The invention belongs to the field of three-dimensional
staring point recognition and
computer vision, and particularly discloses a
pose recognition method, device and
system for an object of interestto human eyes. The method comprises the steps of utilizing a
left eye camera and a right eye camera to recognize the centers of the left and right pupils of a user respectively so as to extract the information of the human eyes; mapping the identified left and
right pupil centers into a foreground left camera to obtain the two-dimensional
staring points; extracting an object anchor frame in the foreground left camera by utilizing a target identification and tracking
algorithm, and then determining an object of interest of the user according to the position relation between the two-dimensionalstaring point and the object anchor frame; performing three-dimensional reconstruction and attitude
estimation on the object of interest of the user to obtain a
pose of the object of interest in theforeground left camera; and converting the
pose of the object of interest in the foreground left camera into a world coordinate
system so as to determine the pose of the object of interest of the user. The method, device and
system can identify the object of interest of the user and estimate the pose of the object, and has the advantages of high identification accuracy, high pose
estimation precision and the like.