Image Computing
Autumn 2008

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Note: The corresponding chapters of the online textbook “Computer Vision: A Modern Approach” by D. Forsyth and J. Ponce are recommended readings for all lectures.

 

No.

 

Topic

Readings

Optional projects

Lecture 01

Overview

 

 

Lecture 02

Image coding

A simple fractal codec ,

A more advanced fractal codec .

Arithmetic coding,

Fractal coding,

Wavelet coding…

Lecture 03

Image filtering

[Martin et al. 2004]

 

Lecture 04

Features

Canny edge detector ,

SIFT feature detector by Lowe.

 

Feature extraction…

Lecture 05

Fitting

Curvature estimation algorithm by Williams et al.,

E-M tutorial

Line/curve fitting...

Lecture 06

Segmentation

Normalized cuts algorithm by Shi et al.

Various segmentation algorithms

Lecture 07

Registration/editing

Szeliski’s image alignment tutorial,

Seitz’s view morphing paper,

Burt’s blending paper

Image registration

Lecture 08

Optical Flow

Lucas-Kanade algorithm,

Performance comparison

Optical flow computation

Lecture 09

Projective geometry

Projective geometry tutorial by Zisserman and Mundy,

Another good tutorial in slides

 

Lecture 10

Projection

Projective geometry tutorial by Zisserman and Mundy,

Camera Design

 

Lecture 11

Calibration

Tsai’s calibration work,

Zhang’s calibration work,

Calibration

Lecture 12

Stereo

Szelisky’s stereo paper,

Davis et al. paper on spacetime stereo,

3D image

Stereo image making

Lecture 13

Single view vision

Single view metrology

metrology,

reconstruction...

Lecture 14

Multiple view vision

Online tutorial on epipolar geometry,

Seitz & Dyer paper on voxel coloring

modeling...

Lecture 15

Motion

Active contours,

Tomasi & Kanade paper,

Online notes on bundle adjustment

Motion analysis...

Lecture 16

Tracking

Kalman filter,

Condensation

Various tracking algorithms

Lecture 17

Texture

Texture synthesis paper by Efros et al.

Texture analysis/synthesis

Lecture 18

Recognition

Object detection algorithm by  Viola et al.

object recognition

Lecture 19

Matching

RANSAC,

Multi-image matching

 

Lecture 20

Lighting

 

 

Lecture 21

Probability&Statistics

 

 

Lecture 22

Multivariate analysis

 

 

Lecture 23

Review