1. Introduction to Course and Instructor FREE CHAPTER

• Introduction to the Course
• Introduction to Instructor
• About AI Sciences
• Course Outline (Optional)
• Computer Vision Applications
• Final Project

2. Introduction to Images

• Grayscale Image
• Quiz (Grayscale Image)
• Solution (Grayscale Image)
• Grayscale Spectrum
• Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python
• Quiz (Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python)
• Solution (Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python)
• Reading, Manipulating, and Saving Grayscale Image using OpenCV Python
• Introduction to RGB Images
• Quiz (Introduction to RGB Images)
• Solution (Introduction to RGB Images)
• RGB Color Images Matplotlib and OpenCV
• Quiz (RGB Color Images Matplotlib and OpenCV)
• Solution (RGB Color Images Matplotlib and OpenCV)
• RGB to HSV theory and Algorithm
• RGB to HSV Algorithm Implementation using Python
• Quiz (RGB to HSV Algorithm Implementation using Python)
• Solution (RGB to HSV Algorithm Implementation using Python)
• Red Rose Extraction or Segmentation using HSV Python
• Quiz (Red Rose Extraction or Segmentation using HSV Python)
• Solution (Red Rose Extraction or Segmentation using HSV Python)
• Hyper Spectral Images

3. 2D Scaling Transformations

• Introduction to Geometric Transformations
• Scaling Example in OpenCV
• Quiz (Scaling Example in OpenCV)
• Solution (Scaling Example in OpenCV)
• Scaling in Real Space
• Quiz (Scaling in Real Space)
• Solution (Scaling in Real Space)
• Linear Transformation Explained
• Scaling is a Linear Transformation
• Scaling as a Matrix Multiplication Example Python
• Quiz (Scaling as a Matrix Multiplication Example Python)
• Solution (Scaling as a Matrix Multiplication Example Python)
• Image Coordinate System
• Image Copy and Flipping Vertically
• Quiz 01 (Image Copy and Flipping Vertically)
• Solution 01 (Image Copy and Flipping Vertically)
• Quiz 02 (Image Copy and Flipping Vertically)
• Solution 02 (Image Copy and Flipping Vertically)
• Continuous Coordinates
• Saturations and Holes
• Image Doubling and Holes using Python
• Inverse Scaling and Quiz
• Solution and Nearest Neighbor Interpolation
• Inverse Scaling Python
• Quiz 01 (Inverse Scaling Python)
• Solution 01 (Inverse Scaling Python)
• Quiz 02 (Inverse Scaling Python)
• Solution 02 (Inverse Scaling Python)
• Nearest Neighbor Interpolation
• Weighted Average Versus Simple Average
• Bilinear Interpolation
• Bilinear Interpolation Implementation in Python
• Scaling Transformation with Bilinear Interpolation Implementation
• Scaling Transformation Algorithm(Recap)
• Exam
• Exam Solution 01
• Exam Solution 02

4. 2D Geometric Transformations

• Rotation Introduction
• Optional Rotation is Linear Transform Proof
• Rotation can Result Negative Coordinates (Problem)
• Rotation Computing Width and Hight of Resultant Image(Solution)
• Rotation Index Shifting
• Quiz (Rotation Index Shifting)
• Solution (Rotation Index Shifting)
• Rotation Implementation Complete
• Quiz (Rotation Implementation Complete)
• Solution (Rotation Implementation Complete)
• Rotation Implementation (Good Coding Practice)
• Quiz: Rotation Implementation (Good Coding Practice)
• Solution: Rotation Implementation (Good Coding Practice)
• Reflection Introduction
• Quiz (Reflection Introduction)
• Solution (Reflection Introduction)
• Reflection Implementation
• Quiz 01 (Reflection Implementation)
• Solution 01 (Reflection Implementation)
• Quiz 02 (Reflection Implementation)
• Solution 02 (Reflection Implementation)
• Shear Introduction
• Shear Implementation and Quiz
• Translation and its Nonlinearity (Problem)
• Homogeneous Coordinates
• Translation as a Matrix (Solution)
• Homogeneous Representations of All Transformations
• Affine Transformation Implementation
• Quiz (Affine Transformation Implementation)
• Rotation about Any Point Theory
• Rotation about Any Point Implementation
• Reflection about a Line Quiz
• Solution (Reflection about a Line)
• Transformation Matrix Properties
• Transformation Matrix Properties Implementation
• Affine Transformation Hierarchy
• Optional Affine Transformation SVD
• Projective Transformation Homography
• Projective Transformation Implementation
• Projective Warping Algorithm

