Index

A

• adaptive thresholding
  • about / Adaptive thresholding
  • adaptive method / Adaptive thresholding
  • block size / Adaptive thresholding
  • C / Adaptive thresholding
• affine transformation
  • about / Basic 2D transformations
• Android NDK
  • download link / Setting up Android NDK
• automatic panoramic straightening
  • about / Automatic panoramic straightening

B

• basic 2D transformations
  • about / Basic 2D transformations
  • translation / Basic 2D transformations
  • affine / Basic 2D transformations
  • rigid / Basic 2D transformations
  • projective / Basic 2D transformations
• best practices
  • about / Best practices
  • images, handling in Android / Handling images in Android
  • data, handling between multiple activities / Handling data between multiple activities
• BRIEF
  • about / rBRIEF – Rotation-aware BRIEF
  • steered BRIEF / Steered BRIEF
  • variance / Variance and correlation
  • correlation / Variance and correlation
• BRISK
  • about / Binary Robust Invariant Scalable Keypoints
  • scale-space keypoint detection / Scale-space keypoint detection
  • keypoint description / Keypoint description
  • in OpenCV / BRISK In OpenCV
• bundle adjustment
  • about / Bundle adjustment

C

• Canny Edge detection
  • about / The Canny Edge detector
  • image, smoothing / The Canny Edge detector
  • gradient of image, calculating / The Canny Edge detector
  • non-maximal supression / The Canny Edge detector
  • edge selection, through hysteresis thresholding / The Canny Edge detector
• Canny Edge detector
  • about / The Canny Edge detector
  • reference / The Canny Edge detector
• cascade classifiers
  • about / An introduction to cascade classifiers
  • Haar cascades / Haar cascades
  • LBP cascades / LBP cascades
  • used, for face detection / Face detection using the cascade classifier
• cautions, for building application
  • memory leaks / Best practices
  • duplicate data / Best practices
  • network usage / Best practices
  • limited computational capacity / Best practices
• Contour detection
  • implementation / Contours
• Contours
  • about / Contours
  • reference, for hierarchies / Contours
• custom kernels
  • creating / Creating custom kernels

D

• data, handling between multiple activities
  • about / Handling data between multiple activities
  • data, transferring via Intent / Transferring data via Intent
  • static fields, using / Using static fields
  • database, using / Using a database or a file
  • file, using / Using a database or a file
• Difference of Gaussian (DoG) / Scale-space extrema detection
• Difference of Gaussian technique
  • about / The Difference of Gaussian technique
• dilation
  • about / Dilation
  • applying / Dilation
• distance between vectors
  • defining / OCR using k-nearest neighbors
• document scanning app
  • developing / Let's begin
  • algorithm / The algorithm
  • implementing, on Android / Implementing on Android

E

• Edge detection and Corner detection
  • about / Edge and Corner detection
  • Difference of Gaussian (DoG) technique / The Difference of Gaussian technique
  • Canny Edge detector / The Canny Edge detector
  • Sobel operator / The Sobel operator
  • Harris Corner detection / Harris Corner detection
• erosion
  • about / Erosion
  • applying / Erosion
• errors, troubleshooting
  • about / Troubleshooting errors
  • permission errors / Permission errors
  • code, debugging with Logcat / Debugging code using Logcat

F

• face detection
  • performing, cascade classifier used / Face detection using the cascade classifier
• FAST
  • about / oFAST – FAST keypoint orientation
  • detector / FAST detector
  • orientation, by intensity centroid / Orientation by intensity centroid
• fast Hessian detector / SURF detector
• feature description
  • about / What are features?
• feature detection
  • about / What are features?
• features
  • about / What are features?
• Features App
  • creating / Creating our application
• FLANN
  • about / FLANN based matcher
• FREAK
  • about / Fast Retina Keypoint
  • retinal sampling pattern / A retinal sampling pattern
  • coarse-to-fine descriptor / A coarse-to-fine descriptor
  • saccadic search / Saccadic search
  • orientation / Orientation
  • in OpenCV / FREAK in OpenCV

