Abstract: Method for estimating eye-related geometric parameters of a user, comprising the steps of: a. retrieving one input image observation corresponding to an image of the eye; b. using a learning machine for computing a plurality of image segmentation maps, so as to classify each pixel into one eye region; c. generating through a set of geometric parameters an image geometric model of the user's eye; d. comparing the image geometric model with an image segmentation map; e. computing a model correspondence value indicating if said input image observation corresponds to the geometric model; f. repeating steps c. to e. if the value computed under step e. is below an optimal value wherein one parameter is changed for each iteration until said model correspondence value reaches the optimal value, and g. retrieving the eye-related geometric parameters from the latest model of the user's eye.

Abstract: The invention concerns a method for estimating a gaze at which a user is looking at. The method comprises a step of retrieving an input image and a reference image of an eye of the user and/or an individual. The method comprises then a step of processing the input image and the reference image so as to estimate a gaze difference between the gaze of the eye within the input image and the gaze of the eye within the reference image. The gaze of the user is the retrieved using the estimated gaze difference and the known gaze of the reference image. The invention also concerns a system for enabling this method.