OpenCV and Processing 16

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This example continues from the last post to compute the optical flow between 2 greyscale images by using the calcOpticalFlowPyrLK() function in the Video module herunterladen. The new position of the pixels tracked will be delivered in a MatOfPoint2f object. By using the last and current position of the feature points, we can plot the path of the pixel movements windows 10 mail nachricht und bilder herunterladen. Furthermore, we can use such information for interactive or generative drawings, found in my artwork, Movement in Time.


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OpenCV and Processing 15

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The coming example will be the sparse optical flow. Before that, we first work on the 2D feature points tracking. The function goodFeaturesToTrack() belongs to the Imgproc module film for free. It takes in a greyscale image and identifies the feature points (corners) as a matrix of point, MatOfPoint. The sample code here uses the feature points to render a live graphics of the webcam image animierte bilder herunterladen.


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