Computer Vision
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Computer Vision Syllabus — Unit-wise Content
The official GTU curriculum for Computer Vision (subject code 3171614) as prescribed for Information Technology · Semester 7 divides the course into 8 units, covering 44 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 (3171614)Unit 1 Overview of computer vision and its applications
- Image Formation and Representation: Imaging geometry
- cameras and Projections
- rigid and affine transformation
Unit 2 Image Processing
- Pixel transforms
- color transforms
- histogram processing
- histogram equalization
- Fourier transformation and its applications in sharpening
- blurring and noise removal
Unit 3 Feature detection
- edge detection
- corner detection
- line and curve detection
- active contours
- SIFT and HOG descriptors
- shape context descriptors
- Morphological operations
Unit 4 Segmentation
- Active contours
- split & merge
- region splitting
- region merging
- graph-based segmentation
- mean shift and model finding
- Normalized cut
Unit 5 Camera calibration
- camera models
- intrinsic and extrinsic parameters
- radial lens distortion
- direct parameter calibration
- camera parameters from projection matrices
- weak perspective
- affine, and perspective camera models
Unit 6 Motion representation
- the motion field of rigid objects
- motion parallax
- optical flow
- the image brightness constancy equation
- affine flow
- differential techniques
- feature-based techniques
- regularization and robust estimation
Unit 7 Motion tracking
- statistical filtering
- iterated estimation
- observability and linear systems
- the Kalman filter
Unit 8 Object recognition and shape representation
- appearance-based methods
- image eigenspaces 4 Subject Code: 3171614 w.e.f
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