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CAP 5415 Computer Vision

CAP 5415 Computer Vision. General. Instructor: Dr. Alper Yilmaz Email: yilmaz@cs.ucf.edu Office: CSB 250. Course. Office hours Monday 3.00pm-4.30pm Wednesday 3.00pm-4.30pm Grading Midterms (2) 20% Final 30% Assignments (bi-weekly) %20 Projects (2) %30 Class notes

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CAP 5415 Computer Vision

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  1. CAP 5415 Computer Vision

  2. General • Instructor: Dr. Alper Yilmaz • Email: yilmaz@cs.ucf.edu • Office: CSB 250

  3. Course • Office hours • Monday 3.00pm-4.30pm • Wednesday 3.00pm-4.30pm • Grading • Midterms (2) 20% • Final 30% • Assignments (bi-weekly) %20 • Projects (2) %30 • Class notes • “Fundamentals of computer vision”, Dr. Mubarak Shah available on web page (http://www.cs.ucf.edu/courses/cap6411/book.pdf) • Text book • “Introductory Techniques for 3D Computer Vision” Trucco and Verri, Prentice Hall.

  4. Topics We’ll Cover • Imaging Geometry • Camera Modeling and Calibration • Filtering and Enhancing Images • Region Segmentation • Color and Texture • Line and Curve Detection • Shape Analysis • Stereo • Motion and Optical Flow • Structure from X We may change order

  5. Computer Vision • Image Analysis • Single frame • Image Understanding • Video Analysis • Multiple frames, temporal information • Video Understanding

  6. Generating an Image • 3D Scene • Surface reflectance • Surface structure (shape) • Light source • Camera

  7. Perspective Projection 3D world (X,Y,Z) f Z Pin hole camera Image plane y

  8. Orthographic Projection 3D world (X,Y,Z) y Z Image plane

  9. Discrete Domain Image • Set of integer values in two dimensions • 0-255 • Gray level image (1 matrix • 0: Black 255: White • Color image (3 matrices) • Red, Green, Blue • Resolution • Number of rows, number of columns

  10. Video • Sequence of image • Frames per second • Gray level video • Color video

  11. Digitization • Analog camera • Analog to Digital converter • Frame grabber • Digital camera • Already digitized • MPEG or JPEG

  12. Image Formats • TIFF • JPEG • PGM, PPM • PNM • BMP • MPEG • Quick Time…

  13. Computer Vision • Shape From “X” • Shading (single image) • Texture (single image) • Stereo (two images) • Motion (multiple images)

  14. Stereo

  15. http://www.vision3D.com/stereo.html

  16. Example

  17. Stereo Pair

  18. Stereo Fun candy dinosaur shark

  19. Shape from Shading

  20. Lambertian Surface Model surface normal light source

  21. Sphere Example

  22. Vase Image (1, 0, 1) (-1, 1, 1) (-1,-1, 1)

  23. Object Motion Video Sequence of images

  24. An Image from Hamburg Taxi Sequence

  25. Video Mosaics

  26. Vision Lab. Sequence

  27. Beach Volley Sequence

  28. Sprite

  29. Tracking in Multiple Cameras • Find field of view (FOV) lines • Detect objects • Associate objects

  30. Story Segmentation

  31. Explosion/fire Detection

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