Index

A

• AAM / Overview
  • overview / Active Appearance Models overview
  • Model Instantiation / Model Instantiation – playing with the Active Appearance Model
  • search / AAM search and fitting
• addRawViewOutput function / Accessing the camera
• Algorithm
  • TopicngetList() function / Training the face recognition system from collected faces
• algorithms, for descriptor matching
  • brute force matcher / Matching of feature points
  • flann-based matcher / Matching of feature points
• alien mode
  • generating, skin detection used / Generating an "alien" mode using skin detection
• ALPR
  • about / Introduction to ANPR
• Android
  • program, porting from desktop to / Porting from desktop to Android
• Android 2.2 (Froyo) / Porting from desktop to Android
• Android app
  • reviewing / Reviewing the Android app
  • Frames Per Second, displaying for / Showing the FPS of the app
• Android Cartoonifier app
  • customizing / Customizing the app
• Android Emulator / Porting from desktop to Android
• Android gallery
  • about / Saving the image to a file and to the Android picture gallery
  • image, saving to / Saving the image to a file and to the Android picture gallery
• Android menu bar
  • cartoon modes, modifying through / Changing cartoon modes through the Android menu bar
• Android NDK app
  • cartoonifier code, adding to / Adding the cartoonifier code to the Android NDK app
• Android notification message
  • displaying, for saved image / Showing an Android notification message about a saved image
• Android project
  • setting up / Setting up an Android project that uses OpenCV
  • color formats, used for image processing / Color formats used for image processing on Android
  • color format, inputting from camera / Input color format from the camera
  • output color format, for display / Output color format for display
• ANN algorithm
  • about / OCR classification
• annotation tool
  • using / Annotation tool
• ANPR
  • about / Introduction to ANPR
  • overview / Introduction to ANPR
• ANPR algorithm
  • about / ANPR algorithm
  • pattern recognition steps / ANPR algorithm
  • plate detection / Plate detection
  • plate recognition / Plate recognition
• application architecture
  • about / Application architecture
• application infrastructure
  • about / Application infrastructure
  • ARPipeline.hpp / ARPipeline.hpp
  • ARPipeline.cpp / ARPipeline.cpp
  • support, enabling for 3D visualization in OpenCV / Enabling support for 3D visualization in OpenCV
• arbitrary image, on video
  • searching, feature descriptors used / Using feature descriptors to find an arbitrary image on video
• ARDrawingContext.cpp file / ARDrawingContext.cpp
• ARDrawingContext.hpp file / ARDrawingContext.hpp
• ARDrawingContext class / ARDrawingContext.hpp, ARDrawingContext.cpp
• ARPipeline.cpp file
  • about / ARPipeline.cpp
• ARPipeline.hpp file / ARPipeline.hpp
• ARPipeline class
  • about / ARPipeline.hpp
• AR scene
  • rendering / Rendering an AR scene
• Artificial Neural Network (ANN)
  • about / Plate recognition
• ASM / Overview
  • about / Active Shape Models
  • PCA, working with / Getting the feel of PCA
  • triangulation / Triangulation
  • triangle texture warping / Triangle texture warping
• Augmented Reality (AR)
  • rendering / Rendering augmented reality
• Augmented Reality (AR), rendering
  • ARDrawingContext.hpp / ARDrawingContext.hpp
  • ARDrawingContext.cpp / ARDrawingContext.cpp
• Augmented Reality (AR) application
  • about / Application architecture
  • components / Application architecture
  • camera, accessing / Accessing the camera
• AVCaptureDevice class / Accessing the camera
• AVCaptureMovieFileOutput interface
  • about / Accessing the camera
• AVCaptureSession object / Accessing the camera
• AVCaptureStillImageOutput interface
  • about / Accessing the camera
• AVCaptureVideoDataOutput class / Accessing the camera
• AVCaptureVideoDataOutput interface
  • about / Accessing the camera
• AVCaptureVideoPreviewLayer class / Accessing the camera
• AVCaptureVideoPreviewLayer interface
  • about / Accessing the camera
• AVI
  • about / Introduction to ANPR

