CMSC 426
Image Processing (Computer Vision)
David Jacobs
Spring 2004
CMSC 426
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Announcement
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General Information
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Below is a tentative schedule for problem sets and lectures.
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| Assigned | Due | ||
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Problem
Set
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Problem Set 1 : PDF
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Jan. 29th | Feb. 5 |
| Problem Set 2:
PDFWord
Matlab routines: ladderdisplay_image_ptsmovie_pts |
Feb. 5 | Feb. 12 | |
| Problem Set 3: PDFWord | Feb. 12 | Feb. 19 | |
| Problem Set 4:
PDFWord
Zipped file with all matlab code Or, individual files: extractmin.m, filterimage.m, imagetoolbox.m, insert.m, ps4.m, scissor.m, swan.jpg This problem set is based on one developed by Steve Seitz at the University of Washington. His description of the problem, and sample results can be found here. The problem set is based on the reading:: Intelligent Scissors for Image Composition, by Eric Mortensen and William Barrett, SIGGRAPH '95. |
Feb. 19 | Mar. 4 | |
| Problem Set 5:
PDF Word
This problem set is based on ``Texture Synthesis by Non-parametric Sampling'' by Efros and Leung. See their web page for the paper, pseudocode and examples. Here is a function checkerboard.m and a sample image, brickbw.jpg, to use to test your program. |
Mar. 11 | Apr. 1 | |
| Problem Set 6: PDFWord. I1L.jpg I1R.jpg T3bw.jpgT4bw.jpgI3.jpg | Apr. 1 | Apr. 15 | |
| Problem Set 7: WordWeb page | Apr. 29 | May 6 | |
| A hardcopy of all solutions and code
should be turned in by end of class on the assigned date. If the
assignment involves writing Matlab code, all code should be emailed to the TA
also, so that it can be run, if needed. Please tar all matlab files into
one file named student_name_psX and email it to kbits@wam.umd.edu.
Problems not completed on time can be turned in one day late, for 90% credit, or four days late for 70% credit. |
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Class slides will
typically be posted here, usually minutes before class begins. In most
cases, you can find a good approximation to these slides from last year's
class, accessible from my home page.
| Class Slides | Class 1 : Introduction (Jan. 27): Powerpoint Web page | READINGS | |
| Class 2 : Image Formation (Jan. 29): PowerpointWeb page. | T&V Chapter 1, Sections 2.1 and 2.2 (only skim 2.2.2). | ||
| Class 3 : Matlab Tutorial and Linear Algebra (Feb. 3) PowerpointWeb page Matlab | |||
| Class 4: Filtering (Feb. 5) PowerpointWeb PageMatlab | T&V Chapter 3. | ||
| Class 5 : Edge Detection -1 (Feb. 10) Powerpoint Web page Matlab | T&V Sections 4.1, 4.2 | ||
| Class 6 : Edge Detection -2 (Feb. 12) | |||
| Class 7 : SNAKEs (finding boundaries) (Feb. 17) PowerpointWeb page | T&V Section 5.4 | ||
| Class 8: Corners Powerpoint Web page | T&V Section 4.3 | ||
| Class 9 : Texture Powerpoint Web page | See chapter 9, Forsyth and Ponce | ||
| Class 10 : Texture - Advanced | |||
| Class 12: Perspectives on Vision (Marr and Bayesian Reasoning) (Mar. 4) | |||
| Class 12a : Review for Quiz Friday, March 5, 1:30-3:00, A.V. Williams, Room 4424. | |||
| Class 13: QUIZ I (Mar. 9) - Covers projection, edge detection, corners, and SNAKES. | |||
| Class 14: Go over quiz. Catch up. (Mar. 11) | |||
| Class
15: Human perceptual grouping (March 16)
Powerpoint
Web
page
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| Class 16: Grouping: clustering, RANSAC, Hough (Mar. 18). | T&V 5.1, 5.2 | ||
| Class 17 : Grouping: E-M or Spectral Methods - (March 30) Powerpoint Web page . Matlab for K-means: kmeans.m kmean_demo.m Matlab for E-M tutorial.m tutorial2.mplot_em. | |||
| T&V 7.1, 7.2, 7.3.1, 7.3.2, 7.3.7, 7.4 through 7.4.1. | |||
| Class 19 : Stereo (2) - (April 6) | |||
| Class 20 : Structure from Motion (1 ) - (April 8) PowerpointWeb Page tutorial.m | T&V 8.5.1 | ||
| Class 21 Structure from Motion (2 ) - (April 13) | |||
| Class 22 : Structure from Motion (3) - (April 15) | |||
| Class 23 Matching and Optical Flow I -- Quiz Review (Apr. 20) PowerpointWeb page | T&V 8.3 and 8.4 (but not Kalman tracking). | ||
| Class 24 : QUIZ II covers texture, grouping, stereo, structure-from-motion (Apr. 22) Practice Quiz (word) (pdf). | |||
| Class 25 Matching and Optical Flow I (continued) -- Quiz Answers (Apr. 27) | |||
| Class 26 Matching and Optical Flow II (Apr. 29) | |||
| Class 27 Recognition I (May 4) Powerpoint Web page | |||
| Class 28 Recognition II (May 6) | |||
| Class 29 Summary (May 11) | |||
| FINAL Thursday, May 13, 8am in the classroom. Final Review (word) (html) |
Useful Links
Image Processing Learning resources:
http://www.dai.ed.ac.uk/HIPR2/index.htm
MATLAB resources:
Introductory Tutorials
