CSSE463 – Image Recognition

Winter 2010-2011

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