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Computational Modeling Of Objects Presented In Images
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Author :Paolo Di Giamberardino Publisher :Springer Science & Business Media ISBN 13 :3319040391 Total Pages :315 pages Book Rating :4.3/5 (19 download)
Book Synopsis Computational Modeling of Objects Presented in Images by : Paolo Di Giamberardino
Download or read book Computational Modeling of Objects Presented in Images written by Paolo Di Giamberardino and published by Springer Science & Business Media. This book was released on 2014-02-01 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains extended versions of selected papers from the 3rd edition of the International Symposium CompIMAGE. These contributions include cover methods of signal and image processing and analysis to tackle problems found in medicine, material science, surveillance, biometric, robotics, defence, satellite data, traffic analysis and architecture, image segmentation, 2D and 3D reconstruction, data acquisition, interpolation and registration, data visualization, motion and deformation analysis and 3D vision.
Book Synopsis Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications by : Reneta P. Barneva
Download or read book Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications written by Reneta P. Barneva and published by Springer. This book was released on 2017-03-09 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 5th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2016, held in Niagara Falls, NY, USA, in September 2016. The 18 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 30 submissions. The papers cover the following topics: theoretical contributions and application-driven contributions.
Book Synopsis Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications by : Yongjie Jessica Zhang
Download or read book Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications written by Yongjie Jessica Zhang and published by Springer. This book was released on 2014-07-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014. The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.
Book Synopsis Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications by : Reneta P. Barneva
Download or read book Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications written by Reneta P. Barneva and published by Springer. This book was released on 2019-05-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 6th International Symposium on Computational Modeling of Objects Presented in Images, CompIMAGE 2018, held in Cracow, Poland, inJuly 2018.The 16 revised full papers presented in this book were carefully reviewed and selected from 30 submissions. The papers cover the following topics: digital geometry; digital tomography; and methods and applications.
Book Synopsis Computational Modeling of Objects Represented in Images by : Reneta P. Barneva
Download or read book Computational Modeling of Objects Represented in Images written by Reneta P. Barneva and published by . This book was released on 2011-03-13 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Modeling of Objects Represented in Images by : Reneta P. Barneva
Download or read book Computational Modeling of Objects Represented in Images written by Reneta P. Barneva and published by Springer. This book was released on 2010-04-21 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the International Symposium "Computational Modeling of Objects Represented in Images. Fundamentals, Methods and Applications", CompIMAGE 2010, held in Buffalo, NY, in May 2010. The 28 revised full papers presented were carefully reviewed and selected from 77 submissions. They are organized in topical sections on theoretical foundations of image analysis and processing; methods and applications on medical imaging, bioimaging, biometrics, and imaging in material sciences, as well as methods and applications on image reconstruction, computed tomography, and other applications.
Book Synopsis Computational Modelling of Objects Represented in Images III by : Paolo Di Giamberardino
Download or read book Computational Modelling of Objects Represented in Images III written by Paolo Di Giamberardino and published by CRC Press. This book was released on 2012-08-24 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7 September 2012). The contributions cover the state-o
Book Synopsis Computational Modelling of Objects Represented in Images. Fundamentals, Methods and Applications by : João Manuel R.S. Tavares
Download or read book Computational Modelling of Objects Represented in Images. Fundamentals, Methods and Applications written by João Manuel R.S. Tavares and published by CRC Press. This book was released on 2018-05-08 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains keynote lectures and full papers presented at the International Symposium on Computational Modelling of Objects Represented in Images (CompIMAGE), held in Coimbra, Portugal, on 20-21 October 2006. International contributions from nineteen countries provide a comprehensive coverage of the current state-of-the-art in the fields of: - Image Processing and Analysis; - Image Segmentation; - Data Interpolation; - Registration, Acquisition and Compression; - 3D Reconstruction; - Objects Tracking; - Motion and Deformation Analysis; - Objects Simulation; - Medical Imaging; - Computational Bioimaging and Visualization. Related techniques also covered in this book include the finite element method, modal analyses, stochastic methods, principal and independent components analyses and distribution models. Computational Modelling of Objects Represented in Images will be useful to academics, researchers and professionals in Computational Vision (image processing and analysis), Computer Sciences, and Computational Mechanics.
