Skip to content

Implemented a system to combine a series of horizontally overlapping photographs into a single panoramic image by making use of RANSAC algorithm

Notifications You must be signed in to change notification settings

NamanMakkar/Autostitch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Open in Visual Studio Code

Project 3: Autostitch

Naman Makkar (nbm49)

Spherical Warp

We can observe the warped images below -

Campus 0 Warped
Yosemite 1 Warped

Align Images

The functionality of the Align Images can be oberved below -

Yosemite Aligned
Melbourne Aligned
Campus Aligned

Panorama

The functionality of Panorama can be observed below - Yosemite Panorama
Melbourne Panorama
Campus 360 degree Panorama
Campus without 360 degree Panorama

Artifact

Camera Used - iPhone-13, Focal Length = 5.1mm, CCD width = 9.69mm, Image Width = 4032 pixels. Therefore, the focal length in pixels is calculated as 4032*5.1/9.69 = 2122.1 pixels

Artifact

Extra Credit

Gaussian Blending was implemented in the file blend.py, the results of Gaussian Blending can be observed below -

Yosemite Panorama
Melbourne Panorama
Campus 360 degree Panorama
Campus Panorama without 360 degree

About

Implemented a system to combine a series of horizontally overlapping photographs into a single panoramic image by making use of RANSAC algorithm

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages