An eye tracking method, adapted to a head-mounted display, HMD, with a first camera (C 1) and a second camera (C 2), comprising: capturing, by the first camera (C 1), a first eye image of a first eye of a wearer of the HMD; capturing, by the second camera (C 2), a second eye image of the first eye of the wearer; constructing a first eye model of the first eye based on the first eye image and the second eye image; capturing, by the first camera (C 1), a first specific eye image of the first eye of the wearer; obtaining a plurality of first specific eye landmarks in the first specific eye image; and identifying a first eye pose of the first eye of the wearer based on the first eye model and the first specific eye landmarks; wherein the step of constructing the first eye model of the first eye based on the first eye image and the second eye image comprises: inputting the first eye image to a 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a first tensor in response to the first eye image, and the first tensor indicates a 2D position of each of a plurality of first landmarks in the first eye image; inputting the second eye image to the 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a second tensor in response to the second eye image, the second tensor indicates a 2D position of each of a plurality of second landmarks in the second eye image, wherein the second landmarks one-to-one correspond to the first landmarks; and obtaining a 3D position of each of a plurality of first eye landmarks of the first eye of the wearer based on the first landmarks, the second landmarks, and a plurality of camera geometry parameters of the first camera (C 1) and the second camera (C 2), and accordingly constructing the first eye model of the first eye; wherein the first eye image and the second eye image are captured before the wearer wears the HMD; and wherein the first specific eye image is captured after the wearer wears the HMD. capturing, by the first camera (C 1), a first eye image of a first eye of a wearer of the HMD; capturing, by the second camera (C 2), a second eye image of the first eye of the wearer; constructing a first eye model of the first eye based on the first eye image and the second eye image; capturing, by the first camera (C 1), a first specific eye image of the first eye of the wearer; obtaining a plurality of first specific eye landmarks in the first specific eye image; and identifying a first eye pose of the first eye of the wearer based on the first eye model and the first specific eye landmarks; wherein the step of constructing the first eye model of the first eye based on the first eye image and the second eye image comprises: inputting the first eye image to a 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a first tensor in response to the first eye image, and the first tensor indicates a 2D position of each of a plurality of first landmarks in the first eye image; inputting the second eye image to the 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a second tensor in response to the second eye image, the second tensor indicates a 2D position of each of a plurality of second landmarks in the second eye image, wherein the second landmarks one-to-one correspond to the first landmarks; and obtaining a 3D position of each of a plurality of first eye landmarks of the first eye of the wearer based on the first landmarks, the second landmarks, and a plurality of camera geometry parameters of the first camera (C 1) and the second camera (C 2), and accordingly constructing the first eye model of the first eye; inputting the first eye image to a 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a first tensor in response to the first eye image, and the first tensor indicates a 2D position of each of a plurality of first landmarks in the first eye image; inputting the second eye image to the 2D eye landmark detection model, wherein the 2D eye landmark detection model outputs a second tensor in response to the second eye image, the second tensor indicates a 2D position of each of a plurality of second landmarks in the second eye image, wherein the second landmarks one-to-one correspond to the first landmarks; and obtaining a 3D position of each of a plurality of first eye landmarks of the first eye of the wearer based on the first landmarks, the second landmarks, and a plurality of camera geometry parameters of the first camera (C 1) and the second camera (C 2), and accordingly constructing the first eye model of the first eye; wherein the first eye image and the second eye image are captured before the wearer wears the HMD; and wherein the first specific eye image is captured after the wearer wears the HMD.