Image Stitching

1.Introduction

It's a common project in computer vision course, you can find it in stanford, washington and brown. I borrow skeleton code from washington cse576.

This project include three main parts:

• detect interest points
• match interst points
• RANSAC refine matches
• stitch two image together

What I did in this project:

• implement sift detector and sift descriptor(this is crazy part, lots detail)
• use SSD matching points
• RANSAC to refine mathes, iterate 500 times
• computer homography then stich two iamge together
• use dynamic programming to find optimum seam, blend along this seam.

Platform: Qt5 vs2013 c++11

2.Result

Interest Points(can't show scale and orientation)

Match left

Match right

Stitched

3.Issue

• It take a lot time to build dog pyramid, I known there is a fast way to instead one big gauss kernel with two seperate samll gauss kernel. But, unsucess, don't why.
• In the matching part, some method such as knn can be used to reduce time, I didn't do that either.
• Finally my sift detector doesn't work with big rotation, many reason could cause this.

Hoping somebody could join me to improve this useful project!!