Method for the generation of a head and virtual denture of a patient, said method comprising: - data preparation, which in turn is comprised of: ∘ generation of a 3D virtual model of the head, obtained from images of a patient under study, ∘ generation of a 3D virtual denture model of the patient's denture, obtained from data of the patient's teeth morphology, ∘ determining the position of the 3D virtual denture model with respect to the virtual model of the head, ∘ fusion and anchoring of the 3D virtual denture model inside the virtual model of the head in a neutral state, ∘ training an artificial neural network on a database of 2D images of people performing different facial gestures and its corresponding 3D model with denture included in its corresponding position, learning the artificial network to estimate a movement of the 3D virtual denture model with respect to the virtual model of the head, - integration of the movement of the virtual models (2, 4), which in turn is comprised of: ∘ animation of the virtual model of the head from 2D images of the patient, resulting in an animated 3D model of the patient's head, ∘ independently positioning the 3D virtual denture model inside the animated 3D model, by applying an amount of movement to the 3D virtual denture model estimated from 2D images of the patient by using the artificial neural network trained during the data preparation, and ∘ fusion of the 3D virtual denture model with the animated 3D model, resulting in a fully animated 3D model consisting of the patient's head and denture. - data preparation, which in turn is comprised of: ∘ generation of a 3D virtual model of the head, obtained from images of a patient under study, ∘ generation of a 3D virtual denture model of the patient's denture, obtained from data of the patient's teeth morphology, ∘ determining the position of the 3D virtual denture model with respect to the virtual model of the head, ∘ fusion and anchoring of the 3D virtual denture model inside the virtual model of the head in a neutral state, ∘ training an artificial neural network on a database of 2D images of people performing different facial gestures and its corresponding 3D model with denture included in its corresponding position, learning the artificial network to estimate a movement of the 3D virtual denture model with respect to the virtual model of the head, ∘ generation of a 3D virtual model of the head, obtained from images of a patient under study, ∘ generation of a 3D virtual denture model of the patient's denture, obtained from data of the patient's teeth morphology, ∘ determining the position of the 3D virtual denture model with respect to the virtual model of the head, ∘ fusion and anchoring of the 3D virtual denture model inside the virtual model of the head in a neutral state, ∘ training an artificial neural network on a database of 2D images of people performing different facial gestures and its corresponding 3D model with denture included in its corresponding position, learning the artificial network to estimate a movement of the 3D virtual denture model with respect to the virtual model of the head, - integration of the movement of the virtual models (2, 4), which in turn is comprised of: ∘ animation of the virtual model of the head from 2D images of the patient, resulting in an animated 3D model of the patient's head, ∘ independently positioning the 3D virtual denture model inside the animated 3D model, by applying an amount of movement to the 3D virtual denture model estimated from 2D images of the patient by using the artificial neural network trained during the data preparation, and ∘ fusion of the 3D virtual denture model with the animated 3D model, resulting in a fully animated 3D model consisting of the patient's head and denture. ∘ animation of the virtual model of the head from 2D images of the patient, resulting in an animated 3D model of the patient's head, ∘ independently positioning the 3D virtual denture model inside the animated 3D model, by applying an amount of movement to the 3D virtual denture model estimated from 2D images of the patient by using the artificial neural network trained during the data preparation, and ∘ fusion of the 3D virtual denture model with the animated 3D model, resulting in a fully animated 3D model consisting of the patient's head and denture.