Synthesis Lectures on Computer Vision – serie
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39 produkter
Structured Representation Learning
From Homomorphisms and Disentanglement to Equivariance and Topography
Av Yue Song, Thomas Anderson Keller m. fl.
Häftad, 2026
513 kr
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This book introduces approaches to generalize the benefits of equivariant deep learning to a broader set of learned structures through learned homomorphisms. In the field of machine learning, the idea of incorporating knowledge of data symmetries into artificial neural networks is known as …
Probabilistic and Biologically Inspired Feature Representations
Häftad, 2018
601 kr
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Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and …
Normalization Techniques in Deep Learning
Av Lei Huang
Inbunden, 2026
442 kr
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This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have become basic components in most state-of-the-art …
Image-Based Modeling of Plants and Trees
Häftad, 2009
287 kr
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Plants and trees are among the most complex natural objects. Much work has been done attempting to model them, with varying degrees of success. In this book, we review the various approaches in computer graphics, which we categorize as rule-based, image-based, and sketch-based methods. We describe …
Boosting-Based Face Detection and Adaptation
Häftad, 2010
377 kr
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Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of …
Deformable Surface 3D Reconstruction from Monocular Images
Av Mathieu Salzmann, Pascal Fua
Häftad, 2010
377 kr
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Being able to recover the shape of 3D deformable surfaces from a single video stream would make it possible to field reconstruction systems that run on widely available hardware without requiring specialized devices. However, because many different 3D shapes can have virtually the same projection, …
Camera Networks
The Acquisition and Analysis of Videos over Wide Areas
Av Amit K Roy-Chowdhury, Bi Song
Häftad, 2012
377 kr
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As networks of video cameras are installed in many applications like security and surveillance, environmental monitoring, disaster response, and assisted living facilities, among others, image understanding in camera networks is becoming an important area of research and technology development. …
Vision-Based Interaction
Av Gang Hua, Matthew Turk
Häftad, 2013
455 kr
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In its early years, the field of computer vision was largely motivated by researchers seeking computational models of biological vision and solutions to practical problems in manufacturing, defense, and medicine. For the past two decades or so, there has been an increasing interest in computer …
Background Subtraction
Theory and Practice
Häftad, 2014
513 kr
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Background subtraction is a widely used concept for detection of moving objects in videos. In the last two decades there has been a lot of development in designing algorithms for background subtraction, as well as wide use of these algorithms in various important applications, such as visual …
Computational Methods for Integrating Vision and Language
Av Kenichi Kanatani, Yasuyuki Sugaya
Häftad, 2016
569 kr
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Modeling data from visual and linguistic modalities together creates opportunities for better understanding of both, and supports many useful applications. Examples of dual visual-linguistic data includes images with keywords, video with narrative, and figures in documents. We consider two key …
Ellipse Fitting for Computer Vision
Implementation and Applications
Av Kenichi Kanatani, Yasuyuki Sugaya m. fl.
Häftad, 2016
679 kr
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Because circular objects are projected to ellipses in images, ellipse fitting is a first step for 3-D analysis of circular objects in computer vision applications. For this reason, the study of ellipse fitting began as soon as computers came into use for image analysis in the 1970s, but it is only …
Data Association for Multi-Object Visual Tracking
Häftad, 2016
399 kr
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In the human quest for scientific knowledge, empirical evidence is collected by visual perception. Tracking with computer vision takes on the important role to reveal complex patterns of motion that exist in the world we live in. Multi-object tracking algorithms provide new information on how …
Extreme Value Theory-Based Methods for Visual Recognition
Häftad, 2017
513 kr
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A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the "average." From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a …
Maximum Consensus Problem
Recent Algorithmic Advances
Häftad, 2017
569 kr
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Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the maximum consensus robust criterion plays a critical …
Elastic Shape Analysis of Three-Dimensional Objects
Av Ian H. Jermyn, Sebastian Kurtek m. fl.
Häftad, 2017
569 kr
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Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, including the fact that objects differ in both geometry and topology. In this manuscript, we narrow the problem by focusing on objects with fixed …
Covariances in Computer Vision and Machine Learning
Av Hà Quang Minh, Vittorio Murino
Häftad, 2017
625 kr
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Covariance matrices play important roles in many areas of mathematics, statistics, and machine learning, as well as their applications. In computer vision and image processing, they give rise to a powerful data representation, namely the covariance descriptor, with numerous practical …
Guide to Convolutional Neural Networks for Computer Vision
Av Salman Khan, Hossein Rahmani m. fl.
Häftad, 2018
736 kr
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Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image …
Computational Texture and Patterns
From Textons to Deep Learning
Häftad, 2018
625 kr
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Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted …
Multi-Modal Face Presentation Attack Detection
Av Jun Wan, Guodong Guo m. fl.
Häftad, 2020
377 kr
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For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage that could cause …
Person Re-Identification with Limited Supervision
Av Rameswar Panda, Amit K. Roy-Chowdhury
Häftad, 2021
322 kr
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Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled …
Computer Vision in the Infrared Spectrum
Challenges and Approaches
Av Michael Teutsch, Angel D. Sappa m. fl.
Häftad, 2021
625 kr
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Human visual perception is limited to the visual-optical spectrum. Machine vision is not. Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous systems and visually perceive the environment in a holistic way. Relevant scene content can be made visible …
Normalization Techniques in Deep Learning
Av Lei Huang
Inbunden, 2022
669 kr
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This book presents and surveys normalization techniques with a deep analysis in training deep neural networks. In addition, the author provides technical details in designing new normalization methods and network architectures tailored to specific tasks. Normalization methods can improve the …
Fine-Grained Image Analysis: Modern Approaches
Av Xiu-Shen Wei
Inbunden, 2023
455 kr
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This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on …
Fine-Grained Image Analysis: Modern Approaches
Av Xiu-Shen Wei
Häftad, 2024
442 kr
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This book provides a comprehensive overview of the fine-grained image analysis research and modern approaches based on deep learning, spanning the full range of topics needed for designing operational fine-grained image systems. The author begins by providing detailed background information on …
Advances in Face Presentation Attack Detection
Av Jun Wan, Guodong Guo m. fl.
Inbunden, 2023
455 kr
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This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The …
Advances in Face Presentation Attack Detection
Av Jun Wan, Guodong Guo m. fl.
Häftad, 2024
455 kr
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This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The …
Unifying Framework for Formal Theories of Novelty
Discussions, Guidelines, and Examples for Artificial Intelligence
Av Terrance Boult, Walter Scheirer
Inbunden, 2023
455 kr
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This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general …
Unifying Framework for Formal Theories of Novelty
Discussions, Guidelines, and Examples for Artificial Intelligence
Av Terrance Boult, Walter Scheirer
Häftad, 2024
455 kr
Lägg i varukorg
This book presents the first unified formalization for defining novelty across the span of machine learning, symbolic-reasoning, and control and planning-based systems. Dealing with novelty, things not previously seen by a system, is a critical issue for building vision-systems and general …
Video Object Segmentation
Tasks, Datasets, and Methods
Av Ning Xu, Weiyao Lin m. fl.
Inbunden, 2023
442 kr
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This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video …
Video Object Segmentation
Tasks, Datasets, and Methods
Av Ning Xu, Weiyao Lin m. fl.
Häftad, 2025
442 kr
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This book provides a thorough overview of recent progress in video object segmentation, providing researchers and industrial practitioners with thorough information on the most important problems and developed technologies in the area. Video segmentation is a fundamental topic for video …
