Sometimes a small-world panorama is quite stunning. For comparison, a regular panorama is shown below.

Spent about half an hour to do experiments and finally get a program to convert to regular panorama to small-world style.

The key is coordinate system transform, from rectangular to polar. This is pretty intuitive to derive. For a point \((\psi, r)\) in the target image, its correspondence in the original panorama is \((\psi w / (2\pi), h - ry / r_0)\), where h, w is the height and width of the original image, and \(r_0\) is the expected radius of the output.

Note we may need a nonlinear mapping for the radius to make the panorama more balanced. Here I choose the function \(r_0^{-\epsilon} r^\epsilon\), where \(\epsilon\) is a parameter to be tuned, controlling the "height" of the camera from the ground. You can see the difference between the two images above.

Another style of small-world panorama is also easy to derive and implement as the following photo.

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