Index exceeds matrix dimensions

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Ankit Singh 2016-5-6

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https://ww2.mathworks.cn/matlabcentral/answers/282964-index-exceeds-matrix-dimensions

关闭： MATLAB Answer Bot 2021-8-20

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clear all;
C = webcamlist;
if length(C)>2
    fprintf('All three WebCam is Working' );
else
    fprintf('Not All three WebCam is Working' );
end
load('webcamsSceneReconstruction.mat');
vid1 = videoinput('macvideo', 1);
vid2 = videoinput('macvideo', 2);
start([vid1 vid2]);
img1 = getsnapshot(vid1);
img2 = getsnapshot(vid2);
imwrite(img1,'sceneReconstructionLeft.jpg');
imwrite(img2,'sceneReconstructionRight.jpg');
I1 = imread('sceneReconstructionLeft.jpg');
I2 = imread('sceneReconstructionRight.jpg');
I1 = undistortImage(I1,stereoParams.CameraParameters1);
I2 = undistortImage(I2,stereoParams.CameraParameters2);
faceDetector = vision.CascadeObjectDetector;
face1 = step(faceDetector,I1);
face2 = step(faceDetector,I2);
center1 = face1(1:2) + face1(3:4)/2;
center2 = face2(1:2) + face2(3:4)/2;
point3d = triangulate(center1, center2, stereoParams);
distanceInMeters = norm(point3d)/1000;
distanceAsString = sprintf('%0.2f', distanceInMeters);
I1 = insertObjectAnnotation(I1,'rectangle',face1,distanceAsString,'FontSize',18);
I2 = insertObjectAnnotation(I2,'rectangle',face2, distanceAsString,'FontSize',18);
I1 = insertShape(I1,'FilledRectangle',face1);
I2 = insertShape(I2,'FilledRectangle',face2);
%imshowpair(I1, I2, 'montage');

Why [am] i getting this error in both center1 and center2 and any way to prevent this error i have to represent this to my external

回答（1 个）

Azzi Abdelmalek 2016-5-6

0
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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/282964-index-exceeds-matrix-dimensions#answer_221117

Check the sizes of the variables face1 and face2

@ahmed nasr: I thought "months nw" is the failing variable... You are working on some code for months now and it has still errors? As said already: Please open a new thread and post the relevant part of the code and some example inputs (e.g. created by rand).

Walter Roberson 2018-1-23

Cascade object detection relies on patterns that are not certain to be present even if there is s face in the input images, and there is no certainty that the input has a face at all. The code is wrong for not testing to be sure that a face was detected. The code is also wrong for the case where more than one face is detected.

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