Camera Calibration Based On Two-dimensional Plane

With the rapid development of computer vision, computers and cameras havebecome important methods of obtaining the required information of the scene.Camera calibration is also taken more seriously by more and more people by reasonthat inside and outside parameters of the camera often decides correspondencebetween the3D scene and its two-dimensional corresponding image. By giveninternal parameters of the camera, this article puts forward a new camera calibrationbased on two-dimensional planeon the basis of camera calibration based ontwo-dimensional material calibration.First, we first need to solve the externalparameters of the cameraaccording to this algorithm. Second, we acquire the Eulerangles and translation vector based on the external parameters. Third, it laystheoretical foundation for the theoretical subsequent and experimental applications.This article includes the following aspects.1. It reveals the development ofthefield of computer visionandthecurrentcameracalibration,and then showsthe basic theoretical knowledgeofprojectivegeometryand cameracalibration.2.Three methods of camera calibration based on different calibration object areintroduced, which describes their solution procedure in details, and then summariestheir advantages, disadvantages and application.3. It reveals a new camera calibration based on two-dimensional plane on thebasis of previous methods of camera calculation which describes the complete processof solving the parameters of camera, and then makes the algorithm much more perfectby considering the condition of orthogonal constraints.4. It gives us a lot of valuable data by simulating the two algorithms onMATLAB, which include the simulation data in different positions. It provides a goodtheoretical basis for our actual experimental application. In addition, it compares theresults and time of two different algorithms.5. At last, it summaries the article and prospects the future of the method.