Computer Vision Research Progress
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Computer Vision Research Progress
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Author : Zhongkai Zhu
language : en
Publisher: Nova Publishers
Release Date : 2008
Computer Vision Research Progress written by Zhongkai Zhu and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organizing information (e.g. for indexing databases of images and image sequences), Modeling objects or environments (e.g. industrial inspection, medical image analysis or topographical modeling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be described as a complement (but not necessarily the opposite) of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. Computer vision, on the other hand, studies and describes artificial vision system that are implemented in software and/or hardware. Interdisciplinary exchange between biological and computer vision has proven increasingly fruitful for both fields. Sub-domains of computer vision include scene reconstruction, event detection, tracking, object recognition, learning, indexing, ego-motion and image restoration. This new book presents leading-edge new research from around the world.
Progress In Computer Vision And Image Analysis
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Author : Horst Bunke
language : en
Publisher: World Scientific Publishing Company Incorporated
Release Date : 2010
Progress In Computer Vision And Image Analysis written by Horst Bunke and has been published by World Scientific Publishing Company Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
This book is a collection of scientific papers published during the last five years, showing a broad spectrum of actual research topics and techniques used to solve challenging problems in the areas of computer vision and image analysis. The book will appeal to researchers, technicians and graduate students.
Deep Learning To See
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Author : Alessandro Betti
language : en
Publisher: Springer Nature
Release Date : 2022-04-26
Deep Learning To See written by Alessandro Betti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-26 with Computers categories.
The remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. This work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal. Serving to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.
Machine Learning Research Progress
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Author : Hannah Peters
language : en
Publisher: Nova Science Publishers
Release Date : 2010
Machine Learning Research Progress written by Hannah Peters and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Machine learning categories.
As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive. Inductive machine learning methods extract rules and patterns out of massive data sets. The major focus of machine learning research is to extract information from data automatically, by computational and statistical methods. Hence, machine learning is closely related not only to data mining and statistics, but also theoretical computer science. This book presents new and important research in this field.
Progress In Pattern Recognition Image Analysis Computer Vision And Applications
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Author : Eduardo Bayro Corrochano
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-26
Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Eduardo Bayro Corrochano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-26 with Computers categories.
This book constitutes the refereed proceedings of the 14th Iberoamerican Congress on Pattern Recognition, CIARP 2009, held in Guadalajara, Mexico, in November 2009. The 64 revised full papers presented together with 44 posters were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; geometric image processing and analysis; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; statistical pattern recognition; neural networks for pattern recognition; computer vision; video segmentation and tracking; robot vision; intelligent remote sensing, imagery research and discovery techniques; intelligent computing for remote sensing imagery; as well as intelligent fusion and classification techniques.
Explainable And Interpretable Models In Computer Vision And Machine Learning
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Author : Hugo Jair Escalante
language : en
Publisher: Springer
Release Date : 2018-11-29
Explainable And Interpretable Models In Computer Vision And Machine Learning written by Hugo Jair Escalante and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-29 with Computers categories.
This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations
Image Recognition
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Author : Charles Z. Liu
language : en
Publisher: Nova Science Publishers
Release Date : 2020-04
Image Recognition written by Charles Z. Liu and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04 with Computer vision categories.
Visual computing for intelligent human-computer interactions : trend, challenges and progress / Charles Z. Liu and Manolya Kavakli -- Principle component analysis based computing in image recognition / Charles Z. Liu and Manolya Kavakli -- Recognition and awareness modeling for quality of experience and quality of services / Charles Z. Liu and Manolya Kavakli -- Performance analysis of local binary patterns for image texture classification methods / S. Nithya and S. Ramakrishnan -- Generative adversarial networks : an introduction / Hamed Alqahtani, Manolya Kavakli-Thorne and Gulshan Kumar -- Knowledge based adaptive fuzzy strategy for target of interest differentiation / Charles Z. Liu and Manolya Kavakli -- PCA-based image recognition applications on vision based computing / Charles Z. Liu and Manolya Kavakli -- Review of feature extraction and classification techniques for epileptic seizure detection / A.S. Muthanantha Murugavel and S. Ramakrishnan -- Generative adversarial networks : application domains / Hamed Alqahtani, Manolya Kavakli-Thorne and Gulshan Kumar -- Vision-based intelligent human-computer interactions with multiple agent collaboration / Charles Z. Liu and Manolya Kavakli -- A comprehensive vision-aware-computing-based interactive system with agent-based collaborative information processing / Charles Z. Liu and Manolya Kavakli -- Summary and feature works / Charles Z. Liu and Manolya Kavakli.
Progress In Pattern Recognition Image Analysis Computer Vision And Applications
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Author : Alvaro Pardo
language : en
Publisher: Springer
Release Date : 2015-10-22
Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Alvaro Pardo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-22 with Computers categories.
This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo, Uruguay, in November 2015. The 95 papers presented were carefully reviewed and selected from 185 submissions. The papers are organized in topical sections on applications on pattern recognition; biometrics; computer vision; gesture recognition; image classification and retrieval; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern recognition; video analysis, segmentation and tracking.
Progress In Pattern Recognition Image Analysis Computer Vision And Applications
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Author : Marcelo Mendoza
language : en
Publisher: Springer
Release Date : 2018-02-09
Progress In Pattern Recognition Image Analysis Computer Vision And Applications written by Marcelo Mendoza and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
This book constitutes the refereed post-conference proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, held in Valparaíso, Chile, in November 2017. The 87 papers presented were carefully reviewed and selected from 156 submissions. The papers feature research results in the areas of pattern recognition, image processing, computer vision, multimedia and related fields.
Proceedings Of 2nd International Conference On Computer Vision Image Processing
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Author : Bidyut B. Chaudhuri
language : en
Publisher: Springer
Release Date : 2018-04-11
Proceedings Of 2nd International Conference On Computer Vision Image Processing written by Bidyut B. Chaudhuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-11 with Technology & Engineering categories.
The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.