(1) You can use alternative detectors that are introduced before R2019a. For example, these detectors find corner features like ORB does.
(2) However, the feature type should not be the only criteria when you choose detectors. See the doc below for further explanation.
(3) Below is an example to compare the detection algorithms I mentioned earlier with ORB. (Note: This example is taken from detectORBFeatures documentation.)
%%
% Read an image into the workspace.
I = imread('businessCard.png');
%%
% Convert the image into a grayscale image.
I = im2gray(I);
%%
% Display the grayscale image.
figure
imshow(I)
%%
% Detect and store keypoints using ORB, FAST ,MinEigen, Harris detectors
pointsORB = detectORBFeatures(I); % Introduced in R2019a
pointsFAST = detectFASTFeatures(I); % Introduced in R2013a
pointsMinEigen = detectMinEigenFeatures(I); % Introduced in R2013a
pointsHarris = detectHarrisFeatures(I); % Introduced in R2013a
%%
figure
subplot(2,2,1)
imshow(I)
hold on
plot(pointsORB.selectStrongest(100),"ShowScale", false)
hold off;
title("ORB")
subplot(2,2,2)
imshow(I)
hold on
plot(pointsFAST.selectStrongest(100))
hold off;
title("FAST")
subplot(2,2,3)
imshow(I)
hold on
plot(pointsMinEigen.selectStrongest(100))
hold off;
title("MinEigen")
subplot(2,2,4)
imshow(I)
hold on
plot(pointsHarris.selectStrongest(100))
hold off;
title("Harris")
