—Locating the center of the eyes allows for valuable information to be captured and used in a wide range of applications. Accurate eye center location can be determined using commercial eye-gaze trackers, but additional constraints and expensive hardware make these existing solutions unattractive and impossible to be used on standard (i.e. visible wavelenght), low resolution images of eyes. Systems based solely on appearance are proposed in literature, but their accuracy does not allow to accurately locate and distinguish eye centers movements in these low resolution settings. Our aim is to bridge this gap by locating the center of the eye within the area of the pupil on low resolution images, taken from a webcam or a similar device. The proposed method makes use of isophote properties to gain invariance to linear lighting changes (contrast and brightness), to achieve in plane rotational invariance, and to keep low computational costs. To further gain scale invariance, the approach i...