CSSE463 – Image Recognition

Winter 2008

All electronic submissions are due at 11:59 pm on the day indicated, unless a project presentation or specified otherwise.

Please note that future homework assignments are tentative based on previous course offerings. We may change assigned homework at any time before it is assigned. Schedule subject to change.

Schedule last updated Nov 21.

Week / Main topic Monday Tuesday Thursday Friday
1: Intro to images, color (1) 12/1: Intros, Images and color
Start Lab 1: Intro to Matlab
(2) 12/2: Color features
Due in class: Read sunset paper
Lab 1 due Weds 11:59pm.
Optional help session 10th hour
(3) 12/4: Connected components, morphology in Matlab
Start Fruit-finder.
(4) 12/5: Lab 2: Color
2: Global and local features, edges (5) 12/8: Global and local operators, filtering (6) 12/9: Edge Masks
Lab 2 due (Weds)
(7) 12/11: Edge features (8) 12/12: Lab 3: Edges and filters
Due: Fruit-finder
3: More features (9) 12/15: Region properties (perimeter, circularity) (10) 12/16: Spatial moments
Lab 3 due (Weds)
(11) 12/18: Classification concepts (12) 12/19: Lab 4: Shape.
Due: Take-home quiz 1 (4 pm)
Christmas Break
4: Classifiers (13) 1/5: Neural nets (14) 1/6: Support vector machines
Lab 4 due (Weds)
(15) 1/8: Finish SVMs and demo. Assign sunset detector (16) 1/9: Lab 5: SVM toolbox.
5: Exam and sunset detector (17) 1/12: Bayesian classifiers (18) 1/13: Lightning talks, assign teams
Exam Q&A
Lab 5 due (Weds)
(19) 1/15: Exam (20) 1/16: Lab: sunset detector
6: Segmentation and clustering (21) 1/19: Project workday (22) 1/20: Project workday

Sunset detector due (Weds)

(23) 1/22: K-means segmentation (24) 1/23: Lab 6: k-means
Due: Lit reviews
7: Segmentation and object detection (25) 1/26: Hough transforms (26) 1/27: PCA and applications

Lab 6 due (Weds)

(27) 1/29: Template matching (28) 1/30: Lab 7: Hough transform or PCA
Due: Project plans and preliminary work (Sunday, 11:59)
8: Motion and special topics (29) 2/2: Surveillance and image flow (30) 2/3: Aperture problem,
Motion vectors
(31) 2/5: Kalman Filtering
Lab 7 due
(32) 2/6: Lab: Projects
Due: Status report
9: Special topics and project work (33) 2/9: Adaboost (34) 2/10: Segmentation using normalized cuts (35) 2/12: Lab: Projects (36) 2/13: Lab: Projects
Due: Status report
10: Presentations (37) 2/16: Lab: Projects (38) 2/17: Course evals, in-class presentations: Micah and Matt (39) 2/19: In-class presentations: Andy and Jon, Michael and Andrew
(40) 2/20: In-class presentations: Jon, Isaac, and Bobby, Sam and Sam
Due: final project (code, report, and presentations)