원문정보
초록
영어
A new facial feature position self-calibration method based on active computer vision is proposed in this paper to realize facial expression recognition. Compared with traditional method, the proposed method based on the extension focus thought only needs four linearly independent translational movements, one real rotational movement and one virtual rotational movement rather than the calibration reference object to realize the linear solutions orderly for internal reference matrix of camera, hand-eye relationship and feature point target depth. The experiment result shows that the proposed method is feasible and effective and the measurement errors of two-dimensional and three-dimensional feature points can be below 0.40mm, thus able to meet the industrial accuracy requirements.
목차
1. Introduction
2. Calibration Principle
2.1. Internal Reference Matrix of Camera
2.2. Coordinate Relationship Transforamtion
2.3. Extebsuib Focus
3. Calibration of Hand-Eye Relationship Rotation Matrix
4. Calibration of Internal Parameter Matrix of Camera
5. Calibration of Feature Point target Depth
6. Calibration of Facial Feature Relationship Translation Vector
7. Simulation Experiment
7.1. Simulation Environment and Data Source
7.2. Result and Analysis
References