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Learning OpenCV 5 Computer Vision with Python - Fourth Edition
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Learning OpenCV 5 Computer Vision with Python - Fourth Edition
by Joseph Howse, Joe Minichino
Learning OpenCV 5 Computer Vision with Python - Fourth Edition
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning
5 Detecting and Recognizing Faces
6 Retrieving Images and Searching Using Image Descriptors
7 Building Custom Object Detectors
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Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning
Table of Contents
Learning OpenCV 5 Computer Vision with Python, Fourth Edition: Tackle tools, techniques, and algorithms for computer vision and machine learning
5 Detecting and Recognizing Faces
Technical requirements
Conceptualizing Haar cascades
Getting Haar cascade data
Using OpenCV to perform face detection
Performing face detection on a still image
Performing face detection on a video
Performing face recognition
Generating the data for face recognition
Choosing a face recognition algorithm
Loading the training data for face recognition
Performing face recognition with Eigenfaces
Performing face recognition with Fisherfaces
Performing face recognition with LBPH
Discarding results based on the confidence score
Swapping faces in infrared
Modifying the application's loop
Masking a copy operation
Summary
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6 Retrieving Images and Searching Using Image Descriptors
Technical requirements
Understanding types of feature detection and matching
Defining features
Detecting Harris corners
Detecting DoG features and extracting SIFT descriptors
Anatomy of a keypoint
Detecting Fast Hessian features and extracting SURF descriptors
Using ORB with FAST features and BRIEF descriptors
FAST
BRIEF
Brute-force matching
Matching a logo in two images
Filtering matches using K-Nearest Neighbors and the ratio test
Matching with FLANN
Finding homography with FLANN-based matches
A sample application – tattoo forensics
Saving image descriptors to file
Scanning for matches
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7 Building Custom Object Detectors
Technical requirements
Understanding HOG descriptors
Visualizing HOG
Using HOG to describe regions of an image
Understanding NMS
Understanding SVMs
Detecting people with HOG descriptors
Creating and training an object detector
Understanding BoW
Applying BoW to computer vision
Detecting cars
Combining an SVM with a sliding window
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