G

• gain compensation
  • about / Gain compensation
• Gaussian blur
  • about / The Gaussian blur method
• GaussianBlur
  • about / The Gaussian blur method
• Gaussian kernel
  • about / The Gaussian blur method
  • reference / The Gaussian blur method
• Gaussian pyramid
  • about / Gaussian pyramids
  • creating, in OpenCV / Gaussian and Laplacian pyramids in OpenCV
• global motion estimation
  • about / Global motion estimation

H

• Haar cascades
  • about / Haar cascades
• Haar cascades for smiles
  • reference / Project – Happy Camera
• Happy Camera project
  • about / Project – Happy Camera
  • smile detector, adding / Project – Happy Camera
  • faces and smiles, correlating / Project – Happy Camera
  • happy images, tagging / Project – Happy Camera
  • image, saving / Project – Happy Camera
• Harris Corner detection
  • about / Harris Corner detection
  • implementing / Harris Corner detection
• Harris corner detector
  • about / Harris Corner detection
  • reference / Harris Corner detection
  / Keypoint localization
• Hessian matrix / Keypoint localization
• Histogram of Oriented Gradients (HOG) descriptors
  • about / HOG descriptors
  • working / HOG descriptors
  • gradient, computing / HOG descriptors
  • orientation binning / HOG descriptors
  • cells, combining to form blocks / HOG descriptors
  • classifier, building / HOG descriptors
  • using / HOG descriptors
• Hough circles
  • about / Hough circles
  • implementation / Hough circles
• Hough lines
  • about / Hough lines
• Hough transformations
  • about / Hough transformations
  • Hough lines / Hough lines
  • Hough circles / Hough circles

I

• illumination dependence / Keypoint descriptor
• image matching
  • about / Image matching
  • homography estimation, RANSAC used / Homography estimation using RANSAC
  • verification, using probabilistic model / Verification of image matches using a probabilistic model
• image pyramids
  • about / The Lucas and Kanade method, Image pyramids
  • reduce operation / Image pyramids
  • expand operation / Image pyramids
  • Gaussian pyramid / Gaussian pyramids
  • Laplacian pyramids / Laplacian pyramids
• images
  • effects, applying / Getting started
  • storing, in OpenCV / Storing images in OpenCV
• images, handling in Android
  • about / Handling images in Android
  • images, loading / Loading images
  • images, processing / Processing images
• image stitching
  • about / Image stitching
  • performing / Image stitching
  • feature detection / Feature detection and matching
  • image matching / Image matching
  • bundle adjustment / Bundle adjustment
  • automatic panoramic straightening / Automatic panoramic straightening
  • gain compensation / Gain compensation
  • multi-band blending / Multi-band blending
  • OpenCV, used / Image stitching using OpenCV
  • implementing / Image stitching using OpenCV
  • Android NDK, setting up / Setting up Android NDK
  • layout / The layout and Java code
  • Java code, writing / The layout and Java code
  • C++ code / The C++ code
• integral images
  • reference / Haar cascades
• Intent class / Transferring data via Intent

K

• k-nearest neighbors (KNN)
  • about / Optical Character Recognition, OCR using k-nearest neighbors
• Kanade-Lucas-Tomasi (KLT) tracker
  • about / The Kanade-Lucas-Tomasi tracker
  • implementing / The Kanade-Lucas-Tomasi tracker
  • implementing, on OpenCV / Checking out the KLT tracker on OpenCV
• keypoint description
  • about / Keypoint description
  • sampling pattern and rotation estimation / Sampling pattern and rotation estimation
  • descriptor, building / Building the descriptor

L

• Laplacian pyramids
  • about / Laplacian pyramids
  • creating, in OpenCV / Gaussian and Laplacian pyramids in OpenCV
• Least Square Error / The Lucas and Kanade method
• linear filtering
  • reference / Linear filters in OpenCV
• linear filters
  • about / Linear filters in OpenCV
  • mean filter / The mean blur method
  • Gaussian blur / The Gaussian blur method
  • median blur / The median blur method
  • custom kernels, creating / Creating custom kernels
  • morphological operations / Morphological operations
  • thresholding / Thresholding
  • adaptive thresholding / Adaptive thresholding
• Local Binary Patterns (LBP) cascades
  • about / LBP cascades
• Logcat
  • reference / Debugging code using Logcat
• Log class
  • reference / Debugging code using Logcat

