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Computer Vision and Machine Learning with RGB-D Sensors

an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision;

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Face Recognition Across the Imaging Spectrum

of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different;

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Computer Vision: Principles, Algorithms, Applications, Learning

subject. See an interview with the author explaining his approach to teaching and learning computer vision - http;

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RGB-D Image Analysis and Processing

both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own;

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RGB-D Image Analysis and Processing

both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own;

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Computer Vision Systems

This book constitutes the refereed proceedings of the 7th International Conference on Computer Vision Systems, ICVS 2009, held in Liege;

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Machine Learning for OpenCV 4

understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning;

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Embedded Vision

Embedded vision is the integration of computer vision into machines that use algorithms to decode meaning from observed images or;

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Mastering OpenCV 4 with Python

Create computer vision and deep learning web applications Who this book is forThis book is designed for computer vision developers, engineers;

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Classification, Parameter Estimation and State Estimation

representation and generalization software toolbox for PRTools5 * Machine learning applications for computer vision, with detailed discussions;

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Computer Vision Projects with OpenCV and Python 3

detection, image segmentation, and other Computer Vision tasks Crisp content with a practical approach to solving real-world problems in Computer;

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Imaging and Sensing for Unmanned Aircraft Systems: Deployment and Applications

This two-volume book set explores how sensors and computer vision technologies are used for the navigation, control, stability, reliability;

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Raspberry Pi Cookbook, 4E

with computer vision Recognize objects from video and sounds using machine learning Control hardware through the GPIO connector Use your;

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Machine Vision and Navigation

& 2D machine vision technologies, robot navigation, control schemes, motion controllers, intelligent algorithms and vision systems. The authors;

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Computer Vision and Machine Learning in Sustainable Mobility

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Practical Machine Learning with Rust

, you'll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust;

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Computer Analysis of Images and Patterns

and Patterns, CAIP 2019, held in Salerno, Italy, in September 2019: First Workshop on Deep-learning based Computer Vision for UAV, DL-UAV 2019;

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Applied Machine Learning for Health and Fitness

Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other;

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Image Classification Using Python and Techniques of Computer Vision and Machine Learning

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Computer Vision Projects with PyTorch

in computer vision with PyTorch. Implement transfer learning and perform image classification, object detection, image segmentation, and other;

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OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging

the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen;

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Learning OpenCV 3 Computer Vision with Python -

Unleash the power of computer vision with Python using OpenCV About This Book * Create impressive applications with OpenCV and Python;

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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Advanced Machine Vision Paradigms for Medical Image Analysis

of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision;

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Learn Computer Vision Using Opencv: With Deep Learning Cnns and Rnns

trends in computer vision. After reading this book, you will be able to understand and implement computer vision and its applications with;

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