Spring 2013 textbook list
The Spring 2013 ECE textbook list is available online for students.
Current Prerequisites & Course Offering
For current prerequisites for a particular course, and to view course offerings for a particular semester, see the Virginia Tech Course Timetables.
ECE 5554 Theory and Design of Computer Vision Systems (3C)
Analysis of digital images and three-dimensional scenes. Image acquisition, representation of two- and three-dimensional shapes, visual cues for range estimation. Image filtering and histogram-based analysis for image enhancement, noise suppression, edge detection, region detection, and image segmentation. Introduction to such topics as visual texture, stereo vision, structured-light ranging, and motion analysis.
What is the reason for this course?
Computers of the future will require the ability to interact more readily with the three-dimensional world. Although the ability to "see" is easy for humans, it has proven remarkably difficult to develop vision-related algorithms for a machine. This course introduces issues and approaches that are needed in this area. Applications of computer vision include autonomous vehicle navigation, industrial automation, robotics, content-based search in image databases, face and gesture recognition, and aids for the seeing-impaired.
Typically offered: Fall. Program Area: Computers.
Prerequisites: Prerequisites: STAT 4714.
Why are these prerequisites or corequisites required?
The course assumes knowledge of basic probability theory, as introduced in STAT 4714.
Department Syllabus Information:
Major Measurable Learning Objectives:- select imaging devices and illumination sources for a given application;
- design and implement algorithms that perform edge detection, noise suppression, image thresholding, histogram analysis, region detection, and region labeling;
- compute edge and region properties that can be used for higher-level analysis;
- analyze problems that involve perspective projection or orthographic projection; and
- assess the performance of vision-based range- and shape-estimation systems.
| Course Topics | |
|---|---|
| Topic | Percentage |
| Image formation, acquisition, and representation | 15% |
| Image statistics, histogram analysis, thresholding | 15% |
| Region detection and labeling, region properties, thinning | 15% |
| Window-based operations, smoothing, edge detection | 15% |
| Range and shape estimation using such cues as texture, stereo disparity, motion, and defocus blur | 20% |
| Shape representation, curvature analysis | 10% |
| Interpretation of line drawings | 10% |