.Then, the facial skin region is marked and segmented using an improved segmentation algorithm...
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