B

• bilateralFilter() method / Generating a color painting and a cartoon
• black and white sketch
  • generating / Generating a black-and-white sketch
• brute force matcher
  • about / Matching of feature points
• bucket fill tool / Implementation of the skin-color changer
• buildPatternFromImage class
  • about / PatternDetector.cpp
• buildProjectionMatrix function / ARDrawingContext.cpp
• Bundle Adjustment (BA) / Refinement of the reconstruction

C

• calc_scale function / Training and visualization, Training and visualization
• camera
  • color format, inputting from / Input color format from the camera
  • accessing / Accessing the camera
• camera-intrinsic matrix
  • about / Obtaining the camera-intrinsic matrix
  • obtaining / Obtaining the camera-intrinsic matrix
• CameraCalibration class
  • about / Camera calibration
• camera calibration process
  • about / Camera calibration
• camera matrices
  • finding / Finding camera matrices
• camera motion
  • estimating, from a pair of images / Estimating the camera motion from a pair of images
• camera motion estimation, from pair of images
  • about / Estimating the camera motion from a pair of images
  • point matching, rich feature descriptors used / Point matching using rich feature descriptors
  • point matching, optical flow used / Point matching using optical flow
  • camera matrices, finding / Finding camera matrices
• camera resolution
  • using / Using a different camera resolution
• camera_cailbration.exe package / Obtaining the camera-intrinsic matrix
• candidates search / Candidates search
• Canny edge detector
  • about / Generating a black-and-white sketch
• cartoon
  • generating / Generating a color painting and a cartoon
• cartoon.cpp file / Generating a black-and-white sketch, Adding the cartoonifier code to the Android NDK app
• cartoonifier code
  • adding, to Android NDK app / Adding the cartoonifier code to the Android NDK app
• CartoonifierView class / Saving the image to a file and to the Android picture gallery
• cartoonifyImage() function / Generating a black-and-white sketch, Porting from desktop to Android, Adding the cartoonifier code to the Android NDK app, Showing an Android notification message about a saved image
• CartoonifyImage() function / Adding the cartoonifier code to the Android NDK app
• cartoon modes
  • modifying, through Android menu bar / Changing cartoon modes through the Android menu bar
• CharSegment class / OCR segmentation
• CIELab color space / Skin-detection algorithm
• classification
  • about / Classification
• collection mode / Collection mode
• color format
  • inputting, from camera / Input color format from the camera
  • outputting, for display / Output color format for display
• color formats
  • used, for image processing on Android / Color formats used for image processing on Android
• color painting
  • generating / Generating a color painting and a cartoon
• components. Augmented Reality (AR) application
  • video source / Application architecture
  • image processing routine / Application architecture
  • visualization engine / Application architecture
• computePose function / Pattern.cpp
• contours detection
  • about / Contours detection
• convertTo function / Feature extraction
• corner-based feature detectors / Feature extraction
• correlation-based patch models
  • about / Correlation-based patch models
  • discriminative patch models / Learning discriminative patch models, Generative versus discriminative patch models
  • generative patch models / Generative versus discriminative patch models
• countNonZero function / Feature extraction
• CPR
  • about / Introduction to ANPR
• cross-match filter
  • about / Cross-match filter
• cv
  • TopicninitModule_contrib() function / Training the face recognition system from collected faces
  • TopicnAlgorithmTopicn / Training the face recognition system from collected faces, Viewing the learned knowledge
• cv**BFMatcher class / Cross-match filter
• cv**cornerSubPix function / Marker location refinement
• cv**countNonZero function / Marker code recognition
• cv**FeatureDetector class / Feature extraction
• cv**findCountours function / Contours detection
• cv**findHomography function / Homography estimation
• cv**FlannBasedMatcher method / Matching of feature points
• cv**getPerspectiveTransform function / Candidates search
• cv**getTextSize() function / Drawing the GUI elements
• cv**imshow() method / Main camera processing loop for a desktop app
• cv**Mat object / Accessing the webcam
• cv**normalize() function / Viewing the learned knowledge
• cv**putText() function / Drawing the GUI elements
• cv**setOpenGlDrawCallback method / ARDrawingContext.cpp
• cv**solvePnP function / Obtaining the camera-intrinsic matrix
• cv**VideoCapture**set() method / Accessing the webcam
• cv**VideoCapture object / Accessing the webcam
• cv**waitKey() method / Main camera processing loop for a desktop app
• cv**WINDOW_OPENGL flag / Creating OpenGL windows using OpenCV
• cv\
  • \TopicnVideoCapture class / Training and visualization

