In earlier post : Panoramic Picture Creation , we illustrated a simple method of panoramic picture creation using sum of absolute differences, with assumption of no zooming, rotational variation in 2 images.
In this post, we will show a sneak preview on what new version of IPCV going to be release could help in this in a better way.
Utilizing the Stitching class of OpenCV, IPCV could perform image stitching much easier and better.
Image Stitching for 6 Images
In order to enable the stitching of multiple images, the stitching function allows the user to create an image list as the input.
S = list(); S(1) = imread('1.jpg'); S(2) = imread('2.jpg'); S(3) = imread('3.jpg'); S(4) = imread('4.jpg'); S(5) = imread('5.jpg'); S(6) = imread('6.jpg'); St = imstitchimage(S); imshow(St);
The function allows more input parameters, which allow the user to tune and get better result for the images stitching.
Scilab IPCV v 1.2 would be released as soon as the atoms portal login is back and running.