Time-based Calibration: A Way to Ensure that Stitched Images are Captured Simultaneously

Abstract

With the rapid development of modern science and technology, people’s demand for such information as images and videos is also growing, and the requirements for image and video quality, clarity and view range are also increasing. Therefore, the construction of high-resolution, wide-view panoramic video has also gradually become a hot research topic. Video stitching technology is an increasingly popular research direction in the field of graphics, and the approach addresses the problem of a limited range of views due to a single device capture. Many researchers have proposed various algorithms for video stitching and achieved good stitching results, but the research on time synchronization calibration of different video sources is not yet well developed. This thesis proposes a multi-source video frames calibration technique based on external information sources for solving the problems of ghosting and cutting when stitching with different video sources. The proposed method calibrates the video stitching by introducing an information source and calculating the time difference of different devices. The error of the calibrated video stitching is less than 33 ms, which can guarantee the quality of the spliced video.