Upload
dangtruc
View
221
Download
3
Embed Size (px)
Citation preview
Computer Vision – Problem Set 3 Sunil Bandla – SB36982
Part 1: 1. UT Tower mosaic
2. Input images
Output mosaic
3. Input
Output mosaic
Part II: 2. Correspondence set with outlier highlighted in red
Homography was computed based on the above set of correspondences. The points in the second image were then transformed to points in the first image to check the accuracy of homography computed and below are the results. The final mosaic was also computed using the same homography.
This time, homography was computed using RANSAC algorithm. Below are the transformed points in the first image and the mosaic.
3. Input images
Rectified output
Input images
Rectified output
Sources:
Hospital corridor -
http://www.finishlinefloors.com/rejuvenate_Floor_Finish.php
Ghost - http://www.takoma.com/kids/2010/11/haunted-house-comes-
alive-on-a.html
Blackboard -
http://www.spalding.org/index.php?tname=professional%20developmen
t&p=SCTinstructions
Mirror - http://www.corbisimages.com/Enlargement/42-23010529.html
Rangoli - http://clintoncolbyvincent.blogspot.com/2011/03/theme-
based-rangoli-designs-for.html