COMPUTER VISION (2/2 Credits)
Learning Outcomes:
On successful completion of this course, students will be able to: Describe various computational principles and standard image processing operators in computer vision; Explain the local features with their detectors and descriptors in computer vision; Employ various features to find the correspondence between images and perform recognition in computer vision; Build various image recognition system in computer vision.
Topics:
- Introduction to Computer Vision and Image Formation
- Image Processing I
- Image Processing II
- Feature Detection I
- Feature Detection II
- Image Matching
- Image Recognition
- Machine Learning for Image Recognition
- Instance Retrieval
- Category Recognition
- Object Detection
- Introduction to Computer Vision
- Statistical Descriptions of Image
- Image Processing
- Edge Detection
- Feature Detection
- Image Matching
- Quiz I
- Introduction to Image Recognition
- Image Retrieval
- Object Detection
- Review
- Final Project Presentation + Review
- Edge Detection
- Final Project Presentation
SOCIAL MEDIA
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