Dual Fisheye Image Stitching Algorithm to 360 Degree Photos
Introduction
360-degree cameras provide utility by capturing all angles around the camera, or 360 degrees horizontally and 180 degrees vertically. This is different than the standard camera in your phone where the wide angle covers somewhere between 110 to 60 degrees, or a focal length of 10 to 25 mm [1]. There are many use cases to 360 degree cameras like virtual reality (VR) [2], generating digital twins for the purpose of cultural preservation [3], general photography, capturing events, and even virtual tours like Stanford’s [4]!
![](/psych221wiki/images/thumb/1/11/Stanford_tour_1.png/800px-Stanford_tour_1.png)
![](/psych221wiki/images/thumb/0/03/Stanford_tour_2.png/800px-Stanford_tour_2.png)
In Figure 1, you can see the Stanford virtual tour utilizing the 360 degree camera with the arrow symbol in the top left corner of the image. Additionally, they are utilizing editing features of the image to place notes to aid the tour. In Figure 2, you can confirm that the 360-degree video is indeed 360-degrees with the view of the man’s holding the camera’s head included in the tour.
Background
Methods