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Object Categories
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Book Synopsis Building Object Categories in Developmental Time by : Lisa Gershkoff-Stowe
Download or read book Building Object Categories in Developmental Time written by Lisa Gershkoff-Stowe and published by Psychology Press. This book was released on 2005-05-06 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a broad range of current research topics in category development. Its aim is to understand the perceptual and cognitive mechanisms that underlie category formation and how they change in developmental time. The chapters in this book are
Download or read book Object Categories written by Pekka Harni and published by . This book was released on 2010 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finnish architect Pekka Harni runs a design and architecture practice in Helsinki together with industrial designer Yuka Takahashi. Their collaboration results in a variety of work, of which this book on the classification of objects is just one part. Based on a morphological-functional consideration of the properties of household objects, the study proposes to organise the forms of artefacts, determine the significance of their parts and explain the relationships between objects and the environment, thus describing their most important basic properties while exploring the realm of functional form.
Download or read book Tool and Object written by Ralph Krömer and published by Springer Science & Business Media. This book was released on 2007-06-25 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Category theory is a general mathematical theory of structures and of structures of structures. It occupied a central position in contemporary mathematics as well as computer science. This book describes the history of category theory whereby illuminating its symbiotic relationship to algebraic topology, homological algebra, algebraic geometry and mathematical logic and elaboratively develops the connections with the epistemological significance.
Book Synopsis Toward Category-Level Object Recognition by : Jean Ponce
Download or read book Toward Category-Level Object Recognition written by Jean Ponce and published by Springer. This book was released on 2007-01-25 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.
Book Synopsis Video Object Segmentation by : Ning Xu
Download or read book Video Object Segmentation written by Ning Xu and published by Springer Nature. This book was released on with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Indoor Scene Recognition by 3-D Object Search by : Pascal Meißner
Download or read book Indoor Scene Recognition by 3-D Object Search written by Pascal Meißner and published by Springer Nature. This book was released on 2019-10-11 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on enabling mobile robots to recognize scenes in indoor environments, in order to allow them to determine which actions are appropriate at which points in time. In concrete terms, future robots will have to solve the classification problem represented by scene recognition sufficiently well for them to act independently in human-centered environments. To achieve accurate yet versatile indoor scene recognition, the book presents a hierarchical data structure for scenes – the Implicit Shape Model trees. Further, it also provides training and recognition algorithms for these trees. In general, entire indoor scenes cannot be perceived from a single point of view. To address this problem the authors introduce Active Scene Recognition (ASR), a concept that embeds canonical scene recognition in a decision-making system that selects camera views for a mobile robot to drive to so that it can find objects not yet localized. The authors formalize the automatic selection of camera views as a Next-Best-View (NBV) problem to which they contribute an algorithmic solution, which focuses on realistic problem modeling while maintaining its computational efficiency. Lastly, the book introduces a method for predicting the poses of objects to be searched, establishing the otherwise missing link between scene recognition and NBV estimation.
Book Synopsis ECOOP '88 European Conference on Object-Oriented Programming by : Stein Gjessing
Download or read book ECOOP '88 European Conference on Object-Oriented Programming written by Stein Gjessing and published by Springer Science & Business Media. This book was released on 1988-07-19 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Object-Oriented Programming (OOP) has attracted increasing attention during the last few years. OOP is now recognized as an important tool for making better and more flexible information systems. This book is the proceedings of the second European Conference on Object-Oriented Programming (ECOOP '88) that was held in Oslo, Norway, from August 15 to 17, 1988. The objectives of ECOOP '88 were to present the best international work in the field of OOP to interested persons from industry and academia, and to be a forum for the exchange of ideas and the growth of professional relationships. Each of the 103 papers submitted was subject to a thorough refereeing process. The 22 papers selected are collected in these proceedings together with one invited paper. These 23 papers from 13 different countries comprise the currently best international work in the field of OOP. The contents of the papers include areas such as: Theory, Languages, Didactics, Implementation, Applications, Concurrency and Databases. The interest in object-oriented programming is rapidly increasing, especially within the areas of Concurrency and Databases. With its 5 papers on concurrency and 7 papers on databases, the proceedings contain important new material on these subjects. This book is a must for persons who want to keep themselves up to date in the field of OOP.
