xiayude / matlab-imagestitching

Combines multiple images with overlapping areas thus creating a panorama - Computer vision course project

Matlab-ImageStitching

This is a project I did in my junior year for a computer vision class.

Running: call the stitch function with the two images you want stiched. Eg: stitch('Samples/monkeys1.png', 'Samples/monkeys2.png')

Approach:

• The local features of the two images are detected and described with the SIFT algorithm ( http://en.wikipedia.org/wiki/Scale-invariant_feature_transform )
• The two sets of SIFT featurs are then analyzed for similar datapoints which are likely to refer to the same image feature
• If insufficient matching points have been found, then we quit as there isn't enough overlapping area to stitch the images
• Otherwise, the RANSAC toolbox is used to apply a homographic transformation to one of the images such that the two images can be superimposed, and the resulting panorama view is outputed.

Samples:

• The Samples folder shows several starting images and their stitched result.
• Circles represent the features we matched on from the first image and crosses represent the corresponding features from the second image.
• The quality of the match can be visually inspected by the amount of crosses which ended up on top of their circle.
• Notice how in the case of the airView image very few matches are detected but the information is still sufficient to generate a good stitching. This shows that quality of matching points if significantly more important than quantity.