M

• Mat
  • about / Storing images in OpenCV
• matching features
  • about / Matching features and detecting objects
  • brute-force matcher / Brute-force matcher
  • FLANN based matcher / FLANN based matcher
  • points, matching / Matching the points
  • objects, detecting / Detecting objects
• mean filter
  • about / The mean blur method
  • applying / The mean blur method
• median blur
  • about / The median blur method
  • applying / The median blur method
• menus in Android
  • reference / Creating our application
• MNIST database
  • URL / Handling the training data
  • about / Handling the training data
• MNIST training data
  • reference links / Handling the training data
• morphological operations
  • about / Morphological operations
  • dilation / Dilation
  • erosion / Erosion
• multi-band blending
  • about / Multi-band blending

O

• OCR, using k-nearest neighbors
  • about / OCR using k-nearest neighbors
  • camera application, building / Making a camera application
  • training data, handling / Handling the training data
  • digits, recognizing / Recognizing digits
• oFAST
  • about / oFAST – FAST keypoint orientation
• OpenCV
  • about / Setting up OpenCV
  • setting up / Setting up OpenCV
  • reference / Storing images in OpenCV
  • linear filters / Linear filters in OpenCV
• OpenCV4Android SDK
  • URL / Setting up OpenCV
• Optical Character Recognition (OCR)
  • about / Optical Character Recognition
  • k-nearest neighbors, used / OCR using k-nearest neighbors
  • Support Vector Machines (SVMs), used / OCR using Support Vector Machines
• optical flow
  • about / Optical flow
  • Horn and Schunck method / The Horn and Schunck method
  • Lucas and Kanade method / The Lucas and Kanade method
  • implementing, on Android / Checking out the optical flow on Android
• Oriented FAST and Rotated BRIEF (ORB)
  • about / Oriented FAST and Rotated BRIEF
  • contributions / Oriented FAST and Rotated BRIEF
  • oFAST / oFAST – FAST keypoint orientation
  • rBRIEF / rBRIEF – Rotation-aware BRIEF
  • in OpenCV / ORB in OpenCV

P

• permission errors
  • about / Permission errors
  • common permissions / Some common permissions
• Prewitt operator
  • reference / The Sobel operator
• projective transformation
  • about / Basic 2D transformations
• pseudo-inverse / The Lucas and Kanade method

R

• rBRIEF
  • about / rBRIEF – Rotation-aware BRIEF
• rigid transformation
  • about / Basic 2D transformations
• rotation dependence / Keypoint descriptor

S

• Scale Invariant Feature Transform (SIFT)
  • about / Scale Invariant Feature Transform
  • URL / Scale Invariant Feature Transform
  • properties / Scale Invariant Feature Transform
  • working / Understanding how SIFT works
  • scale-space extrema detection / Scale-space extrema detection
  • keypoint localization / Keypoint localization
  • orientation assignment / Orientation assignment
  • keypoint descriptor / Keypoint descriptor
  • setting up, in OpenCV / SIFT in OpenCV
• Sobel operator
  • about / The Sobel operator
  • using / The Sobel operator
• Sudoku puzzle
  • detecting, in image / Project – detecting a Sudoku puzzle in an image
• Sudoku puzzle project
  • puzzle, solving / Solving a Sudoku puzzle
  • digits, recognizing / Recognizing digits in the puzzle
• Support Vector Machines (SVM)
  • about / Optical Character Recognition, OCR using Support Vector Machines
• SURF
  • about / Speeded Up Robust Features
  • URL / SURF detector
  • in OpenCV / SURF in OpenCV
• SURF descriptor
  • about / SURF descriptor
  • orientation assignment / Orientation assignment
  • based on Haar wavelet responses / Descriptor based on Haar wavelet responses
• SURF detector
  • about / SURF detector

T

• thresholding
  • about / Thresholding
  • constants / Thresholding
  • reference / Thresholding
• translation transformation
  • about / Basic 2D transformations

U

• U-SURF / SURF descriptor