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 21 January.
| Week / Main topic | Monday | Tuesday | Thursday | Friday |
| 1: Intro to images, color | (1) 11/26: Intros, Images and color Start Lab 1: Intro to Matlab (Ch 1) |
(2) 11/27: Color features Due in class: Read sunset paper Lab 1 due Weds 1:30 pm. Optional help session Tues 10th hour, O259 (2,2, 2,4) |
(3) 11/29: Connected components, morphology in Matlab Start Fruit-finder. (13.1-13.3) |
(4) 11/30: Lab 2: Color Laptops for every lab |
| 2: Global and local features, edges | (5) 12/3: Global and local operators, filtering (5.1, 5.3) | (6) 12/4: Edge Masks Lab 2 due (Weds, 1:30 always) (5.3) |
(7) 12/6: Edge features (5.3) |
(8) 12/7: Lab 3: Edges and filters Due: Fruit-finder 11:59 pm |
| 3: More features | (9) 12/10: Region properties (perimeter, circularity) (8.1-8.3). Convocation schedule | (10) 12/11: Spatial moments Lab 3 due (Weds) (8.3) |
(11) 12/13: Classification concepts (9.2.1) | (12) 12/14: Lab 4: Shape. |
| 4: Classifiers | (13) 12/17: Test 1 (take home portion due now) | (14) 12/18: Support vector machines Lab 4 due (Weds) (9.2.4) |
(15) 12/20: Finish SVMs and demo. Assign sunset detector | (16) 12/21: Lab 5: SVM toolbox. |
| Christmas Break | ||||
| 5: Exam and sunset detector | (17) 1/7: Neural nets (9.3.1) | (18) 1/8: Neural nets and SVM, Lightning talks Lab 5 due (Weds) |
(19) 1/10: Lightning talks, assign teams Exam Q&A |
(20) 1/11: Lab: sunset detector |
| 6: Segmentation and clustering | (21) 1/14: Midterm Exam | (22) 1/15: Project workday
Sunset detector due (Weds 11:59 pm) |
(23) 1/17: k-means segmentation (9.2.5) | (24) 1/18: Lab 6: k-means Due: Lit reviews |
| 7: Segmentation and object detection | (25) 1/21: Template matching (6.4) | (26) 1/22: Hough transforms (6.2.6) Lab 6 due (Weds) |
(27) 1/24: PCA and applications (3.2.10) | (28) 1/25: Lab 7: Hough transform or PCA Due: Project plans and preliminary work (Sunday, 11:59) |
| 8: Motion and special topics | (29) 1/28: Surveillance and image flow (16.2) |
(30) 1/29: Aperture problem, Motion vectors (16.3) Lab 7 due (Weds) |
(31) 1/31: Bayesian classifiers (9.2.2) | (32) 2/1: Lab: Projects Due: Status report (11:00 am) |
| 9: Special topics and project work | (33) 2/4: Adaboost (9.8) | (34) 2/5: Lab: Projects | (35) 2/7: Test 2 | (36) 2/8: Lab: Projects Due: Status report (11:00 am) |
| 10: Presentations | (37) 2/11: In-class presentations: ChessBot IGVC |
(38) 2/12: in-class presentations: Cancer Detection Stereoscopic Depth Mapping |
(39) 2/14: In-class presentations: PhotoMosaic Moving Object Detection |
(40) 2/15: Course evals on your own... Where's Waldo? PaintByNumber Due: final project (code, report, and presentations), 11:59 PM |