Machine Vision System
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Machine Vision System Syllabus — Unit-wise Content
The official GTU curriculum for Machine Vision System (subject code 3164102) as prescribed for Robotics · Semester 6 divides the course into 5 units, covering 25 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3164102)Unit 1 Vision System
- Basic Components – Elements of visual perception
- Lenses: Pinhole cameras
- Gaussian Optics- cameras-computer interfaces
Unit 2 Vision Algorithms
- Fundamental Data Structures: Images
- Sub-pixel Precise Contours – Image Enhancement : Gray value transformations
- image smoothing
- Fourier Transform – Geometric Transformation - Image segmentation – Segmentation of contours
- circles and ellipses – Camera calibration – Stereo Reconstruction
Unit 3 Object Recognition
- Object recognition
- Approaches to Object Recognition
- Recognition by combination of views – objects with sharp edges
- using two views only
- using a single view
- use of dept values
Unit 4 Applications
- Transforming sensor reading
- Mapping Sonar Data
- Aligning laser scan measurements - Vision and Tracking: Following the road
- Iconic image processing
- Multiscale image processing
- Video Tracking - Learning landmarks: Landmark spatiograms
- K-means Clustering
- EM Clustering
Unit 5 Robot Vision
- Basic introduction to Robotic operating System (ROS) - Real and Simulated Robots - Introduction to OpenCV
- Open NI and PCL, installing and testing ROS camera Drivers
- ROS to OpenCV - The cv_bridge Package. 9 Subject Code: 3164102 w.e.f
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