In this part of the project, I took photos of parts of a mosaic, hoping to find common elements to stitch together to make a composite image.
Example Pictures
In this part I tried to recover the homography between the images to create a warp between the images. I used the python ginput library to select points, and then created a sysem of linear equations to find the homography.
Once the homography was found, I could reverse warp all of the points in the old image to a point in the new image, making them into a new shape.
To recify the image, I tried to create an image that was front facing. For this image, I rectified it based on the bottom square of the wall. This made the wall frontal facing
| Before Rectification | After Rectification |
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For this last part, I took the stretched image, found the corresponding points in the second image, and then created a merged image. Unfortunately, after the first image, this failed, so I couldnt get to 3 images.
| Success | Fail |
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I thought that this was really cool, I really enjoyed learning about image mosaicing, and think that it is a really cool way to combine images!