D

• 3D
  • marker, placing in / Placing a marker in 3D
• 3DMM / Overview
• 3D point clouds
  • visualizing, with PCL / Visualizing 3D point clouds with PCL
• 3D virtual object
  • rendering / Rendering the 3D virtual object
• 3D visualization
  • support, enabling in OpenCV / Enabling support for 3D visualization in OpenCV
• data.txt file / Evaluation
• Delaunay triangulation / Triangulation
• demonstration project
  • about / Demonstration
  • main.cpp / main.cpp
• descriptor
  • about / Point matching using rich feature descriptors
• descriptor-extraction algorithms / Feature extraction
• desktop app
  • main camera processing loop / Main camera processing loop for a desktop app
• detected feature points
  • about / Feature extraction
• detection mode / Detection mode
• detection process
  • controlling / Putting it all together
• detectLargestObject()function / Eye search regions
• detect method / Feature extraction
• DetectRegions class / Classification
• dilate() method / Implementation of the skin-color changer
• DirectX / Rendering the 3D virtual object
• display
  • color format, outputting for / Output color format for display
• drawFrame function / Rendering an AR scene
• drawString() function / Drawing the GUI elements

E

• EAGLView class / Creating the OpenGL rendering layer, Rendering an AR scene
• edge filters
  • used, for generating evil mode / Generating an "evil" mode using edge filters, Skin-detection algorithm, Showing the user where to put their face, Implementation of the skin-color changer
• ellipse() function / Showing the user where to put their face
• equalizeHist() function / Step 2: Face preprocessing
• erode() method / Implementation of the skin-color changer
• errors, matching
  • false-positive matches / Outlier removal
  • false-negative matches / Outlier removal
• estimatePosition function / Marker pose estimation
• evil mode
  • generating, edge filters used / Generating an "evil" mode using edge filters, Skin-detection algorithm, Showing the user where to put their face, Implementation of the skin-color changer
• example code
  • using / Using the example code
• extraction
  • about / Point matching using rich feature descriptors
• eye search regions
  • about / Eye search regions
  • cascade classifier / Eye search regions
  • example / Eye search regions
  • face preprocessing, performing / Eye search regions
  • geometrical transformation / Geometrical transformation, Separate histogram equalization for left and right sides
  • histogram equalization / Separate histogram equalization for left and right sides
  • pixel noise effect, reducing / Smoothing
  • Elliptical mask / Elliptical mask

