1 / 14

Week 1

Emily Hand UNR. Week 1. Optical Flow - Lucas Kanade. Matlab Implementation Input Images:. Optical Flow - Matlab Cont. Output:. Optical Flow. OpenCV I downloaded and installed OpenCV on my laptop. Using the calcOpticalFlowLKPyr function in OpenCV, the following is produced.

elinor
Télécharger la présentation

Week 1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Emily Hand UNR Week 1

  2. Optical Flow - Lucas Kanade Matlab Implementation Input Images:

  3. Optical Flow - Matlab Cont. Output:

  4. Optical Flow OpenCV I downloaded and installed OpenCV on my laptop. Using the calcOpticalFlowLKPyr function in OpenCV, the following is produced.

  5. Optical Flow - OpenCV Input:

  6. Optical Flow - OpenCV Output:

  7. Edge Detection - Canny I implemented the code Dr. Lobo provided in C++. Input:

  8. Edge Detection - Canny Magnitude Image: Sigma = 1

  9. Edge Detection - Canny Peak Image: Sigma = 1

  10. Edge Detection - Canny Output Image: Sigma = 1

  11. Edge Detection - Canny Magnitude Image: Sigma = 3

  12. Edge Detection - Canny Peak Image: Sigma = 3

  13. Edge Detection - Canny Output Image: Sigma = 3

  14. Project Interests/ Further Research Bag of Words Model Classification of Faces Human Action Recognition     Movements/Gestures

More Related