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CS 523 ( CS 423/EE 533) Computer Vision. Lecture 1 INTRODUCTION TO COMPUTER VISION. About the Course. Syllabus. http://vvgl.ozyegin.edu.tr Objective Introduction to the theory, tools, and algorithms of 3D computer vision Instructor Assist. Prof. M. Furkan Kıraç

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CS 523 ( CS 423/EE 533) Computer Vision


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    1. CS 523 (CS 423/EE 533)ComputerVision Lecture 1 INTRODUCTION TO COMPUTER VISION

    2. About the Course

    3. Syllabus http://vvgl.ozyegin.edu.tr Objective Introduction to the theory, tools, and algorithms of 3D computer vision Instructor Assist. Prof. M. Furkan Kıraç E-mail: furkan.kirac@ozyegin.edu.tr Room: 219 Hours Wednesdays, 10:40-13:30, Room: 241 Grading Projects: 6x10% Final Exam: 40%

    4. Grading • Short Projects:Late submissions are not accepted. Copying answers from others’ work is not permitted. • Final Exam:At least 3 of the 6 Short Projects must be turned in by the due date in order to qualify for the Final Exam. No make-up will be given for the Final Exam. Students can take the Bütünleme exam if they miss the Final Exam.

    5. Recommended Books • Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2010. • Computer Vision: A Modern Approach, David A. Forsyth and Jean Ponce, Prentice-Hall, 2002. • Introductory Techniques for 3D Computer Vision, Emanuele Trucco and Alessandro Verri, Prentice-Hall 1998.

    6. OpenCV Resources • Learning OpenCV, Gary Bradski and Adrian Kaehler, O'Reilly, 2008. • OpenCV 2 Computer Vision Application Programming Cookbook, Robert Laganière, Packt Publishing, 2011. • Mastering OpenCV with Practical Computer Vision Projects, Daniel Lélis Baggio, et al., Packt Publishing, 2012.

    7. Applications of Computer Vision

    8. Image Stitching

    9. Image Matching

    10. Object Recognition

    11. 3D Reconstruction

    12. Interior Modeling

    13. 3D Augmented Reality

    14. 3D Camera Tracking

    15. Stereo Conversion for 3DTV

    16. Depth Estimation and View Interpolation for 3DTV

    17. Human Tracking

    18. License Plate Recognition

    19. Human Pose Estimation

    20. Course Outline

    21. Topics to be covered • 3D geometry fundamentals • Transformations and projections • Camera calibration • Feature detection and matching • Image stitching • Single view geometry • Two view geometry • Multiple view geometry • Stereo vision and depth estimation • 3D structure from motion • 3D camera tracking

    22. Relation to Other Fields

    23. Computer Vision Figure from "Computer Vision: Algorithms and Applications,” Richard Szeliski, Springer, 2010.

    24. Computer Graphics • Lights and materials • Shading • Texture mapping • Environment effects • Animation • 3D scene modeling • 3D character modeling • (OpenGL)

    25. Computer Graphics

    26. Image Processing Topics • Resampling • Enhancement • Noise filtering • Restoration • Reconstruction • Segmentation • Image compression • (MATLAB and OpenCV)

    27. Image Processing

    28. Video Processing Topics • Spatio-temporal sampling • Motion estimation • Frame-rate conversion • Multi-frame noise filtering • Multi-frame restoration • Super-resolution • Video compression • (MATLAB & OpenCV)

    29. Video acquisition-display chain Capture Representation Coding Transmission Decoding Rendering

    30. Human vs. Computer

    31. Optical illusions

    32. Actual vs. Perceived Intensity (Mach band effect)

    33. Brightness Adaptation of the Eye

    34. Optical illusions

    35. Optical illusions

    36. Why is Computer Vision Difficult?

    37. Human perception

    38. Human perception

    39. Human Visual System

    40. Human Eye

    41. Photoreceptors: Rods & Cones

    42. Rods vs. Cones • Rods • Perceive brightness only • Night vision • Cones • Perceive color • Day vision • Red, green, and blue cones

    43. Cone Distribution Blue is less-focused 64% 32% 2%

    44. Visual Threshold drop during Dark Adaptation

    45. Spatial Resolution of the Human Eye • Photopic (bright-light) vision: • Approximately7 millioncones • Concentratedaround fovea • Scotopic (dim-light) vision • Approximately75-150 millionrods • Distributed over retina (HDTV: 1920x1080 = 2 millionpixels)