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Computer Vision (CSE 490CV, EE400B)

Computer Vision (CSE 490CV, EE400B). Staff Prof: Steve Seitz ( seitz@cs ) TA: Li Zhang ( lizhang@cs ) Web Page http://www.cs.washington.edu/education/courses/cse490cv/02wi/ Handouts course info survey, due Friday readings account forms. Today. Overview of Computer Vision

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Computer Vision (CSE 490CV, EE400B)

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  1. Computer Vision (CSE 490CV, EE400B) • Staff • Prof: Steve Seitz (seitz@cs ) • TA: Li Zhang (lizhang@cs) • Web Page • http://www.cs.washington.edu/education/courses/cse490cv/02wi/ • Handouts • course info • survey, due Friday • readings • account forms

  2. Today • Overview of Computer Vision • Overview of Course • Image Filtering • Readings for this week • Forsyth & Ponce, chapters 8.1-8.2 • http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf • Watt, 10.3-10.4 (handout) • Cipolla and Gee (handout) • supplemental: Forsyth, chapter 9 • Intelligent Scissors • http://www.cs.washington.edu/education/courses/490cv/02wi/readings/book-7-revised-a-indx.pdf

  3. What is Computer Vision? • Computer programs that interpret images

  4. Image Processing

  5. Perception

  6. Perception

  7. Perception

  8. Computer Graphics

  9. Topics in this class: Low-level vision • image filtering • edge detection • feature detection • image pyramids

  10. Topics in this class: Motion Estimation • optical flow • feature tracking • image alignment • image mosaics

  11. Topics: 3D Scene Reconstruction • projective geometry • camera modeling • single view metrology • camera calibration • stereo • structure from motion Debevec video

  12. Topics: Object Recognition Face group, CMU http://www.ri.cmu.edu/labs/lab_51.html

  13. Applications: Robotics

  14. Applications: 3D Scanning • Scanning Michelangelo’s “The David” • The Digital Michelangelo Project • - http://graphics.stanford.edu/projects/mich/ • UW Prof. Brian Curless, collaborator • 2 BILLION polygons, accuracy to .29mm

  15. Applications: Motion Capture

  16. Applications: Industrial Inspection

  17. Applications: Games • Crowd games • work at CMU and UW

  18. Application: Image Retrieval

  19. Application: Medical Imaging

  20. Application: Document Analysis Digit recognition, AT&T labs http://www.research.att.com/~yann/

  21. Project 1: Intelligent Scissors

  22. Project 2: Panorama Stitching • http://www.cs.washington.edu/education/courses/cse490cv/02wi/

  23. Project 3: Single View Modeling

  24. Project 0 • There will be a short project assigned this Friday • Goal is to get familiar with image IO, UI infrastructure

  25. Class Webpage • http://www.cs.washington.edu/education/courses/cse490cv/02wi/

  26. Grading • Programming Projects • filtering (10%) • image scissors (20%) • panoramas (20%) • single view modeling (20%) • Midterm (15%) • Final (15%)

  27. General Comments • Prerequisites—these are essential! • Data structures (CSE 326) • A good working knowledge of C and C++ programming • Linear algebra • Vector calculus • Course does not assume prior imaging experience • computer vision, image processing, graphics, etc. • Course will be programming-intensive!

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