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Viewing: BME 6885 : Computer Vision

Last approved: Fri, 03 Jun 2016 04:16:11 GMT

Last edit: Thu, 02 Jun 2016 15:35:14 GMT

Catalog Pages referencing this course
School of Engineering and Applied Sciences
Biomedical Engineering (BME)
BME
6885
Computer Vision
Computer Vision
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
Yes
ECE 6885 - Computer Vision
BME 6840 or ECE 6840 or equivalent
Corequisites

20

Frequency of Offering
Every Year
Term(s) Offered
Fall
Spring
Summer
Are there Course Equivalents?
Yes
 
ECE 6885 - Computer Vision
No
Fee Type


No


Image processing; edge detection, segmentation, local features, shape and region description in 2D and 3D. Insights from human vision studies. Representation for vision: object models, synthetic images, matching, gaps, algorithms. Interference, production system, syntactic networks. Planning spatial reasoning for robot vision.
1. Demonstrate an understanding of image formation (camera models, light and shading, color). 2. Learn techniques of image acquisition, filtering, feature extraction, and texture and shape description. 3. Use multiple images for stereopsis (fusion, robot navigation), understand perspective and structure from motion. 4. Understand and use segmentation and grouping, tracking of moving objects, probabilistic models. 5. Incorporate insights from human vision: Gabor filtering, measures of salience and conspicuity; apply to complex scenes. 6. Demonstrate knowledge of registration methods, use image data for classifying images and recognizing objects. Assess robustness. 7. Become familiar with advanced topics: recognition of faces, description of human activity, image search and retrieval.
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Course Attribute


Key: 10159