Book Synopsis Generic Object Recognition Using Form & Function by : Louise Stark
Download or read book Generic Object Recognition Using Form & Function written by Louise Stark and published by World Scientific. This book was released on 1996 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a detailed record of the ?GRUFF? research project. The goal of the GRUFF project is to develop techniques for robotic vision systems to recognize objects by reasoning about their intended function rather than matching to a pre-defined database of 2-D object appearances or 3-D object shapes. The contributions of this work are: a demonstration of the feasibility of the ?form and function? approach to reasoning about 3-D shapes; a demonstration of the concept of using a small number of knowledge primitives as component building blocks in creating a function-based definition of an object category; and an indexing mechanism to make processing for recognition more efficient without any substantial decrease in correctness of classification. Results are given for the analysis of over 500 3-D shape descriptions created with a solid modeling tool and over 200 shape descriptions extracted from real laser range finder images.
Book Synopsis Object Categorization by : Sven J. Dickinson
Download or read book Object Categorization written by Sven J. Dickinson and published by Cambridge University Press. This book was released on 2009-09-07 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique multidisciplinary perspective on the problem of visual object categorization.
Book Synopsis Visual Saliency: From Pixel-Level to Object-Level Analysis by : Jianming Zhang
Download or read book Visual Saliency: From Pixel-Level to Object-Level Analysis written by Jianming Zhang and published by Springer. This book was released on 2019-01-21 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc. In this book, the authors present methods for both traditional and emerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient object detection. For low-level tasks, the authors focus on pixel-level image processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features for different types of readers. For computer vision and image processing practitioners: Efficient algorithms based on image distance transforms for two pixel-level saliency tasks; Promising deep learning techniques for two novel object-level saliency tasks; Deep neural network model pre-training with synthetic data; Thorough deep model analysis including useful visualization techniques and generalization tests; Fully reproducible with code, models and datasets available. For researchers interested in the intersection between digital topological theories and computer vision problems: Summary of theoretic findings and analysis of Boolean map distance; Theoretic algorithmic analysis; Applications in salient object detection and eye fixation prediction. Students majoring in image processing, machine learning and computer vision: This book provides up-to-date supplementary reading material for course topics like connectivity based image processing, deep learning for image processing; Some easy-to-implement algorithms for course projects with data provided (as links in the book); Hands-on programming exercises in digital topology and deep learning.
Author :Bhavani Thuraisingham Publisher :Springer Science & Business Media ISBN 13 :1447138589 Total Pages :237 pages Book Rating :4.4/5 (471 download)
Book Synopsis Security for Object-Oriented Systems by : Bhavani Thuraisingham
Download or read book Security for Object-Oriented Systems written by Bhavani Thuraisingham and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains papers from the OOPSLA-93 Conference Workshop on Security for Object-Oriented Systems, held in Washington DC, USA, on 26 September 1993. The workshop addressed the issue of how to introduce an acceptable level of security into object-oriented systems, as the use of such systems becomes increasingly widespread. The topic is approached from two different, but complementary, viewpoints: the incorporation of security into object-oriented systems, and the use of object-oriented design and modelling techniques for designing secure applications. The papers cover a variety of issues, relating to both mandatory and discretionary security, including security facilities of PCTE, information flow control, the design of multilevel secure data models, and secure database interoperation via role translation. The resulting volume provides a comprehensive overview of current work in this important area of research.
Book Synopsis Object-Oriented Information Engineering by : Stephen Montgomery
Download or read book Object-Oriented Information Engineering written by Stephen Montgomery and published by Academic Press. This book was released on 2012-12-02 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Object-Oriented Information Engineering: Analysis, Design, and Implementation discusses design, both its object-oriented and traditional development and analysis, on which the book gives much focus. The book begins with an introduction to information engineering and its phases, object-oriented information engineering, and object orientation. The text then moves on to more specific topics, such as business information requirements; detailed object modeling; business functions and subject areas; and individual object behaviors and object interactions. The book also explains the integration and validation of analysis models; object structure designs; and system designs and its different applications. The text is recommended for undergraduates and practitioners of computer and/or information engineers who want to learn more about object-oriented design, its relation with traditional design, and its analysis. The book is also for those who wish to contribute and conduct further studies in the field of object-oriented design.
