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Index exceeds matrix dimensions

2 visualizaciones (últimos 30 días)
Ankit Singh
Ankit Singh el 6 de Mayo de 2016
Cerrada: MATLAB Answer Bot el 20 de Ag. de 2021
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

Respuestas (1)

Azzi Abdelmalek
Azzi Abdelmalek el 6 de Mayo de 2016
Check the sizes of the variables face1 and face2
  13 comentarios
Jan
Jan el 23 de En. de 2018
Editada: Jan el 23 de En. de 2018
@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
Walter Roberson el 23 de En. de 2018
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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