Computer Vision category: 643 books
Computer Vision – ECCV 2016 Workshops
Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I
Language: English
Release Date: September 17, 2016
The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016.
27 workshops from 44 workshops proposals...
Computer Vision - ACCV 2014 Workshops
Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part I
Language: English
Release Date: April 11, 2015
The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from...
Computer Vision - ACCV 2014 Workshops
Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part III
Language: English
Release Date: April 11, 2015
The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from...
by Michael E. Farmer
Language: English
Release Date: July 21, 2014
Language: English
Release Date: July 21, 2014
This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather...
Mastering OpenCV 4
A comprehensive guide to building computer vision and image processing applications with C++, 3rd Edition
Language: English
Release Date: December 27, 2018
Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms
Key Features
Learn about the new features that help unlock the full potential of OpenCV 4
Build face detection applications with a cascade classifier...
Deep Learning for Computer Vision
Expert techniques to train advanced neural networks using TensorFlow and Keras
Language: English
Release Date: January 23, 2018
Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks
Key Features
Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
Combine the power of Python, Keras, and TensorFlow to build deep learning...
Building Computer Vision Projects with OpenCV 4 and C++
Implement complex computer vision algorithms and explore deep learning and face detection
Language: English
Release Date: March 26, 2019
Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms
Key Features
Discover best practices for engineering and maintaining OpenCV projects
Explore important deep learning tools for image...
Hands-On Computer Vision with Julia
Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
Language: English
Release Date: June 29, 2018
Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking.
Key Features
Build a full-fledged image processing application using JuliaImages
Perform basic to advanced image and video stream processing with Julia's APIs
Understand...
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
Language: English
Release Date: January 17, 2018
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 features from an image and...
by Samyak Datta
Language: English
Release Date: December 21, 2016
Language: English
Release Date: December 21, 2016
Build, create, and deploy your own computer vision applications with the power of OpenCV
About This Book
This book provides hands-on examples that cover the major features that are part of any important Computer Vision application
It explores important algorithms that allow you to recognize faces,...
by Prateek Joshi
Language: English
Release Date: September 22, 2015
Language: English
Release Date: September 22, 2015
Build real-world computer vision applications and develop cool demos using OpenCV for PythonAbout This BookLearn how to apply complex visual effects to images using geometric transformations and image filtersExtract features from an image and use them to develop advanced applicationsBuild algorithms...
Architectures for Computer Vision
From Algorithm to Chip with Verilog
Language: English
Release Date: August 5, 2014
This book provides comprehensive coverage of 3D vision systems, from vision models and state-of-the-art algorithms to their hardware architectures for implementation on DSPs, FPGA and ASIC chips, and GPUs. It aims to fill the gaps between computer vision algorithms and real-time digital circuit implementations,...
Learning OpenCV
Computer Vision with the OpenCV Library
Language: English
Release Date: September 24, 2008
"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Learning...
Learn OpenCV 4 by Building Projects
Build real-world computer vision and image processing applications with OpenCV and C++, 2nd Edition
Language: English
Release Date: November 30, 2018
Explore OpenCV 4 to create visually appealing cross-platform computer vision applications
Key Features
Understand basic OpenCV 4 concepts and algorithms
Grasp advanced OpenCV techniques such as 3D reconstruction, machine learning, and artificial neural networks
Work with Tesseract OCR, an open-source...