Introduction and Brief History

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Lecture 1
CAP 5415 Computer Vision

• Introduction and Brief History

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Course Information

• Instructor
• Dr. Kanad Biswa
• Email kanad_at_cs.ucf.edu
• Office CSB 234
• Phone [phone]
• Office Hours
• Tue 400-500pm Wed 300-400pm
• TA
• Jiangjian Xiao
• 407-8233364 (CSB108)
• Email jxiao_at_cs.ucf.edu
• Office Hours MW, 200-300pm

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Course Information

• Class Schedule
• Mon and Wed, 430pm-545pm.
• ENG2 105.
• CCI-202 (TA Lab)
• Class Homepage
• http//www.cs.ucf.edu/courses/cap6411/cap5415-2004
  /

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Syllabus

• Course goals
• Cover basic topics of computer vision, and
  introduce some fundamental approaches for
  computer vision research.
• Imaging Geometry
• Camera Modeling and Calibration
• Filtering and Enhancing Images
• Region Segmentation
• Motion and Optical Flow
• Color and Texture
• Line and Curve Detection
• Shape Analysis
• Stereopsis
• Structure from X

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Syllabus

• Exam and Grading Policy
• Biweeky Assignments 20
• Programming Assignments 30
• Mid-Term Exam 20
• Final Exam 30
• Prerequisites
• A good background in calculus, geometry, linear
  algebra, statistics, programming in MATLAB and/or
  C.

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Syllabus

• Reference Text
• Emanuele Trucco, Alessandro Verri, "Introductory
  Techniques for 3-D Computer Vision", Prentice
  Hall, 1998. 
• Mubarak Shah, "Fundamentals of Computer Vision".
• David A. Forsyth and Jean Ponce, "Computer
  Vision A Modern Approach", Prentice Hall, 2003. 
  

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What is Computer Vision?

• Image and video understanding
• Computer emulation of human vision
• Inverse of computer graphics

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Intersection Between Vision and Graphics
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From Trucco and Verri, 1998
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Related Disciplines

• Image process
• Computer graphics
• Pattern recognition
• Artificial intelligence
• Applied mathematics
• Learning

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Course Overview

• What we will cover?

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Image Geometry
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Camera
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Image Filter and Enhance
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Image Warping
16
Edge Detector
17
Optical Flow
18
Panoramic Mosaic
19
Stereo
20
Tracking
Results from Knight system in UCF
Contour tracking in UCF
21
Shape from Shading
Emmanuel Prados, Olivier Faugeras, and Elisabeth
Rouy, Shape from Shading and Viscosity
Solutions, ECCV 2002.
22
Structure from Motion
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Point Correspondences
24
Structure lighting with Stereo
Li Zhang, Brian Curless, and Steven M. Seitz.
Spacetime Stereo Shape Recovery for Dynamic
Scenes. CVPR 2003.
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Tracking
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Contour-based Tracking
27
Wide Baseline Matching
28
Dynamic View Morphing
29
Tri-view Morphing
Three original images
Tri-view synthesis
Augmented reality
30
Motion Segmentation