Computer Vision

CMPSCI 570(591A)/670(691A) • Spring 2007 • Tuesday and Thursday, 2:30-3:45pm • Computer Science Building 150 (See map)

Instructor

Erik Learned-Miller
elm@cs.umass.edu
545-2993

Teaching Assistant

Dan Xie
dxie@cs.umass.edu
Office Hours: LGRC 220, Thursday 12:00-1:00pm

Prerequisites

Reading Materials

Resources

MATLAB Tutorial

Matlab Diary for Lecture on Feb. 1


Interesting Links

Checker shadow illusion

Early color photographs by S. M. Prokudin-Gorsky

Novel tessellations of CCDs

Non-lambertian reflectance functions

Explanation of hexagonal sampling efficiency

Problem Sets

Description

Schedule
Date Lecture topic New assignments Assignments due Reading
Jan. 30 Introduction. Color and light. Assignment 1: Read Lightness Perception and Lightness Illusions
Come up with five questions relevant to the paper. These can be things you didn't understand after a careful reading of the paper, or questions which the paper raises. Turn in the answer written up as a .pdf file. You will be graded on the depth of your questions and how much thought you were judged to have put into them. Expectations of graduate students will be higher.


Feb. 1 Introduction to using MATLAB for Computer Vision.
(Lecture Diary)




Feb. 6 Color constancy

Assignment 1 Due

Feb. 8 Pinhole cameras and perspective projection. Started radiometry.
Assignment 2: Colorizing the Prokudin-Gorsky photo collection

Slides
Feb. 13 Radiometry



Slides
Feb. 15 Classifying object using reflectances. Imaging aberrations

Assignment 2 Due

Slides
Feb. 20 Depth images, spatial resolution, sampling, log polar representations



Slides
Feb. 22 Nyquist sampling theorem, advantages of hexagonal sampling, pixel neighborhoods.



Slides
Feb. 27 MAP Classification: Parametric and Non-parametric estimation of probability distributions



Mar. 1 Nearest Neighbor methods and the Bayes Error Rate: The importance of the distance between points



Mar. 6
Assignment 3 (rawImage.dat)


Mar. 8



Mar. 13



Mar. 15



Mar. 20 Spring Recess


Mar. 22 Spring Recess


Mar. 27



Mar. 29
Assignment 4 (training_data.mat,test_data.mat)


Apr. 3



Apr. 5



Apr. 10



Apr. 12



Apr. 17 NO LECTURE: MONDAY SCHEDULE


Apr. 19
Optical flow 1



Apr. 24
Optical flow 2



Apr. 26
Optical flow 3



May. 1 Features and edges



May. 3
Assignment 5
training_10.mat
training_100.mat
testing_10.mat
testing_100.mat


May. 8



May. 10



May. 15 Last Day of classes