CVML Programming Exercises

Υou can improve your programming knowledge on Computer Vision, Machine Learning, 3D Imaging, Neural Networs, Signal and Syatems and Image/Video Processing topics through programming exercises using OpenCV, PyTorch and CUDA on the following topics:

3D Imaging

1. 3D Image Processing
2. 3D Point Cloud Registration
3. Topological and Geometrical Features
   1. 3D Connected Component Labeling
   2. 3D Euler Number
   3. 3D Bounding Box
   4. 3D Surface Detection

Computer Vision (CV)

1. Introduction to OpenCV Programming
2. 2D Image Registration
3. Computational Geometry
4. Edge Detection 
5. Region Segmentation

Image Processing

1. CUDA programming of 2D convolution algorithms
2. Digital Image Filtering Using OpenCV
3. Histogram Calculation and Image Filtering
4. Image Noise
   1. Gaussian Noise
   2. Salt and Pepper Noise
   3. White Multiplicative Noise
5. Image Processing
   1. Conservative Smoothing
   2. Gaussian Smoothing
   3. Histogram Equalization
   4. Image Halftoning
      1. Graylevel Binary Fonts
      2. Pseudorandom Thresholding
   5. Image Interpolation
      1. Image Decimation
      2. Image Zooming
      3. Zero-Order Hold Interpolation
   6. Median Filters
      1. Multistage Median Filter
      2. Running Median Filter
      3. Standard Median Filter
      4. Weighted Median Filter
   7. Moving Average Filter
   8. Running Max,min Filter

Neural Networks. Deep Learning

1. CNN Image classification
2. PyTorch for deep object detection

Signals and Systems

1. 1D Convolution

Machine Learning (ML)

1. Data Clustering
   1. Data Clustering with k-Means algorithm
   2. Data Clustering with Mean Shift algorithm

Video Processing and Analysis

1. Video Processing 
   1. Video frame histogram computation
   2. Video Color Parameter Editing
   3. Video frame frequency Spectrum
   4. Video Compression with DCT
2. Video Analysis
   1. Edge Detection in video
   2. Object tracking

You will be provided the programming exercise solutions to check your progress.