Multidimensional Digital Signal Processing

ECG782 Fall 2016

Description

Professor:
Dr. Brendan Morris,
SEB 3216
OH: MTuWTh 16:00-17:00

Lecture: TuTh 17:30-18:45, WRI C225 TBE-B 172
Final: Th Dec 15, 18:00-20:00
Look up your final exam schedule now to determine conflicts.

Textbook

Digital Image Processing, 3rd Edition, Gonzalez and Woods, ISBN: 978031687288.

Recommended Text

Image Processing, Analysis, and Machine Vision, 4th Edition, Sonka, Hlavac, and Boyle, ISBN: 978-1-133-59360-7
Computer Vision: Algorithms and Applications, Richard Szeliski. Available online [link]

Catalog Description:

Theory and applications of multidimensional (M-D) digital signal processing. M-D signals and systems. M-D z-transform. M-D DFT and FFT. Design and implementation of M-D FIR and IIR filters. Applications to image processing such as image enhancement and restoration. Advanced topics chosen according to class interests.
Prerequisites: ECG782

Course Syllabus: [pdf]

Grading

ComponentPercentageDate
Midterm: 20% TBD
Final: 20% 12/08 18:00
Project: 30% 12/03
Homework: 15%
Presentation: 15%

Students may work together in study groups but all assignments must be completed individually. Homework will be due in class on the designated date. No late homework will be accepted unless prior notification and arrangements are made. The course will have a final computer vision term project. You will be required to submit a project report in the form of a conference styled manuscript and make a presentation.

Gradebook

The gradebook is available through UNLV Webcampus [link].

Announcements

DateNote
09/14/16 We have a new classroom starting Th. 09/15. We will meet in TBE-B 172.
08/14/16 Welcome to Fall 2016. This class will utilize Matlab/OpenCV for programming and Latex for assignments.

Schedule (Tentative)

WeekDateLecture TopicReadingAssignment
1 08/30 Tu Course Info [pdf] Intro [pdf] GW Ch 1-2 HW00 [pdf]
09/01 Th Image Fundamentals [pdf]
2 09/06 Tu Spatial Filtering [pdf] GW Ch 3 HW01 [pdf]
Due Th 9/15
09/08 Th Spatial Filtering
3 09/13 Tu Color Image Processing [pdf] GW Ch 6, 9
09/15 Th Morphology [pdf]
4 09/20 Tu Frequency Domain Filtering [pdf] GW Ch 4
09/22 Th Frequency Domain Filtering
5 09/27 Tu Segmentation [pdf] GW Ch 10 HW02 [pdf]
Due Tu 9/29
09/29 Th Segmentation
6 10/04 Tu Motion [pdf] Szeliski Ch 8
Sonka Ch 16		 HW03 [pdf]
Due Th 10/13
10/06 Th Motion
7 10/11 Tu Keypoints [pdf] Szeliski Ch 4 HW04 [pdf]
Due Th 10/20
10/13 Th Keypoints
8 10/18 Tu Project Introduction [pdf]
Reading List [link]		 Project Description [pdf]
Project Examples [pdf]
Reading List [link]		 HW05 [pdf]
Due Th 10/27
10/20 Th
9 10/25 Tu Paper Presentation [pdf]
Due Tu. 11/03
10/27 Th
10 11/01 Tu Midterm Review
11/03 Th Midterm
11 11/08 Tu Object Recognition [pdf] [Stauffer and Grimson 1999] [pdf]
11/10 Th Mixture of Gaussian Background Model [pdf]
12 11/15 Tu Local Binary Pattern [pptx] [Ahonen el al. 2006] [pdf]
[Felzenszwalb et. al 2010] [pdf]
11/17 Th Deformable Part Model [pptx]
13 11/22 Tu DPM Bike IMM Tracking [pptx] [Cho et al. 2011] [pdf]
11/24 Th Thanksgiving
14 11/29 Tu Visual SLAM [pptx] [Se and Lowe 2001] [pdf]
[Viola and Jones 2001] [pdf]
12/01 Th Boosted Face Detector [pdf]
15 12/06 Tu Review
12/08 Th Project Presentations
16 12/13 Tu -
-
12/15 Th Final