 Home | Amazing | Today | Tags | Publishers | Years | Account | Search     OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs

#### Key Features

• Build computer vision applications with OpenCV functionality via Python API
• Get to grips with image processing, multiple...  Introduction to Linear Algebra, Third Edition

This informally written text provides students with a clear introduction into the subject of linear algebra. Topics covered include matrix multiplication, row reduction, matrix inverse, orthogonality and computation. The self-teaching book is loaded with examples and graphics and provides a wide array of probing problems, accompanying...  GNU Octave Beginner's Guide

Using a range of very different examples, this beginner's guide will take you through the most important aspects of GNU Octave. The book starts by introducing how you work with mathematical objects like vectors and matrices, demonstrating how to perform simple arithmetic operations on these objects and explaining how to use some of...  Instant R Starter Jump into the R programming language and go beyond "Hello World!" Overview Learn something new in an Instant! A short, fast, focused guide delivering immediate results. Basic concepts of the R language Discover tips and tricks for working with...   Computational Mathematics: Models, Methods, and Analysis with MATLAB and MPIThis book evolved from the need to migrate computational science into undergraduate education. It is intended for students who have had basic physics, programming, matrices and multivariable calculus.The choice of topics in the book has been influenced by the Undergraduate Computational Engineering and Science Project (a United States...   Foundations of Machine Learning (Adaptive Computation and Machine Learning series) This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical underpinnings of these algorithms, and illustrates key aspects for their application. The authors aim to present novel theoretical tools and concepts while giving concise... Python Graphics: A Reference for Creating 2D and 3D Images
Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose.

Starting with the essential Python functions to set up a
...  OpenCV 3.x with Python By Example: Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.

#### Key Features

• Learn how to apply complex visual effects to images with OpenCV 3.x and Python
• Extract...  Level Sets and Extrema of Random Processes and Fields
Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields and in related applications. This book...  Introduction to Finite Element Analysis Using MATLAB® and Abaqus There are some books that target the theory of the finite element, while others focus on the programming side of things. Introduction to Finite Element Analysis Using MATLAB® and Abaqus accomplishes both. This book teaches the first principles of the finite element method. It presents the theory of the finite...   The Lanczos and Conjugate Gradient Algorithms: From Theory to Finite Precision Computations"No present book comes near this one in the range and depth of treatment of these two extremely important methods—the Lanczos algorithm and the method of conjugate gradients." Chris Paige, School of Computer Science, McGill University.   The Lanczos and conjugate gradient (CG) algorithms are fascinating numerical...   C++ Toolkit for Engineers and Scientists This concise guide covers the fundamental aspects of the numerical analysis, basing upon it the construction of its routines for solving nonlinear equations, linear and nonlinear systems of equations, and eigenvalue problems. Focusing on software development, this book emphasizes software tools, OOP techniques for handling vectors, polynomials,... Result Page: 14 13 12 11 10 9 8 7 6 5