Description

Image Stitching using Matlab-Image Processing Project

Feature detection and matching are powerful techniques used in many computer vision applications such as image registration, tracking, and object detection. In this example, feature based techniques are used to automatically stitch together a set of images. The procedure for image stitching is an extension of feature based image registration. Instead of registering a single pair of images, multiple image pairs are successively registered relative to each other to form a panorama.

How it Works

1. Detecting keypoints (DoG, Harris, etc.) and extracting local invariant descriptors (SIFT, SURF, etc.) from two input images
2. Matching the descriptors between the images
3. Using the RANSAC algorithm to estimate a homography matrix using our matched feature vectors
4. Applying a warping transformation using the homography matrix obtained from Step #3