F

• face
  • detecting / Detecting the face
• face detection
  • about / Face detection and initialization, Introduction to face recognition and face detection, Step 1: Face detection
  • implementing, OpenCV / Implementing face detection using OpenCV
  • Haar for object, loading / Loading a Haar or LBP detector for object or face detection
  • LBP detector for object, loading / Loading a Haar or LBP detector for object or face detection
  • webcam, accessing / Accessing the webcam
  • object detecting, LBP Classifier used / Detecting an object using the Haar or LBP Classifier
  • object detecting, Haar used / Detecting an object using the Haar or LBP Classifier
• face preprocessing / Introduction to face recognition and face detection
  • about / Step 2: Face preprocessing
  • eye, detecting / Eye detection
  • eye search regions / Eye search regions
• face recognition
  • about / Introduction to face recognition and face detection, Step 4: Face recognition
  • from face / Face identification: Recognizing people from their face
  • claimed person, verifying / Face verification: Validating that it is the claimed person
  • files, saving / Finishing touches: Saving and loading files
  • files, loading / Finishing touches: Saving and loading files
  • interactive GUI, creating / Finishing touches: Making a nice and interactive GUI
• FaceRecognizer**train() function / Training the face recognition system from collected faces
• faces
  • collecting / Step 3: Collecting faces and learning from them
  • researching / Step 3: Collecting faces and learning from them
  • preprocessed faces, collecting / Collecting preprocessed faces for training
  • face recognition system, training / Training the face recognition system from collected faces
  • internal data structures, viewing / Viewing the learned knowledge
  • average face / Average face
  • eigenvalues / Eigenvalues, Eigenfaces, and Fisherfaces
  • eigenfaces / Eigenvalues, Eigenfaces, and Fisherfaces
  • Fisherfaces / Eigenvalues, Eigenfaces, and Fisherfaces
• face tracking
  • about / Face tracking
  • implementing / Face tracker implementation
  • visualization / Training and visualization
  • training / Training and visualization
  • person-specific models / Generic versus person-specific models
  • geometric-specific models / Generic versus person-specific models
• face tracking algorithms
  • data training, image component / Training data types
  • data training, annotations componentt / Training data types
  • data training, symmetry indices component / Training data types
  • data training, connectivity indices component / Training data types
  • data training, components / Training data types
• face_detector class / Face detection and initialization
• facial feature detectors
  • using / Facial feature detectors
  • advantages / Facial feature detectors
  • correlation-based patch models / Correlation-based patch models
  • global geometric transformations / Accounting for global geometric transformations
  • visualization / Training and visualization
  • training / Training and visualization
• false-negative matches
  • about / Outlier removal
• false-positive matches
  • about / Outlier removal
• feature descriptors
  • used, for searching arbitrary image on video / Using feature descriptors to find an arbitrary image on video
  • about / Feature extraction
• feature detection
  • about / Feature extraction
• feature extraction
  • about / Feature extraction, Feature extraction
• feature point
  • about / Using feature descriptors to find an arbitrary image on video
• feature point orientation
  • about / Feature extraction
• feature points
  • detecting / Feature extraction
  • matching / Matching of feature points
• Find Contours algorithm
  • about / OCR segmentation
• findContours function / Segmentation
• findFundamentalMat function / Estimating the camera motion from a pair of images
• flag parameter / Segmentation
• flags parameter / Detecting the face
• flann-based matcher
  • about / Matching of feature points
• floodFill() function / Implementation of the skin-color changer
• floodFill function / Segmentation
• Frames Per Second speed
  • displaying, of Android app / Showing the FPS of the app
• FREAK algorithm
  • about / Feature extraction
• ft_data class / Training data types

G

• geometrical constraints
  • about / Geometrical constraints
  • procrustes analysis / Procrustes analysis
  • linear shape models / Linear shape models
  • combined local-global representation / A combined local-global representation
  • training / Training and visualization
  • visualization / Training and visualization
• getResult method / Application architecture
• getSimilarity() function / Face verification: Validating that it is the claimed person
• getStructuringElement function / Segmentation
• grayscale conversion / Grayscale conversion
• GUI
  • creating / Finishing touches: Making a nice and interactive GUI
  • modes, creating / Finishing touches: Making a nice and interactive GUI
  • elements, drawing / Drawing the GUI elements
  • mouse clicks, checking / Checking and handling mouse clicks
  • mouse clicks, handling / Checking and handling mouse clicks
• GUI elements
  • drawing / Drawing the GUI elements
  • startup mode / Startup mode
  • detection mode / Detection mode
  • collection mode / Collection mode
  • training mode / Training mode
  • recognition mode / Recognition mode

