Triangular Prism-based Omnidirectional Imaging System

Omnidirectional images have a significantly broader field of view (FOV) compared to standard cameras. Various methods have been used to achieve an omnidirectional view. Ideally, this can be achieved by merging multiple images taken by one or more cameras into a single merged image. An application example of this is an endoscope, which is used for visualizing the internal structures of the human body. However, despite the numerous techniques and methods available for achieving an integrated 360-degree view, there are limitations in processing this in real-time due to the number of cameras and data size. In this paper, we present a novel vision system tip design to reduce the processing time by using fewer cameras compared to the current methods in the literature.