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) |