Download or read book Image Objects written by Jacob Gaboury and published by MIT Press. This book was released on 2021-08-03 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: How computer graphics transformed the computer from a calculating machine into an interactive medium, as seen through the histories of five technical objects. Most of us think of computer graphics as a relatively recent invention, enabling the spectacular visual effects and lifelike simulations we see in current films, television shows, and digital games. In fact, computer graphics have been around as long as the modern computer itself, and played a fundamental role in the development of our contemporary culture of computing. In Image Objects, Jacob Gaboury offers a prehistory of computer graphics through an examination of five technical objects--an algorithm, an interface, an object standard, a programming paradigm, and a hardware platform--arguing that computer graphics transformed the computer from a calculating machine into an interactive medium. Gaboury explores early efforts to produce an algorithmic solution for the calculation of object visibility; considers the history of the computer screen and the random-access memory that first made interactive images possible; examines the standardization of graphical objects through the Utah teapot, the most famous graphical model in the history of the field; reviews the graphical origins of the object-oriented programming paradigm; and, finally, considers the development of the graphics processing unit as the catalyst that enabled an explosion in graphical computing at the end of the twentieth century. The development of computer graphics, Gaboury argues, signals a change not only in the way we make images but also in the way we mediate our world through the computer--and how we have come to reimagine that world as computational.
Book Synopsis Hierarchical Object Representations in the Visual Cortex and Computer Vision by : Antonio Rodríguez-Sánchez
Download or read book Hierarchical Object Representations in the Visual Cortex and Computer Vision written by Antonio Rodríguez-Sánchez and published by Frontiers Media SA. This book was released on 2016-06-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations.
Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem
Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning. The book is organized into three sections: (1) Interpretation of Physical Space; (2) Recognition of 3D Objects; and (3) Integrated 3D Scene Interpretation. The first discusses representations of spatial layout and techniques to interpret physical scenes from images. The second section introduces representations for 3D object categories that account for the intrinsically 3D nature of objects and provide robustness to change in viewpoints. The third section discusses strategies to unite inference of scene geometry and object pose and identity into a coherent scene interpretation. Each section broadly surveys important ideas from cognitive science and artificial intelligence research, organizes and discusses key concepts and techniques from recent work in computer vision, and describes a few sample approaches in detail. Newcomers to computer vision will benefit from introductions to basic concepts, such as single-view geometry and image classification, while experts and novices alike may find inspiration from the book's organization and discussion of the most recent ideas in 3D scene understanding and 3D object recognition. Specific topics include: mathematics of perspective geometry; visual elements of the physical scene, structural 3D scene representations; techniques and features for image and region categorization; historical perspective, computational models, and datasets and machine learning techniques for 3D object recognition; inferences of geometrical attributes of objects, such as size and pose; and probabilistic and feature-passing approaches for contextual reasoning about 3D objects and scenes. Table of Contents: Background on 3D Scene Models / Single-view Geometry / Modeling the Physical Scene / Categorizing Images and Regions / Examples of 3D Scene Interpretation / Background on 3D Recognition / Modeling 3D Objects / Recognizing and Understanding 3D Objects / Examples of 2D 1/2 Layout Models / Reasoning about Objects and Scenes / Cascades of Classifiers / Conclusion and Future Directions
Book Synopsis Computational Modeling of Vision by : William Uttal
Download or read book Computational Modeling of Vision written by William Uttal and published by CRC Press. This book was released on 1999-02-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defines a unified theory of vision in which nearly independent components of visual stimuli are recombined and synthesized at high levels of neural processing to produce the richness of visual experience. The text illustrates how visual systems gather, process and reconstruct information about objects in two and three dimensions.
Download or read book CAD/CAM Abstracts written by and published by . This book was released on 1992 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Object Representation in Computer Vision II by : Jean Ponce
Download or read book Object Representation in Computer Vision II written by Jean Ponce and published by Springer Science & Business Media. This book was released on 1996-09-25 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the second International Workshop on Object Representation in Computer Vision, held in conjunction with ECCV '96 in Cambridge, UK, in April 1996. The 15 revised full papers contained in the book were selected from 45 submissions for presentation at the workshop. Also included are three invited contributions based on the talks by Takeo Kanade, Jan Koenderink, and Ram Nevatia as well as a workshop report by the volume editors summarizing several panel discussions and the general state of the art in the area.
Book Synopsis Interactive Co-segmentation of Objects in Image Collections by : Dhruv Batra
Download or read book Interactive Co-segmentation of Objects in Image Collections written by Dhruv Batra and published by Springer Science & Business Media. This book was released on 2011-11-09 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors survey a recent technique in computer vision called Interactive Co-segmentation, which is the task of simultaneously extracting common foreground objects from multiple related images. They survey several of the algorithms, present underlying common ideas, and give an overview of applications of object co-segmentation.
Book Synopsis 2D Object Detection and Recognition by : Yali Amit
Download or read book 2D Object Detection and Recognition written by Yali Amit and published by MIT Press. This book was released on 2002 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the computer detection and recognition of 2D objects in gray-level images.
Book Synopsis Practical Machine Learning for Computer Vision by : Valliappa Lakshmanan
Download or read book Practical Machine Learning for Computer Vision written by Valliappa Lakshmanan and published by "O'Reilly Media, Inc.". This book was released on 2021-07-21 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models
