1. A method for determining the shape (S t ) of an object represented in a current image, a plurality of landmarks being associated with said object, the method comprising: training of a multivariate regression, said multivariate regression corresponding to at least one pose regressor (RP t ), said training being performed by using a dataset of training images and, wherein at least one parameter (P t ) representative of an estimation of a pose of the object in the image is obtained by using a dimensionality reduction technique applied to a plurality of landmarks associated with an object represented in each training image of said dataset of training images; determining a plurality of features (F t ) representative of said current image, said features being determined from at least a part of the plurality of landmarks, obtaining information representative of the shape (S t ) of the object by using said at least one parameter (P t ) representative of an estimation of the pose of the object in the current image, said at least one parameter being obtained by implementing the trained multivariate regression applied to at least a part of said features (F t ).