5. Geometric Transformation Estimation (Panorama)

• Goal
• Affine Transformation Estimation Introduction
• Quiz (Affine Transformation Estimation Introduction)
• Solution (Affine Transformation Estimation Introduction)
• Affine Transformation Estimation Points Correspondences
• Estimation Points Marking using Python and Quiz
• Affine Transformation Min Number of Points Needed
• Affine Transformation Estimation using Python
• Affine Transformation Estimation Verification using Python
• Affine Transformation Estimation with More Than Three Points
• Quiz (Affine Transformation Estimation with More Than Three Points)
• Solution (Affine Transformation Estimation with More Than Three Points)
• Affine Transformation Estimation with More Than Three Points Implementation
• Quiz (Affine Transformation Estimation with More Than Three Points Implementation)
• Solution (Affine Transformation Estimation with More Than Three Points Implementation)
• Optional Affine Transformation Estimation with LeastSquared
• Projective Transformation Estimation Introduction
• Projective Transformation Estimation First Implementation having Bug
• Projective Transformation Estimation Reason of the Bug
• Projective Transformation Estimation Removing Scale Factor
• Projective Transformation Estimation DLT
• Projective Transformation Estimation DLT Nullspace and Why Four Points
• Projective Transformation Estimation DLT Nullspace Implementation
• DLT Implementation
• Quiz (DLT Implementation)
• Panorama Stitching
• Panorama Stitching Implementation in OpenCV
• How Projective Transformation Helps in Panorama

6. Binary Morphology

• Binary Images Theory
• Binary Images Python
• Structuring Element Kernel and Sliding Window Theory
• Structuring Element Python
• Erosion Theory
• Quiz 01 (Erosion Theory)
• Solution 01 (Erosion Theory)
• Quiz 02 (Erosion Theory)
• Solution 02 (Erosion Theory)
• Erosion Python
• Dilation Theory
• Quiz 01 (Dilation Theory)
• Solution 01 (Dilation Theory)
• Quiz 02 (Dilation Theory)
• Solution 02 (Dilation Theory)
• Dilation Python
• Opening Theory
• Opening Python
• Closing Theory
• Closing Python
• Gradient Morphology
• Gradient Morphology Python
• Top Hat and Black Hat

7. Image Filtering

• Image Blurring 01
• Image Blurring 02
• General Image Filtering
• Convolution
• Naive Edge Detection
• Image Sharpening
• Quiz (Image Sharpening)
• Solution (Image Sharpening)
• Implementation of Image Blurring, Edge Detection, and Image Sharpening in Python
• Low Pass, High Pass, and Band Pass Filters

8. Canny Edge Detector

• Canny Edge Detector Algorithm Introduction
• Canny Edge Detector OpenCV
• Quiz (Canny Edge Detector OpenCV)
• Solution (Canny Edge Detector OpenCV)
• Gaussian Filter Introduction
• Gaussian Filter to Mask Computation
• Gaussian Filter Window Size
• Gaussian Filter Implementation
• Quiz (Gaussian Filter Implementation)
• Solution (Gaussian Filter Implementation)
• Gaussian Filter Smoothing Implementation
• Quiz (Gaussian Filter Smoothing Implementation)
• Solution (Gaussian Filter Smoothing Implementation)
• Image Gradients Theory
• Image Gradients Implementation
• Image Gradients Implementation Datatype Bug
• Derivative of Gaussian
• Derivative of Gaussian Expression
• Derivative of Gaussian Implementation
• Applying DOG Filters
• Gradient Vector
• Gradient Magnitude and Gradient Direction
• Non-Maxima Suppression
• Gradient Direction Quantization
• Quiz (Gradient Direction Quantization)
• Solution (Gradient Direction Quantization)
• Gradient Direction Quantization Implementation
• Gradient Direction Quantization Implementation Better Way
• NMS Implementation
• Quiz 01 (NMS Implementation)
• Solution 01 (NMS Implementation)
• Quiz 02 (NMS Implementation)
• Solution 02 (NMS Implementation)
• Last Step Thresholding
• Hysteresis Thresholding
• Hysteresis Thresholding Implementation

