PIXELBANKv8.2.1
Menu

Cylindrical Projection for Panoramas

Implement cylindrical projection for 360° panorama stitching, a crucial step in image alignment and stitching that enables the creation of seamless panoramic images. This process involves mapping image coordinates to a cylinder, allowing for efficient stitching of multiple images.

The cylindrical projection is a geometric transformation that maps 2D image coordinates to a cylindrical surface, which is essential for 360° panorama stitching. The projection equations are given by x=farctan(xcxf)x' = f \cdot \arctan(\frac{x - c_x}{f}) and y=fycy(xcx)2+f2y' = f \cdot \frac{y - c_y}{\sqrt{(x - c_x)^2 + f^2}}, where ff is the focal length and (cx,cy)(c_x, c_y) is the image center.

Here are the steps to achieve this projection:

  1. Define the input image coordinates (x,y)(x, y) and the focal length ff.
  2. Calculate the image center (cx,cy)(c_x, c_y).
  3. Apply the cylindrical projection equations to obtain the projected coordinates (x,y)(x', y').
x=farctan(xcxf)x' = f \cdot \arctan(\frac{x - c_x}{f}) y=fycy(xcx)2+f2y' = f \cdot \frac{y - c_y}{\sqrt{(x - c_x)^2 + f^2}}

This technique is widely used in virtual reality and computer vision applications.

Example:

Input:
image = 1000×1000 image
focal_length = 500
Output:
Cylindrically warped image (curved edges)
Reasoning:

Each pixel (x, y) maps to (x', y') on cylinder. Center pixels barely move, edges curve significantly. The projection removes perspective distortion.

Constraints:

  • image: Input image (H, W)
  • focal_length: Camera focal length in pixels
  • Return: Cylindrically projected image
Editor

Test Results

0/0
Run code to see test results.