Dig Image Anal
- Ying Wu
- Technological Institute M152 - TuTh 11:00AM - 12:20PM
- CATALOG DESCRIPTION: Introduction to computer and biological vision systems, image formation, edge detection, image segmentation, texture, representation and analysis of two-dimensional geometric structures, and representation and analysis of three-dimensional structures.
DETAILED COURSE TOPICS :
1.Introduction to image formation (1 week)
2.Binary image processing (2 weeks)
3.Color and color segmentation (1 week)
4.Region segmentation (1 week)
5.Edge, contour, Hough transform and texture (2 weeks)
6.Motion and tracking (1 week)
7.3D geometry, calibration, pose and stereo (1 week)
8.Lighting and applications (1 week)
1.Implementation of connect component analysis
2.Implementation of morphological operators
3.Implementation of histogram equalization and lighting compensation
4.Implementation of color segmentation
5.Implementation of canny edge detector
6.Implementation of Hough transform.
7.Implementation of camera calibration
8.Implementation of 3D pose determination
Based on the machine problems, the course involves a final project to design a vision-based interface system, i.e., a "virtual gun," where the cursor moves with your fingertips. The idea is to locate and track a fingertip through a video sequence accurately and robustly. The project consists of three parts: (1) a working demo, (2) a 15-minute presentation, and (3) a 15-page report.
- PREREQUISITES : EECS 230
PREREQUISITES BY TOPIC :
Computer programming in C
- COURSE GOALS: The goal of this course is to provide students with a basic understanding of the fundamentals and applications of digital image analysis (or computer vision) techniques including 2-D and 3-D paradigms to solve real world applications.
COURSE OBJECTIVES: When a student completes this course, s/he should be able to:
1.Understand the projection geometry in the image formation process.
2.Design and implement computer programs to perform image feature extraction.
3.Design and implement computer programs for image segmentation.
4.Design and implement computer programs for motion analysis and tracking.
5.Understand the basic techniques and issues in 3-D computer vision.
6.Design and build a real vision-based interaction system.
Machine problems - 50%
Final project - 50%
- REQUIRED TEXT: None
READINGS : Papers from journals, conference proceedings, or book chapters will be assigned.
- REFERENCE TEXT: R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision , McGraw-Hill, Inc. 1995.
- ABET CONTENT CATEGORY: 100% Engineering (Design component).
- Prerequisites apply, see description
Add Consent: Department Consent Required
Overview of class
Class Materials (Required)
Class Materials (Suggested)
Current as of 05/03/13 12:45:16 PM