I want to make panorama image but it is showing the error message Undefined function 'imageSet' for input arguments of type 'char'

Question

Undefined function 'imageSet' for input arguments of type 'char'.

Error in build (line 3) buildingScene = imageSet(buildingDir);

% Load images.
buildingDir = fullfile(toolboxdir('vision'), 'visiondata', 'building');
buildingScene = imageSet(buildingDir);
% Display images to be stitched
montage(buildingScene.ImageLocation)
% Read the first image from the image set.
I = read(buildingScene, 1);
% Initialize features for I(1)
grayImage = rgb2gray(I);
points = detectSURFFeatures(grayImage);
[features, points] = extractFeatures(grayImage, points);

% Initialize all the transforms to the identity matrix. Note that the
% projective transform is used here because the building images are fairly
% close to the camera. Had the scene been captured from a further distance,
% an affine transform would suffice.
tforms(buildingScene.Count) = projective2d(eye(3));

% Iterate over remaining image pairs
for n = 2:buildingScene.Count

    % Store points and features for I(n-1).
    pointsPrevious = points;
    featuresPrevious = features;

    % Read I(n).
    I = read(buildingScene, n);

    % Detect and extract SURF features for I(n).
    grayImage = rgb2gray(I);
    points = detectSURFFeatures(grayImage);
    [features, points] = extractFeatures(grayImage, points);

    % Find correspondences between I(n) and I(n-1).
    indexPairs = matchFeatures(features, featuresPrevious, 'Unique', true);

    matchedPoints = points(indexPairs(:,1), :);
    matchedPointsPrev = pointsPrevious(indexPairs(:,2), :);

    % Estimate the transformation between I(n) and I(n-1).
    tforms(n) = estimateGeometricTransform(matchedPoints, matchedPointsPrev,...
        'projective', 'Confidence', 99.9, 'MaxNumTrials', 2000);

    % Compute T(1) * ... * T(n-1) * T(n)
    tforms(n).T = tforms(n-1).T * tforms(n).T;
end
avgXLim = mean(xlim, 2);

[~, idx] = sort(avgXLim);

centerIdx = floor((numel(tforms)+1)/2);

centerImageIdx = idx(centerIdx);
Tinv = invert(tforms(centerImageIdx));

for i = 1:numel(tforms)
    tforms(i).T = Tinv.T * tforms(i).T;
end
for i = 1:numel(tforms)
    [xlim(i,:), ylim(i,:)] = outputLimits(tforms(i), [1 imageSize(2)], [1 imageSize(1)]);
end

% Find the minimum and maximum output limits
xMin = min([1; xlim(:)]);
xMax = max([imageSize(2); xlim(:)]);

yMin = min([1; ylim(:)]);
yMax = max([imageSize(1); ylim(:)]);

% Width and height of panorama.
width  = round(xMax - xMin);
height = round(yMax - yMin);

% Initialize the "empty" panorama.
panorama = zeros([height width 3], 'like', I);
Step 4 - Create the Panorama

Use imwarp to map images into the panorama and use vision.AlphaBlender to overlay the images together.

blender = vision.AlphaBlender('Operation', 'Binary mask', ...
    'MaskSource', 'Input port');

% Create a 2-D spatial reference object defining the size of the panorama.
xLimits = [xMin xMax];
yLimits = [yMin yMax];
panoramaView = imref2d([height width], xLimits, yLimits);

% Create the panorama.
for i = 1:buildingScene.Count

    I = read(buildingScene, i);

    % Transform I into the panorama.
    warpedImage = imwarp(I, tforms(i), 'OutputView', panoramaView);

    % Create an mask for the overlay operation.
    warpedMask = imwarp(ones(size(I(:,:,1))), tforms(i), 'OutputView', panoramaView);

    % Clean up edge artifacts in the mask and convert to a binary image.
    warpedMask = warpedMask >= 1;

    % Overlay the warpedImage onto the panorama.
    panorama = step(blender, panorama, warpedImage, warpedMask);
end

figure
imshow(panorama)

Answer 1

imageSet requires the Computer Vision Toolbox from MATLAB R2014b or higher. See the release notes from the Computer Vision Toolbox here: http://www.mathworks.com/help/vision/release-notes.html#R2014b

If you have R2014a or lower, imageSet does not come with your distribution. The only option you have is to upgrade your MATLAB distribution. Sorry if this isn't what you wanted to hear!