H

• Hamming Code
  • about / Marker code recognition
• homography estimation / Homography estimation
  • PatternDetector.cpp / PatternDetector.cpp
• homography refinement
  • about / Homography refinement
  • PatternDetector.cpp / PatternDetector.cpp
• HSV (Hue-Saturation-Brightness) / Skin-detection algorithm, Implementation of the skin-color changer

I

• ICCV conference papers
  • URL / Customizing the app
• image
  • cartoonifying / Cartoonifying the image when the user taps the screen
  • saving, to Android gallery / Saving the image to a file and to the Android picture gallery
• image binarization / Image binarization
• image recognition
  • about / Using feature descriptors to find an arbitrary image on video
• imwrite() function / Saving the image to a file and to the Android picture gallery
• Infrared (IR) camera
  • about / Introduction to ANPR
• initWithCoder function / Creating the OpenGL rendering layer
• inside() function / Checking and handling mouse clicks
• iOS project
  • creating / Creating an iOS project that uses OpenCV
  • OpenCV framework, adding / Adding OpenCV framework
  • OpenCV headers, including / Including OpenCV headers
• Iterative Closest Point(ICP) procedure / Reconstruction from many views

J

• JavaCV library / Porting from desktop to Android
• JNI (Java Native Interface) / Porting from desktop to Android

K

• k-nearest neighbor (kNN) radius / Point matching using optical flow
• keypoints container
  • about / Feature extraction

L

• Laplacian filters
  • about / Generating a black-and-white sketch
• LDA / Training the face recognition system from collected faces
• loDiff parameter / Segmentation

M

• main camera processing loop
  • for desktop app / Main camera processing loop for a desktop app
• marker
  • about / Marker detection
  • placing, in 3D / Placing a marker in 3D
  • strengths / Marker-based versus marker-less AR
  • limitations / Marker-based versus marker-less AR
• marker, in 3D
  • camera calibration process / Camera calibration
  • marker pose estimation / Marker pose estimation
• marker-based approach
  • versus marker-less approach / Marker-based versus marker-less AR
• marker-less AR approach
  • versus marked-based AR approach / Marker-based versus marker-less AR
  • strengths / Marker-based versus marker-less AR
• marker code
  • reading / Reading marker code
• marker code recognition
  • about / Marker code recognition
  • marker code, reading / Reading marker code
  • location refinement / Marker location refinement
• marker detection procedure
  • about / Marker detection
  • marker identification / Marker identification
  • contours detection / Contours detection
  • candidates search / Candidates search
• marker detection routine
  • about / Marker identification
  • grayscale conversion / Grayscale conversion
  • image binarization / Image binarization
• MarkerDetector class / Application architecture, Marker detection
• MarkerDetector function / Image binarization
• marker location refinement / Marker location refinement
• marker pose estimation
  • about / Marker pose estimation
• Mat**channels() method / Output color format for display
• match function / Matching of feature points
• matching
  • errors / Outlier removal
  • about / Point matching using rich feature descriptors
• mbgra variable / Output color format for display
• minAreaRect function / Segmentation
• minContourPointsAllowed variable / Contours detection
• minFeatureSize parameter / Detecting the face
• minMaxLoc function / Feature extraction
• minNeighbors parameter / Detecting the face
• morphologyEx function / Segmentation
• MUCT dataset
  • about / Pre-annotated data (The MUCT dataset)
  • using / Pre-annotated data (The MUCT dataset)
• Multi-Layer Perceptron (MLP)
  • about / OCR classification

N

• NDK (Native Development Kit) / Porting from desktop to Android
• newVal parameter / Segmentation
• nextFrameShouldBeSaved()function / Cartoonifying the image when the user taps the screen
• nextFrameShouldBeSaved() function / Saving the image to a file and to the Android picture gallery
• non-rigid face tracking
  • overview / Overview

