Computer Vision with OpenCV

  1. Object Detection and Recognition
    1. Template Matching
      1. Matching Methods
        1. Squared Difference
          1. Correlation Coefficient
            1. Normalized Methods
            2. Multi-scale Template Matching
              1. Result Interpretation
              2. Hough Transforms
                1. Hough Line Transform
                  1. Standard Hough Transform
                    1. Probabilistic Hough Transform
                      1. Parameter Space Mapping
                      2. Hough Circle Transform
                        1. Accumulator Array
                          1. Parameter Tuning
                            1. Multiple Circle Detection
                          2. Contour Analysis
                            1. Contour Detection
                              1. Retrieval Modes
                                1. Approximation Methods
                                  1. Hierarchy Information
                                  2. Contour Drawing and Visualization
                                    1. Contour Properties
                                      1. Moments Calculation
                                        1. Area Computation
                                          1. Perimeter Calculation
                                            1. Centroid Location
                                            2. Bounding Shapes
                                              1. Bounding Rectangle
                                                1. Minimum Enclosing Circle
                                                  1. Ellipse Fitting
                                                    1. Convex Hull
                                                    2. Shape Analysis
                                                      1. Aspect Ratio
                                                        1. Extent
                                                          1. Solidity
                                                            1. Equivalent Diameter
                                                          2. Cascade Classifiers
                                                            1. Haar Cascade Principles
                                                              1. Integral Images
                                                                1. Haar-like Features
                                                                  1. AdaBoost Training
                                                                    1. Cascade Structure
                                                                    2. Using Pre-trained Classifiers
                                                                      1. Face Detection Models
                                                                        1. Eye Detection Models
                                                                          1. Full Body Detection Models
                                                                          2. Detection Process
                                                                            1. detectMultiScale Function
                                                                              1. Scale Factor Parameter
                                                                                1. Minimum Neighbors Parameter
                                                                                  1. Size Constraints
                                                                                  2. Custom Classifier Training
                                                                                    1. Positive Sample Collection
                                                                                      1. Negative Sample Generation
                                                                                        1. Training Pipeline