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Advanced Topics in Computer Vision

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Release : 2013-09-24
Genre : Computers
Kind : eBook
Book Rating : 203/5 ( reviews)

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Book Synopsis Advanced Topics in Computer Vision by : Giovanni Maria Farinella

Download or read book Advanced Topics in Computer Vision written by Giovanni Maria Farinella. This book was released on 2013-09-24. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.

Advanced Topics on Computer Vision, Control and Robotics in Mechatronics

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Release : 2018-04-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 70X/5 ( reviews)

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Book Synopsis Advanced Topics on Computer Vision, Control and Robotics in Mechatronics by : Osslan Osiris Vergara Villegas

Download or read book Advanced Topics on Computer Vision, Control and Robotics in Mechatronics written by Osslan Osiris Vergara Villegas. This book was released on 2018-04-28. Available in PDF, EPUB and Kindle. Book excerpt: The field of mechatronics (which is the synergistic combination of precision mechanical engineering, electronic control and systems thinking in the design of products and manufacturing processes) is gaining much attention in industries and academics. It was detected that the topics of computer vision, control and robotics are imperative for the successful of mechatronics systems. This book includes several chapters which report successful study cases about computer vision, control and robotics. The readers will have the latest information related to mechatronics, that contains the details of implementation, and the description of the test scenarios.

Recent Advances in Computer Vision

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Release : 2018-12-14
Genre : Technology & Engineering
Kind : eBook
Book Rating : 008/5 ( reviews)

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Book Synopsis Recent Advances in Computer Vision by : Mahmoud Hassaballah

Download or read book Recent Advances in Computer Vision written by Mahmoud Hassaballah. This book was released on 2018-12-14. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field.

Advanced Methods and Deep Learning in Computer Vision

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Release : 2021-11-09
Genre : Computers
Kind : eBook
Book Rating : 496/5 ( reviews)

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Book Synopsis Advanced Methods and Deep Learning in Computer Vision by : E. R. Davies

Download or read book Advanced Methods and Deep Learning in Computer Vision written by E. R. Davies. This book was released on 2021-11-09. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5–10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students. Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field Illustrates principles with modern, real-world applications Suitable for self-learning or as a text for graduate courses

Optimization for Computer Vision

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Release : 2013-07-12
Genre : Computers
Kind : eBook
Book Rating : 832/5 ( reviews)

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Book Synopsis Optimization for Computer Vision by : Marco Alexander Treiber

Download or read book Optimization for Computer Vision written by Marco Alexander Treiber. This book was released on 2013-07-12. Available in PDF, EPUB and Kindle. Book excerpt: This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.

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