O

• object detection
  • grayscale color conversion / Grayscale color conversion
  • camera image, shrinking / Shrinking the camera image
  • histogram equalization / Histogram equalization
• OCR
  • about / Introduction to ANPR
• OCR**train function / OCR classification
• OCR.xml file / Evaluation
• OCR classification
  • about / OCR classification
• OCR segmentation
  • about / OCR segmentation
• Ogre / Rendering the 3D virtual object
• onMouse function / Checking and handling mouse clicks
• onTouch() function / Cartoonifying the image when the user taps the screen
• OpenCV
  • webcam, accessing / Accessing the webcam
  • about / Accessing the webcam, Creating an iOS project that uses OpenCV
  • main camera processing loop, for desktop app / Main camera processing loop for a desktop app
  • Android project, setting up / Setting up an Android project that uses OpenCV
  • adding, to iOS project / Creating an iOS project that uses OpenCV
  • URL / Adding OpenCV framework
  • feature detection algorithms / Feature extraction
  • support, enabling for 3D visualization / Enabling support for 3D visualization in OpenCV
  • used, for creating OpenGL windows / Creating OpenGL windows using OpenCV
  • used, for capturing videos / Video capture using OpenCV
  • used, for face detection implementing / Implementing face detection using OpenCV
• OpenCV framework
  • adding, to iOS project / Adding OpenCV framework
• OpenCV headers
  • adding, to iOS project / Including OpenCV headers
• OpenCV v2.4.1
  • recognition algorithms / Training the face recognition system from collected faces
• OpenGL / Rendering the 3D virtual object
  • rendering layer, creating / Creating the OpenGL rendering layer
• OpenGL rendering layer
  • creating / Creating the OpenGL rendering layer
• OpenGL windows
  • creating, OpenCV used / Creating OpenGL windows using OpenCV
• optical flow (OF)
  • used, for point matching / Point matching using optical flow
• ORB algorithm
  • about / Feature extraction
• outlier removal
  • about / Outlier removal
  • cross-match filter / Cross-match filter
  • ratio test / Ratio test
  • homography estimation / Homography estimation
  • homography refinement / Homography refinement

P

• .pch file / Including OpenCV headers
• Pattern.cpp / Pattern.cpp
• PatternDetector.cpp
  • about / PatternDetector.cpp
  / PatternDetector.cpp, PatternDetector.cpp, PatternDetector.cpp
• PatternDetector.cpp file / PatternDetector.cpp
• PatternMatcher class / Putting it all together
• pattern object
  • defining / Definition of a pattern object
• Pattern object
  • about / PatternDetector.cpp
• pattern pose estimation
  • about / Pattern pose estimation
  • PatternDetector.cpp / PatternDetector.cpp
• pattern recognition algorithms, steps
  • segmentation / ANPR algorithm
  • feature extraction / ANPR algorithm
  • classification / ANPR algorithm
• Perspective N-Point(PNP) / Reconstruction from many views
• plate detection procedure
  • about / Plate detection
  • segmentation / Segmentation
  • classification / Classification
• plate recognition procedure
  • about / Plate recognition
  • OCR segmentation / OCR segmentation
  • feature extraction / Feature extraction
  • OCR classification / OCR classification
  • evaluation / Evaluation
• Point Cloud Library (PCL)
  • used, for visualizing 3D point clouds / Visualizing 3D point clouds with PCL
  • about / Visualizing 3D point clouds with PCL
• POS / POSIT
• POSIT
  • about / POSIT
  • dividing into / Diving into POSIT
  • head model / POSIT and head model
  • video file, tracing from / Tracking from webcam or video file
  • webcam, tracing from / Tracking from webcam or video file
• predict() function / Face verification: Validating that it is the claimed person
• printMat() function / Viewing the learned knowledge
• printMatInfo() function / Viewing the learned knowledge
• processFrame() function / Output color format for display, Cartoonifying the image when the user taps the screen, Saving the image to a file and to the Android picture gallery, Application architecture
• processFrame function / main.cpp
• processSingleImage function / main.cpp
• Procrustes Analysis / Active Shape Models
• program
  • porting, from desktop to Android / Porting from desktop to Android
• ProjectedHistogram function / Feature extraction

