การทำภาพ 3 มิติ และการสั่งงานด้วยเสียง

 

ภาพ3มิติ stereo

-ตัดแยกภาพก่อน

 

 

เพิ่มโค้ตก่อนค่อยรัน

I1 = rgb2gray(imread('left.jpg'));

I2 = rgb2gray(imread('right.jpg'));

imshowpair(I1, I2,'montage');

title('I1 (left); I2 (right)');

figure;

imshowpair(I1,I2,'ColorChannels','red-cyan');

title('Composite Image (Red - Left Image, Cyan - Right Image)');

blobs1 = detectSURFFeatures(I1, 'MetricThreshold', 2000);

blobs2 = detectSURFFeatures(I2, 'MetricThreshold', 2000);

figure;

imshow(I1);

hold on;

plot(selectStrongest(blobs1, 30));

title('Thirty strongest SURF features in I1');

figure;

imshow(I2);

hold on;

plot(selectStrongest(blobs2, 30));

title('Thirty strongest SURF features in I2');

[features1, validBlobs1] = extractFeatures(I1, blobs1);

[features2, validBlobs2] = extractFeatures(I2, blobs2);

indexPairs = matchFeatures(features1, features2, 'Metric', 'SAD', ...

  'MatchThreshold', 5);

matchedPoints1 = validBlobs1(indexPairs(:,1),:);

matchedPoints2 = validBlobs2(indexPairs(:,2),:);

figure;

showMatchedFeatures(I1, I2, matchedPoints1, matchedPoints2);

legend('Putatively matched points in I1', 'Putatively matched points in I2');

[fMatrix, epipolarInliers, status] = estimateFundamentalMatrix(...

  matchedPoints1, matchedPoints2, 'Method', 'RANSAC', ...

  'NumTrials', 10000, 'DistanceThreshold', 0.1, 'Confidence', 99.99);

if status ~= 0 || isEpipoleInImage(fMatrix, size(I1)) ...

  || isEpipoleInImage(fMatrix', size(I2))

  error(['Either not enough matching points were found or '...

         'the epipoles are inside the images. You may need to '...

         'inspect and improve the quality of detected features ',...

         'and/or improve the quality of your images.']);

end

inlierPoints1 = matchedPoints1(epipolarInliers, :);

inlierPoints2 = matchedPoints2(epipolarInliers, :);

figure;

showMatchedFeatures(I1, I2, inlierPoints1, inlierPoints2);

legend('Inlier points in I1', 'Inlier points in I2');

[t1, t2] = estimateUncalibratedRectification(fMatrix, ...

  inlierPoints1.Location, inlierPoints2.Location, size(I2));

tform1 = projective2d(t1);

tform2 = projective2d(t2);

I1Rect = imwarp(I1, tform1, 'OutputView', imref2d(size(I1)));

I2Rect = imwarp(I2, tform2, 'OutputView', imref2d(size(I2)));

% transform the points to visualize them together with the rectified images

pts1Rect = transformPointsForward(tform1, inlierPoints1.Location);

pts2Rect = transformPointsForward(tform2, inlierPoints2.Location);

figure;

showMatchedFeatures(I1Rect, I2Rect, pts1Rect, pts2Rect);

legend('Inlier points in rectified I1', 'Inlier points in rectified I2');

Irectified = cvexTransformImagePair(I1, tform1, I2, tform2);

figure;

imshow(Irectified);

title('Rectified Stereo Images (Red - Left Image, Cyan - Right Image)');

cvexRectifyImages('left.jpg', 'right.jpg');

 

 

-imread อ่านภาพ**

-เมื่อพิมเสดแล้วกด run (F5)จะได้ figure 9 figure > ใช้แว่น3มิติ ดู

 

 

Lab การสั่งการด้วยเสียง

 

 

ความถี่ของเสียง

คำสั่ง plot(myau);