光流法opencvppt課件(編輯修改稿)
2025-06-02 04:04 本頁(yè)面
【文章內(nèi)容簡(jiǎn)介】 h b o r h oyyxyxx I II I2222? A good feature has big eigenvalues, implies: ? Texture ? Corner Plan ? OpenCV Basics ? What is it? ? How do you get started with it? ? Feature Finding and Optical Flow ? A brief mathematical discussion. ? OpenCV Implementation of Optical Flow ? Step by step. So now let’s code it! ? Beauty of OpenCV: ? All of the Above = Two Function Calls ? Plus some support code :) ? Let’s step through the pieces. ? These slides provide the highlevel. ? Full implementation with extensive ments: ? ~dstavens/cs223b ? Three versions of the code: ? ? For Windows, full functionality. ? ? OpenCV for Linux missing some functions. ? ? For Mac OS X? Full functionality? ? Also for Linux if/when API plete. Step 1: Open Input Video CvCapture *input_video = cvCaptureFromFile(“”)。 ? Failure modes: ? The file doesn’t exist. ? The AVI uses a codec OpenCV can’t read. ? Codecs like MJPEG and Cinepak are good. ? DV, in particular, is bad. Step 2: Read AVI Properties CvSize frame_size。 = cvGetCaptureProperty( input_video, CV_CAP_PROP_FRAME_HEIGHT )。 ? Similar construction for getting the width and the number of frames. ? See the handout. Step 3: Create a Window cvNamedWindow(“Optical Flow”, CV_WINDOW_AUTOSIZE)。 ? We will put our output here for visualization and debugging. Step 4: Loo
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