Computer Vision Fundamentals
Implementation of some key concepts and the main algorithms of digital image processing and computer vision from scratch.

Auto Color Adjustment
Methods which provide color adjustment without input parameters.
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Bidimensional Discrete Cosine Transform
Overview and implementation of bidimensional discrete space cosine transform.
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Bidimensional Discrete Fourier Transform
Overview and implementation of bidimensional discrete space Fourier transform.
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Border Padding
Bidimensional image padding for spatial filtering and convolution.
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Color Models
A brief overview of the main color models with interactive visualization.
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Compositing Operators
Methods for combining and mixing images.
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Connectedelement Analysis
Find and label bidimensional subsets of connected elements.
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Discrete Convolution
Naive implementation of bidimensional discrete convolution.
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Discrete Correlation
Naive implementation of bidimensional discrete correlation.
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Grayscale conversion
Color image conversion methods from RGB to grayscale.
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Histogram Equalization
Histogram equalization concept and algorithm applied to digital image color processing.
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Image Stacking
Implementation of solution to image stacking and statistical blending.
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Python Image Libraries
Brief overview about some of the main python libraries which promote input and output of digital image files.
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Radon Transform
Overview and implementation of discrete Radon transform.
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Sobel operator
Sobel and gradient operation with spatial filtering.
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Thresholding
Methods for image binarization.
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Computer Vision Experiments
Practical experiments and applications of computer vision.

MNIST Classification
Digit classification using Shallow Neural Network and Convolutional Neural Network.
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Cifar10 Classification
Image classification using Convolutional Neural Network and Cifar10 dataset.
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YOLOv3 Object Detection
Object detection with YOLOv3 and OpenCV.
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Mathematical Foundations
Main mathematical concepts and numerical methods applied to computer vision.

Calculus  Fourier Series
Brief overview of Fourier series.
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Linear Algebra  Vectors
Linear Algebra topic about Vectors.
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Linear Algebra  Matrices
Linear Algebra topic about Matrices.
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Numerical Integration
Overview and implementation of some numerical methods for definite integration.
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Numerical Root Finding
Overview and implementation of some numerical methods for root finding.
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Dissimilarity Measure
Overview about dissimilarity and distance measure.
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Computer Graphics
Demonstrations and studies involving some quite important topics about computer graphics.

2D Transformation Matrices
Overview and application of bidimensional transformation matrices.
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3D Transformation Matrices
Overview and application of tridimensional transformation matrices.
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RaySphere Intersection
Implementation of raysphere intersection algorithm.
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RayTriangle Intersection
Implementation of raytriangle intersection algorithm.
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Digital Signal Processing
Implementation of key concepts and the main algorithms of digital signal processing.

Python Audio Libraries
Brief overview about some of the main python libraries which promote input and output of digital audio files.
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Instantaneous frequency
Analytical approach to continuous Instantaneous Frequency and Frequency Modulation.
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Signal Discontinuity [naive]
Naive solution to solve the frequency discontinuity between two concatenated signals.
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Sinusoidal periodic waveform
Overview about sinusoidal periodic waveform or sine wave function.
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Nonsinusoidal periodic waveforms
Overview about nonsinusoidal periodic waveforms.
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Noise colors
Overview and implementation of noise functions, focusing on their power spectrum.
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High Performance Computing
Practices over high performance computing subjects such as parallel computing, gpu programming, code optimization and others.

Basics [Numba]
Basic functions and operations using Numba and Python.
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Basics [NumExpr]
Basic functions and operations using NumExpr and Python.
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Basics [Cython]
Basic functions and operations using Cython and Python.
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Basics [F2PY]
Basic functions and operations using F2PY and Python.
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Visualization Tools
Practice and demonstration using the most popular data/scientific visualization tools and libraries.

Matplotlib 3D
Examples of 3D visualization using Matplotlib.
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Matplotlib Animation
Examples of animated visualization using Matplotlib.
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Matplotlib Charts
Examples of chart visualization using Matplotlib.
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Matplotlib Diagrams
Examples of diagram visualization using Matplotlib.
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Matplotlib Figures
Examples of figure visualization using Matplotlib.
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Plotly Charts
Examples of interactive chart visualization using Plotly.
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