Abstract: An image processing method includes the steps of: extracting a first two-dimensional feature point from a two-dimensional face image; on the basis of a geometric model of a standard face, deriving a three-dimensional feature point set including a first three-dimensional feature point corresponding to the first two-dimensional feature point; generating a three-dimensional face model including the three-dimensional feature point set; estimating an input pose of the two-dimensional face image to determine whether to update the three-dimensional feature point set; updating the three-dimensional feature point set by relocating the first three-dimensional feature point according to the first two-dimensional feature point, on the basis of the determination on whether to update the three-dimensional feature point set; and projecting the three-dimensional face model onto the two-dimensional face image.

Abstract: A virtual reality interface method for providing fusion with a real space according to the present disclosure includes the steps of: analyzing information on an object of the real space to be projected in a virtual space based on image information of the real space acquired from a camera; determining transparency information for the object of the real space based on the object information of the real space; and fusing an object image of the real space and a virtual space based on the transparency information.

Abstract: A method for implementing a virtual reality (VR) interface based on a single camera. The method includes obtaining pointer coordinates based on an image obtained by a single camera attached to a VR device, converting the pointer coordinates into virtual pointer coordinates based on a distance factor between the single camera and the VR device and a user factor including an input range of a real space derived according to a body characteristic of a user, and displaying the converted virtual pointer coordinates on the VR device.

Abstract: A method for analyzing a three-dimensional (3D) information of an image based on a single camera according to an embodiment of the present disclosure is provided to. The method includes storing an image obtained by the single camera on a frame-by-frame basis, determining a plurality of feature points configuring a hand shape included in the stored image and extracting a region of interest (ROI) based on the feature points, tracking a change in a two-dimensional (2D) length component configured with feature points of the ROI during a predetermined time interval, analyzing a change in 3D coordinates of the feature points based on the change in the 2D length component and deriving a motion vector of the feature points during the predetermined time interval based on the analysis, and determining an operation indicated by a hand shape based on the derived motion vector.