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 2742302) as prescribed for IT · Semester 4 divides the course into 6 units, covering 38 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 (2742302)Unit 1 Introduction
- Image Processing
- Computer Vision and Computer Graphics
- What is Computer Vision - Low-level
- Overview of Diverse Computer Vision Applications: Document Image Analysis
- Object Recognition
- Medical Image Analysis
- Content-Based Image Retrieval
- Video Data Processing
- Virtual Reality and Augmented Reality
Unit 2 Image Formation Models
- Monocular imaging system
- Radiosity: The ‘Physics’ of Image Formation
- color etc, Orthographic & Perspective Projection
- • Camera model and Camera calibration
- Binocular imaging systems
- Multiple views geometry
- Structure determination
- shape from shading
- Photometric Stereo
- Depth from Defocus
- Construction of 3D model from images
Unit 3 Image Processing and Feature Extraction
- Image preprocessing
- Image representations (continuous and discrete)
- Edge detection
Unit 4 Motion Estimation
- Regularization theory
- Optical computation
- Stereo Vision
- Motion estimation
- Structure from motion
Unit 5 Shape Representation and Segmentation
- Contour based representation
- Region based representation
- Deformable curves and surfaces
- Snakes and active contours
- Level set representations
- Fourier and wavelet descriptors
- Medial representations
- Multiresolution analysis
Unit 6 Object recognition
- Hough transforms and other simple object recognition methods
- Shape correspondence and shape matching
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