Image stiching in OpenCV

Reference to http://ramsrigoutham.com/2012/11/22/panorama-image-stitching-in-opencv/

Main steps of the code:

1. Load two images;
2. Convert to gray scale;
3. Using SURF detector to find SURF descriptor in both images;
4. matching the SURF descriptor using FLANN Matcher;
5. Postprocessing matches to find good matches
6. Using RANSAC to estimate the Homography matrix using the matched SURF descriptors;
7. Warping the images based on the homography matrix

The image shows the definition of Homography which transforms 2d Planar point to the image plane. 

 The following image is shows the initial image and the matched SURF features of the two. Homography is derived from the left image to the right image.

Stiching image result.

Source Code

OpenCV: Surf Matching in Video Sequence

OpenCV: SURF Feature matching

1. Load two images
2. do SURF feature extraction
3. Using Flann matching to match the keypoints
4. Identify good matches
5. find the object in the scene image

OpenCV: SURF Feature extractor

Main steps:

1. Read Two Images
2. Resize to half of its size
3. Detectect Keypoints  using SURF
4. Calculate Feature Descriptor
5. Matching Descriptor using Brute Force Matcher

Original Image

 SURF Keypoints

SURF Matches

Camera Calibration tool box from Caltech

http://www.vision.caltech.edu/bouguetj/calib_doc/
This is a release of a Camera Calibration Toolbox for Matlab^® with a complete documentation. This document may also be used as a tutorial on camera calibration since it includes general information about calibration, references and related links.