Design And Implementation Of Calibration Algorithm For High Precision Infrared Positioning System

In 2015,the Ministry of Science and Technology convened the "National Expert Meeting on Precision Medical Strategy" and established the China Expert Group on Precision Medical Strategy.In March 2016,"Precision Medical Care" was incorporated into the National 13th Five-Year Plan.Today,Precision medicine has risen in China as a "National Strategy"The concept of "precision surgery" was proposed in 2006,and "precision surgery" is part of a precision medical strategy.Surgery as the main means of surgical treatment,the degree of refinement it requires more and more,the traditional way of relying on the experience and skills of doctors has gradually been unable to meet this trend.Computer-assisted surgery has become a development direction of future "precision surgery" treatment methods with its high reliability and high precision.Precision surgery is inseparable from high-precision three-dimensional positioning equipment.In such demand,research on non-invasive high-precision position measurement systems will be of great significance.The technical realization of high-precision positioning equipment belongs to the discipline of machine vision.Machine vision is a science that studies how to make a machine "see".Further,it refers to the use of cameras and computers instead of human eyes to identify,track,measure,etc.Machine vision,and further image processing,using computer processing to become more suitable for human eye observation or transmitted to the instrument detection image.One of the basic tasks of machine vision is to calculate the geometric information of the objects in the three-dimensional space based on the image information acquired by the camera,and thus to reconstruct and recognize the objects.The three-dimensional geometric position of a certain point on the surface of the space object and its corresponding point in the image The interrelationship is determined by the geometric model of the camera imaging.These geometric model parameters are the camera parameters and are divided into internal parameters and external parameters.Under most conditions,these parameters must be obtained through experiments and calculations.This process is called "camera calibration" or simply "calibration".The calibration process is the process of determining the geometric and optical parameters of the camera.The accuracy of the calibration directly affects the accuracy of machine vision.The main task of this paper is to design a high-precision calibration algorithm to ensure the positioning accuracy of the system according to the actual needs of the application of the system.The traditional Tsai two-step method is improved,and a flexible and efficient calibration method for constructing a virtual calibration reference is proposed.Experimental verification shows that the calibration method in this paper improves the calibration accuracy of the system.