Q

• query descriptors
  • matching / PatternDetector.cpp

R

• random pepper noise
  • reducing, from sketch image / Reducing the random pepper noise from the sketch image
• random sample consensus (RANSAC) method / Homography estimation
• ratio test
  • about / Ratio test
  • PatternDetector.cpp / PatternDetector.cpp
  • used, for performing robust descriptor matching / PatternDetector.cpp
• real-life image
  • converting, to sketch drawing / Generating a black-and-white sketch
• recognition mode / Recognition mode
• reconstruction, scene
  • refining / Refinement of the reconstruction
• removePepperNoise() function / Reducing the random pepper noise from the sketch image
• RGB (Red-Green-Blue) / Skin-detection algorithm, Implementation of the skin-color changer
• robust descriptor matching
  • performing, ratio test used / PatternDetector.cpp
• RotatedRect class / Segmentation
• rotation invariant
  • about / Feature extraction

S

• saved image
  • Android notification message, displaying for / Showing an Android notification message about a saved image
• savePNGImageToGallery() function / Saving the image to a file and to the Android picture gallery
• savingRegions variable / Classification
• scene
  • reconstructing / Reconstructing the scene
  • reconstructing, from multiple view / Reconstruction from many views
• Scharr
  • about / Generating a black-and-white sketch
• searchScaleFactor parameter / Detecting the face
• segmentation
  • about / Segmentation
• setupCamera() function / Using a different camera resolution
• showNotificationMessage() function / Showing an Android notification message about a saved image
• ShowPreview() function / Output color format for display, Adding the cartoonifier code to the Android NDK app, Cartoonifying the image when the user taps the screen
• SIFT
  • about / Feature extraction
• Simple Sparse Bundle Adjustment (SSBA) library / Refinement of the reconstruction
• Singular Value Decomposition (SVD) / Finding camera matrices
• sketch drawing
  • real-life image, converting to / Generating a black-and-white sketch
• sketch image
  • random pepper noise, reducing from / Reducing the random pepper noise from the sketch image
• skin color changer
  • implementing / Implementation of the skin-color changer
• skin detection
  • used, for generating alien mode / Generating an "alien" mode using skin detection
• Skin detection algorithm
  • about / Skin-detection algorithm
• Sobel
  • about / Generating a black-and-white sketch
• Sobel filter
  • about / Segmentation
• solvePnP functions / Reconstruction from many views
• solvePnPRansac function / Reconstruction from many views
• Speeded-Up Robust Features (SURF) features
  • about / Point matching using rich feature descriptors
• Startup mode / Startup mode
• statistical outlier removal (SOR) tool / Visualizing 3D point clouds with PCL
• Structure from Motion (SfM)
  • exploring / Structure from Motion concepts
• subspaceProject() function / Face verification: Validating that it is the claimed person
• subspaceReconstruct() function / Face verification: Validating that it is the claimed person
• Support Vector Machine (SVM)
  • about / Plate detection
• Support Vector Machine (SVM) algorithm / Classification
• SURF
  • about / Feature extraction
• surfaceChanged() function / Using a different camera resolution
• SVD / Linear shape models

T

• threshold function / Segmentation
• training mode / Training mode
• TriangulatePoints function / Reconstruction from many views

U

• UIGetScreenImage function / Accessing the camera
• UIViewController interface / Application architecture
• Unity / Rendering the 3D virtual object
• Unreal Engine / Rendering the 3D virtual object
• upDiff parameter / Segmentation
• user face
  • placing, for alien mode / Showing the user where to put their face
• utilities
  • about / Utilities
  • Object-oriented design / Object-oriented design
  • data collections / Data collection: Image and video annotation

V

• videos
  • capturing, OpenCV used / Video capture using OpenCV
• VideoSource interface / Accessing the camera
• ViewController class / Application architecture
• VisualizationController / Application architecture
• VisualizationControllerclass / Rendering an AR scene

W

• warpAffine() function / Geometrical transformation
• warpAffine function / Segmentation, Triangle texture warping
• webcam
  • accessing / Accessing the webcam