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 Jan 15.
| Week | Monday | Tuesday | Thursday | Friday |
| 1: Intro to images, color | (1) 11/26: Intros, Images and color Start Lab 0: Intro to Matlab |
(2) 11/27: Color features Due: Read sunset paper Lab 0 due Weds. Optional help session Tues7-9pm in O231. |
(3) 11/29: Connected components, morphology in Matlab Start fruit finder. |
(4) 11/30: Lab 1: Color |
| 2: Global and local features, edges | (5) 12/3: Global and local operators, filtering | (6) 12/4: Edge Masks Lab 1 due (Weds) |
(7) 12/6: Edge features | (8) 12/7: Lab 2: Edges and filters Due: Fruit-finder |
| 3: More features | (9) 12/10: Region properties (perimeter, circularity) | (10) 12/11: Spatial moments Lab2 due (Weds) |
(11) 12/13: Classification concepts | (12) 12/14: Lab 3: Shape. Due: Written assignment 1 (5 pm if paper, else 11:59) |
| 4: Classifiers | (13) 12/17: Neural nets | (14) 12/18: Support vector machines Lab3 due (Weds) |
(15) 12/20: Finish SVMs and demo. Assign sunset detector | (16) 12/21: Lab 4: SVM toolbox. |
| Christmas Break | ||||
| 5: Exam and sunset detector | (17) 1/7: Bayesian classifiers | (18) 1/8: Exam Q&A Lab4 due (Weds) |
(19) 1/10: Exam | (20) 1/11: Class cancelled Time for sunset detector |
| 6: Segmentation and clustering | (21) 1/14: K-means segmentation | (22) 1/15: PCA and applications |
(23) 1/17: Q&A
Sunset detector due (Weds) |
(24) 1/18: Lab 5: k-means |
| 7: | (25) 1/21: Lightning talks, assign teams (short class) | (26) 1/22: Segmentation using normalized cuts Lab5 due (Weds) |
(27) 1/24: Hough transforms | (28) 1/25: Lab 6: PCA Due: Lit reviews |
| 8: Motion and Special topics | (29) 1/28: Surveillance and image flow | (30) 1/29: Aperture problem, Motion vectors Lab 6 due (Weds) |
(31) 1/31: Adaboost | (32) 2/1: Project workday Due: Project plans and preliminary work (11:59) |
| 9: Special topics and project work | (33) 2/4: Lab: Projects | (34) 2/5: Lab: Projects. | (35) 2/7: Lab: SIFT features or Projects | (36) 2/8: In-class presentations: Salamanders, CardReader. Due: Status report |
| 10: Presentations | (37) 2/11: In-class presentations: Handwriting, Paintings | (38) 2/12: Course evals, Lab: Projects (Dr. B. at Wabash College) | (39) 2/14: In-class presentations: NEAT Faces, RoboCup | (40) 2/15: In-class presentations: ObjectDetection, LenoSpace Due: final project (code, report, and presentations) |