All electronic submissions are due at 1:30 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 7 Jan.
| Week / Main topic | Monday | Tuesday | Thursday | Friday |
| 1: Intro to images, color | (1) 12/2: Intros, Images and color Start Lab 1: Intro to Matlab (Ch 1) Optional help session 10th hour, O257 |
(2) 12/3: Color features Due in class: Read sunset paper Lab 1 due Weds 1:30 pm. (2,2, 2,4) |
(3) 12/5: Connected components, morphology in Matlab Start Fruit-finder. (13.1-13.3) |
(4) 12/6: Lab 2: Color Laptops for every lab |
| 2: Global and local features, edges | (5) 12/9: Global and local operators, filtering (5.1, 5.3) | (6) 12/10: Edge Masks Lab 2 due (Weds, 1:30 always) (5.3) |
(7) 12/12: Edge features (5.3) |
(8) 12/13: Lab 3: Edges and filters Due: Fruit-finder 11:59 pm |
| 3: More features | (9) 12/16: Region properties (perimeter, circularity) (8.1-8.3). | (10) 12/17: Spatial moments Lab 3 due (Weds) (8.3) |
(11) 12/19: Lab 4: Shape. | (12) 12/20: Take-home test due 5:00 pm. |
| Christmas Break | ||||
| 4: Classifiers | (13) 1/6: SNOW DAY | (14) 1/7: SNOW DAY | (15) 1/9: Classification concepts (9.2.1) Lab 4 due (Thurs) |
(16) 1/10: Support vector machines (9.2.4) |
| 5: More classifiers | (17) 1/13: Finish SVMs and demo SVM toolbox. Assign sunset detector | (18) 1/14: Neural nets (9.3.1) Lightning talk slides to dropbox (Weds 11:59 pm) |
(19) 1/16: Lightning talks, assign teams Lab 5 due (Thurs) | (20) 1/17: Lab day: sunset detector |
| 6: Sunset detector and clustering | (21) 1/20: Neural nets and SVM | (22) 1/21: Project workday
Sunset detector due (Weds 11:59 pm) |
(23) 1/23: k-means segmentation (9.2.5) | (24) 1/24: Lab 6: k-means Due: Lit reviews |
| 7: Segmentation and object detection | (25) 1/27: Midterm Exam | (26) 1/28: Hough transforms (6.2.6) Lab 6 due (Weds) |
(27) 1/30: PCA and applications (3.2.10) | (28) 1/31: Lab 7: Hough transform or PCA Due: Project plans and preliminary work (Sunday, 11:59) |
| 8: Motion and special topics | (29) 2/3: Template matching (6.4) | (30) 2/4: Surveillance and image flow (16.2) Lab 7 due (Weds) |
(31) 2/6: Aperture problem, Motion vectors (16.3) | (32) 2/7: Lab: Projects Due: Status report (11:00 am) |
| 9: Special topics and project work | (33) 2/10: Bayesian classifiers (9.2.2) | (34) 2/11: Lab: Projects | (35) 2/13: Test 2 | (36) 2/14: Lab: Projects Due: Status report (11:00 am) |
| 10: Presentations | (37) 2/17: In-class presentations: Playing Card Recognition OCR for LaTeX |
(38) 2/18: In-class presentations: Picto-Crypto Tic Tac Toe |
(39) 2/20: In-class presentations: FRC Robot Tracker Cursor Control Through Eye Movement |
(40) 2/21: Emotion detection Course evals Due: final project (code, report, and presentations), 11:59 PM |