Human face detection plays an important role in many applications such as face recognition , human computer interface, biometrics, area of energy conservation, video surveillance and face image database management. The selection of accurate color model is the first need of the face detection. In this paper, a study on the various color models for face detection i.e. RGB, YCbCr, HSV and CIELAB a...

the problem of eye detection in face images is very important for a large number of applications ranging from face recognition to gaze tracking. in this paper we propose a new algorithm for eyes detection. first, the face region is extracted from the image by skin-color information. second, horizontal projection in image is used to approximate region of the eye be obtained . at last, the eye ce...

Segmentation based on color, instead of intensity only, provides an easier distinction between materials, on the condition that robustness against irrelevant parameters is achieved, such as illumination source, shadows, geometry and camera sensitivities. Modeling the physical process of the image formation provides insight into the effect of different parameters on object color. In this paper, ...

This paper presents an eye detection technique basedon color and shape features. The approach consists of three steps: a rough eye localization using projection technique, a white color thresholding to extract white sclera, and an ellipse fitting to fit the ellipse shape of eye. The proposed white color thresholding utilizes the normalized RGB chromaticty diagram, where white color objects are ...

Advanced Driver Assistance Systems are used to increase the security of vehicles. Computer Vision is one of the main technologies used for this aim. Lane marks recognition, pedestrian detection, driver drowsiness or road sign detection and recognition are examples of these systems. The last one is the goal of this paper. A system that can detect and recognize road signs based on color and shape...

Color is a crucial feature for object detection and recognition. This is why the human visual system constantly attempts to keep variations in perceived object colors to a minimum. It seems, however, that color categorization is more dynamic and flexible. In the present paper, by reviewing recent research, we discuss the emergence and establishment of color categories in language as a result of...

This paper considers the intra-image color-space of an object or a scene when these are subject to a dominant single-source of variation. The source of variation can be intrinsic or extrinsic (i.e., imaging conditions) to the object. We observe that the quantized colors for such objects typically lie on a planar subspace of RGB, and in some cases linear or polynomial curves on this plane are ef...

localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...