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Hierarchical Object Representations In The Visual Cortex And Computer Vision
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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 Hierarchical Object Representations in the Visual Cortex and Computer Vision by :
Download or read book Hierarchical Object Representations in the Visual Cortex and Computer Vision written by and published by . This book was released on 2016 with total page 0 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 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 Structured Computer Vision by : S Tanimoto
Download or read book Structured Computer Vision written by S Tanimoto and published by Elsevier. This book was released on 2014-08-05 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structured Computer Vision
Book Synopsis Hierarchical Neural Networks for Image Interpretation by : Sven Behnke
Download or read book Hierarchical Neural Networks for Image Interpretation written by Sven Behnke and published by Springer Science & Business Media. This book was released on 2003-08-21 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.
Book Synopsis Computer Vision Systems by : Allen Hanson
Download or read book Computer Vision Systems written by Allen Hanson and published by Elsevier. This book was released on 1978-01-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.
Book Synopsis Computer Vision - ECCV 2014 Workshops by : Lourdes Agapito
Download or read book Computer Vision - ECCV 2014 Workshops written by Lourdes Agapito and published by Springer. This book was released on 2015-03-19 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included.
Book Synopsis On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities by : Jens Spehr
Download or read book On Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities written by Jens Spehr and published by Springer. This book was released on 2014-11-13 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model the environment of the vehicle for an efficient and robust interpretation of the scene in real-time.
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 Computer Vision – ECCV 2018 Workshops by : Laura Leal-Taixé
Download or read book Computer Vision – ECCV 2018 Workshops written by Laura Leal-Taixé and published by Springer. This book was released on 2019-01-22 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.
Book Synopsis Artificial Neural Networks: Biological Inspirations – ICANN 2005 by : Wlodzislaw Duch
Download or read book Artificial Neural Networks: Biological Inspirations – ICANN 2005 written by Wlodzislaw Duch and published by Springer. This book was released on 2007-05-22 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
Book Synopsis Visual Object Recognition by : Kristen Grauman
Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 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 Brain-Inspired Computing by : Lucio Grandinetti
Download or read book Brain-Inspired Computing written by Lucio Grandinetti and published by Springer. This book was released on 2014-10-16 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Brain-inspired Computing, BrainComp 2013, held in Cetraro, Italy, in July 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as brain structure and function as a neuroscience perspective, computational models and brain-inspired computing, HPC and visualization for human brain simulations.
Book Synopsis Shape Perception in Human and Computer Vision by : Sven J. Dickinson
Download or read book Shape Perception in Human and Computer Vision written by Sven J. Dickinson and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive and authoritative text/reference presents a unique, multidisciplinary perspective on Shape Perception in Human and Computer Vision. Rather than focusing purely on the state of the art, the book provides viewpoints from world-class researchers reflecting broadly on the issues that have shaped the field. Drawing upon many years of experience, each contributor discusses the trends followed and the progress made, in addition to identifying the major challenges that still lie ahead. Topics and features: examines each topic from a range of viewpoints, rather than promoting a specific paradigm; discusses topics on contours, shape hierarchies, shape grammars, shape priors, and 3D shape inference; reviews issues relating to surfaces, invariants, parts, multiple views, learning, simplicity, shape constancy and shape illusions; addresses concepts from the historically separate disciplines of computer vision and human vision using the same “language” and methods.
Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski
Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2015-06-04 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.
Book Synopsis From Associations to Rules by : Robert Matthew French
Download or read book From Associations to Rules written by Robert Matthew French and published by World Scientific. This book was released on 2008 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a host of connectionist models of cognition and behavior. The major areas covered are high-level cognition, language, categorization and visual perception, and sensory and attentional processing. All of the articles cover unpublished research work. The key contribution of this book is that it focuses exclusively on the advances in connectionist modeling in psychology. The papers are relatively short, and were explicitly written to be accessible to both connectionist modelers and experimental psychologists. Sample Chapter(s). Introduction (96 KB). Chapter 1: A Connectionist Approach to Modelling the Flexible Control of Routine Activities (654 KB). Contents: High-Level Cognition: A Connectionist Approach to Modelling the Flexible Control of Routine Activities (N Ruh et al.); Associative and Connectionist Accounts of Biased Contingency Detection in Humans (S C Musca et al.); On the Origin of False Memories: At Encoding or at Retrieval? OCo A Contextual Retrieval Analysis (E J Davelaar); Another Reason Why We Should Look After Our Children (J A Bullinaria); Language: A Multimodal Model of Early Child Language Acquisition (A Nyamapfene); Constraints on Generalisation in a Self-Organising Model of Early Word Learning (J Mayor & K Plunkett); Self-Organizing Word Representations for Fast Sentence Processing (S L Frank); Grain-Size Effects in Reading: Insights from Connectionist Models of Impaired Reading (G Pagliuca & P Monaghan); Using Distributional Methods to Explore the Systematicity between Form and Meaning in British Sign Language (J P Levy & N Thompson); Categorization and Visual Perception: Transient Attentional Enhancement During the Attentional Blink: EEG Correlates of the ST 2 Model (S Chennu et al.); A Dual-Memory Model of Categorization in Infancy (G Westermann & D Mareschal); A Dual-Layer Model of High-Level Perception (J W Han et al.); Sensory and Attentional Processing: Processing Symbolic Sequences Using Echo-State Networks (M Cernanskcents & P Tino); Neural Models of Head-Direction Cells (P Zeidman & J A Bullinaria); Recurrent Self-Organization of Sensory Signals in the Auditory Domain (C Delb(r)); Reconstruction of Spatial and Chromatic Information from the Cone Mosaic (D Alleysson et al.); The Connectivity and Performance of Small-World and Modular Associative Memory Models (W-L Chen et al.); Connectionist Hypothesis About an Ontogenetic Development of Conceptually Driven Cortical Anisotropy (M Mermillod et al.). Readership: Academics and researchers involved in modeling of cognition, and psycholo
Book Synopsis Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts by : Pomplun, Marc
Download or read book Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts written by Pomplun, Marc and published by IGI Global. This book was released on 2012-11-30 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--
