DPL Header Photogrammetric Computer Vision Laboratory
The Ohio State University
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 Geodetic Science 830 - Advanced Methods of Processing Digital Imagery in Photogrammetry

Instructor: Alper Yilmaz, PhD
Office: Bolz Hall 214C
Lecture Day&Time: Tuesday 1:30pm-4:18pm

Cource Book:
R. Hartley and A. Zisserman: Multiple View geometry in Computer Vision, Cambridge University Press, 2000.
Google book search link to text book

Cource Objective: GS830 provides students with both theoretical and practical aspects of implicit geometric relations between multiple images of a scene taken from different viewpoints. Several examples will be provided throughout the course to provide the students the tools to apply these cocepts on real world images.

Lecture Slides:

  • Lecture 1 (3/27/2007)
    • Introduction and Course Layout
  • Lecture 2 (3/29/2007)
    • Projective geometry
    • Transformations
  • Lecture 3 (4/3/2007)
    • Projective geometry
    • Recovery of affine and metric properties
    • Homework assignment
  • Lecture 4 (4/5/2007)
    • Projective geometry in 2D
    • Homework assignment
  • Lecture 5 (4/10/2007)
    • Projective geometry in 3D
  • Lecture 6 (4/12/2007)
    • Estimation of 2D Projective Transformations
    • Programming assignment
  • Lecture 7 (4/24/2007)
  • Lecture 8 (4/25/2007)
    • Camera models
  • Lecture 9 (4/26/2007)
    • Camera models
    • Estimation of projection matrix
  • Lecture 10 (4/30/2007)
    • Estimation of projection matrix
    • Single view geometry
  • Lecture 11 (5/3/2007)
    • Single view geometry
  • Lecture 12 (5/4/2007)
    • Single view geometry
    • Multiple view geometry
  • Lecture 13 (5/8/2007)
    • Multiple view geometry
    • Direct reconstruction
  • Lecture 14 (5/10/2007)
    • 3D reconstruction
    • Computation of F
  • Lecture 15 (5/15/2007)
    • Computation of F
  • Lecture 16 (5/17/2007)
    • Structure computation
    • Scene planes and homographies
  • Lecture 17 (5/22/2007)
    • Trifocal tensor
  • Lecture 18 (5/24/2007)
    • Factorization
    • Project discussions
  • Lecture 19 (5/29/2007)
    • Projects
  • Lecture 20 (5/31/2007)
    • Projects

 Programming Assignments

Due date: (4/17/2007). See Lecture Notes 4

Due date: (4/26/2007). See Lecture Notes 6

Due date: (5/08/2007). See Lecture Notes 7

 Homework Assignments

Due date: (4/10/2007). See Lecture Notes 3

Due date: (4/12/2007). See Lecture Notes 4

 Final Projects

Due Date & Time: 6/8/2007 3pm

Deliverables:

  • Weekly progress reports. Including half a page to one page of text with 11pt Times New Roman single line.
  • Paper in IEEE two column format. 6 pages of text. Times New Roman 11pt, single space.
  • Half a page peer-evaluation
  • Source code on a CD with written names of the contributors
  • 25 minute presentation
  • Program demo in the class

Object recognition using view-geometric constraints
Gabor Barsai, Yeon Yeun, Sudhagar Nagarajan

3D Object reconstruction using level sets
Panu Srestasathieren, Ekta Amar, Sagar Desphante

Object grouping using view-geometric relations
Po-Lun Lai, Shaojun He, I-chieh Lee

 Data and Algorithms

P. Kovesi: Matlab toolbox for various multi-view geometry based algorithms

A. Zisserman: Matlab functions for multi-view geometry

 Tutorial Links

A. Heyden: Tutorial on Multiple View Geometry

A. Mundy: Tutorial on Projective Geometry for Machine Vision

S. Heuel: Projective Geometry for Grouping and Orientation Tasks

W. Foerstner: Uncertainty, Testing and Estimating of Geometric Parameters

Z. Zhang: Parameter Estimation Techniques: A Tutorial with Application to Conic Fitting


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Last updated: March, 2008