9. Shape Detection

• Shape Detection Introduction
• Why Edge Detection is not Enough
• RANSAC Introduction
• RANSAC For Lines Coordinate Arrays
• RANSAC for Lines Sampling Points Randomly Implementation
• Quiz (RANSAC for Lines Sampling Points Randomly Implementation)
• Solution (RANSAC for Lines Sampling Points Randomly Implementation)
• RANSAC for Lines - Fitting Line with Two Points
• RANSAC for Lines - Fitting Line with Two Points Implementation
• Quiz (RANSAC for Lines Fitting Line with Two Points Implementation)
• Solution (RANSAC for Lines Fitting Line with Two Points Implementation)
• RANSAC for Lines Computing Consistency Score
• RANSAC For Lines Computing Consistency Score Implementation
• RANSAC for Lines Implementation
• RANSAC for Lines Implementation Test on Real Image
• Drawback
• RANSAC for Lines Implementation Test on Real Image Drawing and Quiz
• RANSAC for Circles
• RANSAC for Circles Consistency Score
• RANSAC for Circles Implementation
• RANSAC for Circles Implementation Real Image
• Drawback
• RANSAC for Circles Implementation Real Image Drawing
• RANSAC General
• RANSAC Quiz
• RANSAC Quiz Solution

10. Shape Detection Hough Transform

• Hough Transform Introduction
• Hough Transform as Voting
• Hough Transform as Voting Loop
• Hough Transform Polar Representation
• Hough Transform Polar Representation Benefits
• Hough Transform Polar Representation Implementation
• Hough Transform Lines Implementation Real Image
• Hough Transform Lines Parameters Conversion
• Hough Transform Lines Drawing
• Solution (Hough Transform Lines Drawing)
• Hough Transform Fast Version
• Hough Transform Circles
• Hough Transform Circles Implementation
• Hough Transform Circles Implementation Drawing
• Solution (Hough Transform Circles Implementation Drawing)

11. Corner Detection

• Corner Definition
• Why Corner
• Corner Measure
• SSD
• Why SSD to be Muted Somewhere
• Corner Detection Implementation 01
• Corner Detection Implementation 02
• Corner Detection Implementation 03
• Moravec Corner Detector
• Scale Space
• Infinite Directions Towards Harris Corner Detector
• Harris Corner Detector 01
• Harris Corner Detector 02
• Harris Corner Detector 03
• Harris Corner Detector 04 Structure Tensor
• Harris Corner Detector 05 Final Expression
• Harris Corner Detector Implementation Speedup Convolution
• Harris Corner Detector Implementation 01
• Harris Corner Detector Implementation 02
• Harris Corner Detector as Edge Detector

12. Automatic Panorama SIFT

• Point Correspondence Introduction
• Point Drawing Implementation
• Scale and Orientation Alignment
• SIFT and HOG
• Points Matching

13. Object Detection

• Introduction to Object Detection
• Classification Pipeline
• Sliding Window Implementation
• Shift Scale Rotation Invariance
• Person Detection
• HOG Features
• Hand Engineering Versus CNNs
• Implementation
• Activity

14. YOLO Object Detector

• CNNS Introduction
• Face Detection Implementation
• YOLO Implementation
• YOLO Image Classification Revisited
• YOLO Sliding Window Object Localization
• YOLO Sliding Window Efficient Implementation
• YOLO Introduction
• YOLO Training Data Generation
• YOLO Anchor Boxes
• YOLO Algorithm
• YOLO Non-Maxima Suppression
• YOLO RCNN

15. Motion

• Optical Flow
• BC Assumption
• Optical Flow Derivation

16. Object Tracking

• Tracking by Detection
• Tracking by Detection Motion Model Assumption
• Tracking KLT TLD
• Single Object Tracking
• Multiple Object Tracking
• WebCam and Saving Annotations of Multiple Object Tracking

17. 3D Reconstruction

• 3d Reconstruction Introduction
• 3d Motion Capture
• Camera
• Camera Matrix
• Triangulation
• Camera Matrix Estimation
• Mocap Revisited

18. Smart CCTV Project

• Introduction to the Project
• Introduction to Data
• Reading a Video File
• Change Detection Frame Differencing
• Change Detection Frame Differencing Implementation
• Change Detection Background Subtraction
• Change Detection Background Subtraction MOG
• Denoising using Morphology
• Connected Components
• Connected Components Filtering
• Tracking Change
• Saving Segments
• Saving and Viewing Segments
• Saving and Viewing Segments with Object Detection
• Applications