Computer Vision and Application
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Follow on Instagram for UpdatesComputer Vision and Application Syllabus — Unit-wise Content
The official GTU curriculum for Computer Vision and Application (subject code ME02004041) as prescribed for EACE · Semester 2 divides the course into 6 units, covering 14 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 (ME02004041)Unit 1 Overview of computer vision and its applications
- Image Formation and Representation: Imaging geometry
- cameras and Projections
- rigid and affine transformation
Unit 2 Overview, computer imaging systems, lenses, Image formation and
- Image analysis
- pre-processing and Binary image analysis 8 12
Unit 5 Feature extraction, shape, histogram, color, spectral, texture, using CV IP
- Feature analysis
- feature vectors
- distance /similarity measures
- data preprocessing
Unit 6 Pattern Analysis
- Clustering: K-Means
- Mixture of Gaussians Classification: Discriminant Function
- Semi- supervised Classifiers: Bayes, KNN, ANN models
- Dimensionality Reduction: PCA, LDA, ICA, and Non-parametric methods
Unit 7 Recent trends in Activity Recognition, computational photography,
- Biometrics 4 8 Subject Code : ME02004041 Subject Name : Computer Vision and Application
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