Computer Vision with OpenCV

5.

Feature Detection and Description

5.1.

Feature Concepts

5.1.1.

Corner Features

5.1.2.

5.1.3.

5.1.4.

Feature Quality Metrics

5.1.4.1.

5.1.4.2.

Distinctiveness

5.1.4.3.

Invariance Properties

5.2.

Corner Detection Algorithms

5.2.1.

Harris Corner Detection

5.2.1.1.

Response Function Calculation

5.2.1.2.

Parameter Tuning

5.2.1.3.

Corner Response Thresholding

5.2.2.

Shi-Tomasi Corner Detection

5.2.2.1.

Minimum Eigenvalue Method

5.2.2.2.

Quality Level Parameter

5.3.

Modern Feature Detectors

5.3.1.

5.3.1.1.

Scale-Space Extrema Detection

5.3.1.2.

Keypoint Localization

5.3.1.3.

Orientation Assignment

5.3.1.4.

Descriptor Generation

5.3.2.

5.3.2.1.

Hessian Matrix-based Detection

5.3.2.2.

Descriptor Computation

5.3.3.

5.3.3.1.

FAST Keypoint Detection

5.3.3.2.

BRIEF Descriptor

5.3.3.3.

Orientation Compensation

5.3.4.

AKAZE Algorithm

5.3.5.

5.3.6.

BRIEF Descriptor

5.4.

Feature Matching

5.4.1.

Brute-Force Matcher

5.4.1.1.

Distance Metrics

5.4.1.2.

Cross-Check Filtering

5.4.2.

FLANN-Based Matcher

5.4.2.1.

5.4.2.2.

Search Parameters

5.4.3.

Match Filtering Techniques

5.4.3.1.

Distance Ratio Test

5.4.3.2.

Geometric Verification

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6. Object Detection and Recognition