Computer Vision
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Follow on Instagram for UpdatesComputer Vision Syllabus — Unit-wise Content
The official GTU curriculum for Computer Vision (subject code ME01026021) as prescribed for EAC( · Semester 1 divides the course into 6 units, covering 37 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 (ME01026021)Unit 1 Image Formation Models
- Monocular imaging system • Orthographic & Perspective Projection • Camera model and Camera calibration • Binocular imaging systems
- Binocular Stereopsis: Camera and Epipolar Geometry
- Rectification, DLT, RANSAC
- 3-D reconstruction framework
- Auto- calibration
- Stereo vision
Unit 2 Feature Extraction
- Image representations (continuous and discrete) • Edge detection
- Edge linking
- corner detection
- binary shape analysis
- boundary pattern analysis
- circle and ellipse detection
- Light at Surfaces
- Phong Model
- Reflectance Map
- Albedo estimation
- Photometric Stereo
- Use of Surface Smoothness Constraint
- Shape from Texture
- motion and edges
Unit 3 Shape Representation and Segmentation
- Deformable curves and surfaces • Snakes and active contours • Level set representations • Fourier and wavelet descriptors • Medial representations • Multi- resolution analysis
- Region Growing
- Edge Based approaches to segmentation
- Texture Segmentation
Unit 4 Motion Detection and Estimation
- Regularization theory • Optical computation • Stereo Vision • Motion estimation
- Background Subtraction and Modelling
- Optical Flow, KLT, SpatioTemporal Analysis
- Dynamic Stereo
- Motion parameter estimation • Structure from motion
- Motion Tracking in Video
Unit 5 Object recognition
- Hough transforms and other simple object recognition methods • Shape correspondence and shape matching • Principal component analysis • Shape priors for recognition
Unit 6 Applications of Computer Vision
- Automated Visual Inspection
- Inspection of Cereal Grains
- In-Vehicle Vision Systems
- Activity Recognition
- computational photography
- stitching and document processing
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