CS 194-26 - (Auto)stitching and Photo Mosaics Part B
I first began the project by taking various images of the same scene at different angles. Here is an example…
Detecting Corner Features in an Image
I then used the given get_harris_corners function to find all the harris corners on the images and plotted them on the image. Originally, there were too many harris corners so to reduce this number, I applied the Adaptive Non-Maximal Suppression to reduce the number of corners.
We further reduced the number of harris corners by choosing a select number of harris corners to act as feature descriptors that are present in both images. After this we get something like this.
Using RANSAC to Compute a Homography & Creating Mosaic
Outdoor 1
Outdoor 2
Mosaic of outdoor 1 and outdoor 2
Closet 1
Closet 2
Mosaic of closet 1 and closet 2
Bathroom 1
Bathroom 2
Mosaic of bathroom 1 and bathroom 2
What I learned from this project
From this project, I learned how much we can do without training models. Before, I believed that techniques like stitching 2 images together would require extensive amount of data to train a model that would stitch these photos together. However, after this project, I realized that it is rather simple with the use of feature points to create homographies. I realized how powerful feature points are and how not everything with image processing requires machine learning.
CS 194-26 - (Auto)stitching and Photo Mosaics Part B
I first began the project by taking various images of the same scene at different angles. Here is an example…
Detecting Corner Features in an Image
I then used the given
get_harris_cornersfunction to find all the harris corners on the images and plotted them on the image. Originally, there were too many harris corners so to reduce this number, I applied the Adaptive Non-Maximal Suppression to reduce the number of corners.We further reduced the number of harris corners by choosing a select number of harris corners to act as feature descriptors that are present in both images. After this we get something like this.
Using RANSAC to Compute a Homography & Creating Mosaic
What I learned from this project
From this project, I learned how much we can do without training models. Before, I believed that techniques like stitching 2 images together would require extensive amount of data to train a model that would stitch these photos together. However, after this project, I realized that it is rather simple with the use of feature points to create homographies. I realized how powerful feature points are and how not everything with image processing requires machine learning.