Book Synopsis Object Recognition in Man, Monkey, and Machine by : Michael J. Tarr
Download or read book Object Recognition in Man, Monkey, and Machine written by Michael J. Tarr and published by MIT Press. This book was released on 1999-03-15 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition. These interconnected essays on three-dimensional visual object recognition present cutting-edge research by some of the most creative neuroscientific, cognitive, and computational scientists in the field. Cassandra Moore and Patrick Cavanagh take a classic demonstration, the perception of "two-tone" images, and turn it into a method for understanding the nature of object representations in terms of surfaces and the interaction between bottom-up and top-down processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize between exemplars of perceptually defined classes. Melvyn A. Goodale and G. Keith Humphrey use innovative psychophysical techniques to investigate dissociable aspects of visual and spatial processing in brain-injured subjects. D.I. Perrett, M.W. Oram, and E. Ashbridge combine neurophysiological single-cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint-dependent object recognition and mental rotation. Shimon Ullman also addresses possible mechanisms to account for viewpoint-dependent behavior, but from the perspective of machine vision. Finally, Philippe G. Schyns synthesizes work from many areas, to provide a coherent account of how stimulus class and recognition task interact. The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition.
Author :Marcus Johannes Naumer Publisher :Springer Science & Business Media ISBN 13 :1441956158 Total Pages :383 pages Book Rating :4.4/5 (419 download)
Book Synopsis Multisensory Object Perception in the Primate Brain by : Marcus Johannes Naumer
Download or read book Multisensory Object Perception in the Primate Brain written by Marcus Johannes Naumer and published by Springer Science & Business Media. This book was released on 2010-07-03 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: It should come as no surprise to those interested in sensory processes that its research history is among the longest and richest of the many systematic efforts to understand how our bodies function. The continuing obsession with sensory systems is as much a re?ection of the fundamental need to understand how we experience the physical world as it is to understand how we become who we are based on those very experiences. The senses function as both portal and teacher, and their individual and collective properties have fascinated scientists and philosophers for millennia. In this context, the attention directed toward specifying their properties on a sense-by-sense basis that dominated sensory research in the 20th century seems a prelude to our current preoccupation with how they function in concert. Nevertheless, it was the concentrated effort on the operational principles of in- vidual senses that provided the depth of understanding necessary to inform current efforts to reveal how they act cooperatively. We know that the information provided by any individual sensory modality is not always veridical, but is subject to a myriad of modality-speci?c distortions. Thus, the brain’s ability to compare across the senses and to integrate the information they provide is not only a way to examine the accuracy of any individual sensory channel but also a way to enhance the collective information they make available to the brain.
Book Synopsis Visual Object Recognition by : Kristen Thielscher
Download or read book Visual Object Recognition written by Kristen Thielscher and published by Springer Nature. This book was released on 2022-05-31 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions
Book Synopsis Object-Based Distributed Programming by : Rachid Guerraoui
Download or read book Object-Based Distributed Programming written by Rachid Guerraoui and published by Springer Science & Business Media. This book was released on 1994-05-27 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest has grown rapidly over the past dozen years in the application of object-oriented programming and methods to the development of distributed, open systems. This volume presents the proceedings of a workshop intended to assess the current state of research in this field and to facilitate interaction between groups working on very different aspects of object-oriented distributed systems. The workshop was held as part of the 1993 European Conference on Object-Oriented Programming (ECOOP '93). Over fifty people submitted position papers and participated in the workshop, and almost half presented papers. The presented papers were carefully reviewed and revised after the workshop, and 14 papers were selected for this volume.
Book Synopsis Integrating Computational and Neural Findings in Visual Object Perception by : Judith C. Peters
Download or read book Integrating Computational and Neural Findings in Visual Object Perception written by Judith C. Peters and published by Frontiers Media SA. This book was released on 2016-06-29 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: The articles in this Research Topic provide a state-of-the-art overview of the current progress in integrating computational and empirical research on visual object recognition. Developments in this exciting multidisciplinary field have recently gained momentum: High performance computing enabled breakthroughs in computer vision and computational neuroscience. In parallel, innovative machine learning applications have recently become available for datamining the large-scale, high resolution brain data acquired with (ultra-high field) fMRI and dense multi-unit recordings. Finally, new techniques to integrate such rich simulated and empirical datasets for direct model testing could aid the development of a comprehensive brain model. We hope that this Research Topic contributes to these encouraging advances and inspires future research avenues in computational and empirical neuroscience.
