OpenCV 4 with Python Blueprints

Dr. Menua Gevorgyan is an experienced researcher with a demonstrated history of working in the information technology and services industry. He is skilled in computer vision, deep learning, machine learning, and data science as well as having a lot of experience with OpenCV and Python programming. He is interested in machine perception and machine understanding problems, and wonders if it is possible to make a machine perceive the world as a human does. Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland. Arsen Mamikonyan is an experienced machine learning specialist with demonstrated work experience in Silicon Valley and London, and teaching experience at the American University of Armenia. He is skilled in applied machine learning and data science and has built real-life applications using Python and OpenCV, among others. He holds a master's degree in engineering (MEng) with a concentration on artificial intelligence from the Massachusetts Institute of Technology. Michael Beyeler is a postdoctoral fellow in neuroengineering and data science at the University of Washington, where he is working on computational models of bionic vision in order to improve the perceptual experience of blind patients implanted with a retinal prosthesis (bionic eye).His work lies at the intersection of neuroscience, computer engineering, computer vision, and machine learning. He is also an active contributor to several open source software projects, and has professional programming experience in Python, C/C++, CUDA, MATLAB, and Android. Michael received a PhD in computer science from the University of California, Irvine, and an MSc in biomedical engineering and a BSc in electrical engineering from ETH Zurich, Switzerland.

• Table of ContentsFun with FiltersHand Gesture Recognition Using a Kinect Depth SensorFinding Objects via Feature Matching and Perspective Transforms3D Scene Reconstruction Using Structure from MotionUsing Computational Photography with OpenCVTracking Visually Salient ObjectsLearning to Recognize Traffic SignsLearning to Recognize Facial EmotionsLearning to Classify and Localize ObjectsLearning to Detect and Track ObjectsAppendix A: Profiling and Accelerating Your AppsAppendix B: Setting Up Docker Container