[SOLVED] ComputerVision Lab 3-Automatic Panoramic Image Stitching

In this assignment, you need to finish the Automatic Panoramic Image Stitching process from scratch, excluding the first step. You also need to show the results of your own data in the report. Following is the steps:

1. Interest points detection & feature description by SIFT

   You can use OpenCV function in this part.

2. Feature matching by SIFT features

   You can try ratio distance(last lecture) in this part:

   It is also good for you to try different features, e.g. MSER The result of this part need to be shown like

You can have better visualization, for example more colorful:)

3. RANSAC to find homography matrix H
   You need a function:
   H = homomat(points_in_img1, points_in_img2)
   In this part you have to write a RANSAC algorithm to find out the best homography matrix between two images.

   *RANSAC hints:

   1. sample S correspondences from the feature matching results
   2. compute the homography matrix based on these sampled

      correspondences

   3. check the number of inliers/outliers by a threshold
   4. iterate for N times
   5. get the best homography matrix with smallest number of outliers
4. Warp image to create panoramic image

   You need to write a function warp(img1, img2, H) which warps one image onto the other using homography and provide examples.

   *Warp hints:

   In this part you are also encouraged to use a blending function to enhance the result.

 Important notice:

1. Everyone is supposed to upload their own zip file. You should

   follow the file name form: CV_HW3_GroupNumber_ID.zip (for

   example, CV_HW3_43_0210519.zip)

2. In zip file, it should contain your code and report. The report

   should be a pdf file and be written in English.

3. Please submit your homework before the deadline!!!