Research On Panoramic Image Mosaic Technology Based On Feature Point Matching

In recent years,with the rapid development of communication technologies,computer technologies,and digital media technologies,a series of new methods,new technologies,and new methods have emerged to support education and teaching processes and improve the performance of teaching activities.For example,campus roaming systems,digital museums,VR education and training,these systems have broken through the traditional teaching model,expanded the traditional teaching content,and innovated traditional teaching methods.The virtual reality and augmented reality teaching system uses a computer to construct a virtual environment that is very realistic with the real environment,and supports users to experience the real scene in a more natural way and accomplish the task of learning through visual and other multi-channel means.In these teaching system applications,large-angle seamless panoramic images are often used.Under normal circumstances,limited to the existing shooting conditions,in the process of establishing these high-angle panoramic images often need to use an ordinary camera to capture in real life shooting,and then through the mosaic of multiple images to form a panoramic image.At present,although there are related puzzle softwares that can stitch multiple images to form large-angle panoramic images,there are still two shortcomings:First,the existing puzzle software must use manual methods to import multiple images,and a large amount of manual intervention is required during the splicing process,which is bound to impose higher requirements on operators and increase the cost of constructing panoramic images.Secondly,the existing software with puzzle functions is mostly finished software.The software vendor has not published the source code of its internal algorithm,so it is difficult to meet the user's need for parameter adjustment in the image splicing process,nor does it satisfy the depth of the researcher.Teaching application system development needs.In order to solve the above two problems,the paper aims at the actual needs of the teaching application system and educational media technology research,researches and develops a plurality of image splicing technologies that can be adjusted according to different demand parameters.The image splicing technology has the following two advantages:First of all,it can import multiple images at one time and can intelligently match and splicing images quickly.The splicing process is done automatically,which improves work efficiency.Secondly,the person's implementation can change the splicing parameters,adjust the accuracy and quantity requirements of the spliced image,adjust the number of extracted feature points,and ultimately control the splicing effect of the image.Thirdly,through the program development work,we completely mastered the splicing technology of large-angle panoramic images,digested and absorbed several related algorithmic techniques,and solved the relationship of coordination and cooperation among several algorithms;The developed source code program provides effective support for further education and teaching applications and educational technology research and development.The main work of this paper is to study the related literature,study the algorithm,design the data structure and algorithm flow,use C language and OpenCV to write the code,and debug successfully,and realize the mosaic of panoramic images of multiple images.We have now fully mastered the technology of image splicing.The innovation of this article is:1)My technical implementation can change the image stitching parameters as needed,control the number of input images,the coincidence degree between images,and control the stitching effect of images by adjusting the number of extracted feature points.2)Fully mastered the splicing technology of large-angle panoramic images,digested and absorbed several related algorithm technologies,and solved the relationship of coordination and cooperation among several algorithms.3)The developed source code program provides effective support for further education and teaching applications and educational technology research and development.