All electronic submissions are due at 3:25 on the day indicated, unless 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. Corresponding sections from Sonka, et al. are given at the end where appropriate.
Schedule last updated February 3.
| Week / Main topic | Monday | Tuesday | Thursday | Friday |
| 1: Intro to images, color | (1) 11/29: Intros, Images and color Start Lab 1: Intro to Matlab (Ch 1) |
(2) 11/30: Color features Due in class: Read sunset paper Lab 1 due Weds 3:25pm. Optional help session 10th hour, G315 (2,2, 2,4) |
(3) 12/2: Connected components, morphology in Matlab Start Fruit-finder. (13.1-13.3) |
(4) 12/3: Lab 2: Color Laptops for every lab |
| 2: Global and local features, edges | (5) 12/6: Global and local operators, filtering (5.1, 5.3) | (6) 12/7: Edge Masks Lab 2 due (Weds) (5.3) |
(7) 12/9: Edge features (5.3) |
(8) 12/10: Lab 3: Edges and filters Due: Fruit-finder 11:59 pm |
| 3: More features | (9) 12/13: Region properties (perimeter, circularity) (8.1-8.3) | (10) 12/14: Spatial moments Lab 3 due (Weds) (8.3) |
(11) 12/16: Classification concepts (9.2.1) | (12) 12/17: Lab 4: Shape. Due: Take-home quiz 1 (4 pm) |
| Christmas Break | ||||
| 4: Classifiers | (13) 1/3: Neural nets (9.3.1) | (14) 1/4: Support vector machines Lab 4 due (Weds) (9.2.4) |
(15) 1/6: Finish SVMs and demo. Assign sunset detector | (16) 1/7: Lab 5: SVM toolbox. |
| 5: Exam and sunset detector | (17) 1/10: David Crandall's guest lecture | (18) 1/11: Lightning talks, assign teams Exam Q&A Lab 5 due (Weds) |
(19) 1/13: Exam | (20) 1/14: Lab: sunset detector |
| 6: Segmentation and clustering | (21) 1/17: k-means segmentation (9.2.5) | (22) 1/18: Project workday Sunset detector due (Weds) |
(23) 1/20: Template matching (6.4) | (24) 1/21: Lab 6: k-means Due: Lit reviews |
| 7: Segmentation and object detection | (25) 1/24: Hough transforms (6.2.6) | (26) 1/25: PCA and applications (3.2.10) Lab 6 due (Weds) |
(27) 1/27: Adaboost (9.8) | (28) 1/28: Lab 7: Hough transform or PCA Due: Project plans and preliminary work (Sunday, 11:59) |
| 8: Motion and special topics | (29) 1/31: Surveillance and image flow (16.2) | (30) 2/1: Snow day Lab 7 due (Weds) (16.3) |
(31) 2/3: Aperture problem, Motion vectors |
(32) 2/4: Lab: Projects Due: Status report |
| 9: Special topics and project work | (33) 2/7: Bayesian classifiers (9.2.2) | (34) 2/8: Lab: Projects (out of class) | (35) 2/10: Quiz 2 | (36) 2/11: Lab: Projects Due: Status report |
| 10: Presentations | (37) 2/14: Lab: Projects | (38) 2/15: in-class presentations: Rovio Visual Servoing, Iris Recognition |
(39) 2/17: In-class presentations: SmartBoard Lite, Bejeweled Blitz | (40) 2/18: Course evals Gesture Mouse Due: final project (code, report, and presentations), 11:59 PM |