OpenCV Essentials -- Table of Contents -- OpenCV Essentials -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Support files, eBooks, discount offers, and more -- Why subscribe? -- Free access for Packt account holders -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Downloading the example code -- Downloading the color images of this book -- Errata -- Piracy -- Questions -- 1. Getting Started -- Setting up OpenCV -- Compiled versus precompiled library -- Configuring OpenCV with CMake -- Building and installing the library -- Quick recipe for setting up OpenCV -- API concepts and basic datatypes -- Our first program - reading and writing images and videos -- The qmake project file -- Reading and playing a video file -- Live input from a camera -- Summary -- 2. Something We Look At - Graphical User Interfaces -- Using OpenCV's highgui module -- Text and drawing -- Selecting regions -- Using Qt-based functions -- Text overlays and status bar -- The properties dialog -- Windows properties -- Qt images -- Summary -- 3. First Things First - Image Processing -- Pixel-level access and common operations -- Image histogram -- Histogram equalization -- Brightness and contrast modeling -- Histogram matching and LUT -- Conversion from RGB to other color spaces -- Filtering with the retina model -- Arithmetic and geometrical transforms -- Arithmetic transform -- Geometrical transforms -- Summary -- What else? -- 4. What's in the Image? Segmentation -- Thresholding -- Contours and connected components -- Flood fill -- Watershed segmentation -- GrabCut -- Summary -- What else? -- 5. Focusing on the Interesting 2D Features -- Interest points -- Feature detectors -- The FAST detector -- The SURF detector -- The ORB detector.

The KAZE and AKAZE detectors -- Feature descriptor extractors -- Descriptor matchers -- Matching the SURF descriptors -- Matching the AKAZE descriptors -- Summary -- What else? -- 6. Where's Wally? Object Detection -- Object detection -- Detecting objects with OpenCV -- Cascades are beautiful -- Object detection using cascades -- Training your own cascade -- Latent SVM -- Scene text detection -- Summary -- What else? -- 7. What Is He Doing? Motion -- Motion history -- Reading video sequences -- The Lucas-Kanade optical flow -- The Gunnar-Farneback optical flow -- The Mean-Shift tracker -- The CamShift tracker -- The Motion templates -- The Motion history template -- The Motion gradient -- The Background subtraction technique -- Image alignment -- Summary -- What else? -- 8. Advanced Topics -- Machine learning -- The KNN classifier -- The Random Forest classifier -- SVM for classification -- What about GPUs? -- Setting up OpenCV with CUDA -- Configuring the OpenCV build -- Building and installing the library -- A quick recipe for setting up OpenCV with CUDA -- Our first GPU-based program -- Going real time -- Performance -- Summary -- What else? -- Index.