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Download or read book Logical Foundations of Shape-based Object Recognition written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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Author : Michael John Gruninger
Publisher : National Library of Canada = Bibliothèque nationale du Canada
ISBN 13 : 9780612536937
Total Pages : 806 pages
Book Rating : 4.5/5 (369 download)
Download or read book Logical Foundations of Shape-based Object Recognition [microform] written by Michael John Gruninger and published by National Library of Canada = Bibliothèque nationale du Canada. This book was released on 2000 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Michael John Gruninger
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book Logical Foundations of Shape-based Object Recognition written by Michael John Gruninger and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has become evident in computational vision that there is a need to formalize the intuitions of existing vision systems. Any such formalization must allow the designer to explicitly reason about the capabilities and limitations of different representations and techniques. This thesis presents a logical axiomatization of shape-based object recognition in 2D scenes with occlusion and errors in edge detection, in a domain known as CardWorld. In particular, we introduce a family of eight theories which axiomatize the image and scene domain, polygonal shapes, depiction of shapes, reasoning about surface interiors, the depiction of surfaces as planar regions, the obscuring of surfaces in a scene, and the relationship between occlusion and depiction. We then introduce shape and depiction assumptions which allow us to restrict our attention to finite models of the CardWorld theories, and consequently specify propositional theories which are logically equivalent to the CardWorld theories. In the final part of the thesis, we consider the computational complexity of finding models of these propositional theories. We show that in general, these tasks are NP-hard, but by examining restricted classes of images, we can identify tractable subclasses of the problems.
Author : Jingying Chen
Publisher : CRC Press
ISBN 13 : 1439847851
Total Pages : 192 pages
Book Rating : 4.4/5 (398 download)
Download or read book Logo Recognition written by Jingying Chen and published by CRC Press. This book was released on 2018-10-08 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Used by companies, organizations, and even individuals to promote recognition of their brand, logos can also act as a valuable means of identifying the source of a document. E-business applications can retrieve and catalog products according to their logos. Governmental agencies can easily inspect goods using smart mobile devices that use logo recognition techniques. However, because logos are two-dimensional shapes of varying complexity, the recognition process can be challenging. Although promising results have been found for clean logos, they have not been as robust for noisy logos. Logo Recognition: Theory and Practice is the first book to focus on logo recognition, especially under noisy conditions. Beginning with an introduction to fundamental concepts and methods in pattern and shape recognition, it surveys advances in logo recognition. The authors also propose a new logo recognition system that can be used under adverse conditions such as broken lines, added noise, and occlusion. The proposed system introduces a novel polygonal approximation, a robust indexing scheme, and a new line segment Hausdorff distance (LHD) matching method that can handle more distortion and transformation types than previous techniques. In the first stage, raw logos are transformed into normalized line segment maps. In the second stage, effective line pattern features are used to index the database to generate a moderate number of likely models. In the third stage, an improved LHD measure screens and generates the best matches. A comprehensive overview of logo recognition, the book also presents successful applications of the technology and suggests directions for future research.
Author : M. Bennamoun
Publisher : Springer Science & Business Media
ISBN 13 : 1447137221
Total Pages : 352 pages
Book Rating : 4.4/5 (471 download)
Download or read book Object Recognition written by M. Bennamoun and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.
Author :
Publisher :
ISBN 13 :
Total Pages : 776 pages
Book Rating : 4.3/5 (91 download)
Download or read book American Doctoral Dissertations written by and published by . This book was released on 2002 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xiao Zhang
Publisher :
ISBN 13 :
Total Pages : 110 pages
Book Rating : 4.:/5 (43 download)
Download or read book Shape Theory Based Object Recognition written by Xiao Zhang and published by . This book was released on 1999 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Takashi Matsuyama
Publisher : Springer Science & Business Media
ISBN 13 : 1489908676
Total Pages : 290 pages
Book Rating : 4.4/5 (899 download)
Download or read book SIGMA written by Takashi Matsuyama and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has long been a dream to realize machines with flexible visual perception capability. Research on digital image processing by computers was initiated about 30 years ago, and since then a wide variety of image processing algorithms have been devised. Using such image processing algorithms and advanced hardware technologies, many practical ma chines with visual recognition capability have been implemented and are used in various fields: optical character readers and design chart readers in offices, position-sensing and inspection systems in factories, computer tomography and medical X-ray and microscope examination systems in hospitals, and so on. Although these machines are useful for specific tasks, their capabilities are limited. That is, they can analyze only simple images which are recorded under very carefully adjusted photographic conditions: objects to be recognized are isolated against a uniform background and under well-controlled artificial lighting. In the late 1970s, many image understanding systems were de veloped to study the automatic interpretation of complex natural scenes. They introduced artificial intelligence techniques to represent the knowl edge about scenes and to realize flexible control structures. The first author developed an automatic aerial photograph interpretation system based on the blackboard model (Naga1980). Although these systems could analyze fairly complex scenes, their capabilities were still limited; the types of recognizable objects were limited and various recognition vii viii Preface errors occurred due to noise and the imperfection of segmentation algorithms.
Author : Henryk Rybinski
Publisher : Springer
ISBN 13 : 354089876X
Total Pages : 760 pages
Book Rating : 4.5/5 (48 download)
Download or read book Transactions on Rough Sets IX written by Henryk Rybinski and published by Springer. This book was released on 2008-12-18 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the ninth volume of the Transactions on Rough Sets series. The 26 papers in it introduce new advances in the foundations and applications of artificial intelligence, engineering, image processing, logic, mathematics, medicine, music, and science.
Author : Thomas B. Sebastian
Publisher :
ISBN 13 :
Total Pages : 416 pages
Book Rating : 4.:/5 (532 download)
Download or read book Shape-based Object Recognition written by Thomas B. Sebastian and published by . This book was released on 2002 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. Ramani
Publisher : Springer Science & Business Media
ISBN 13 : 9783540528500
Total Pages : 564 pages
Book Rating : 4.5/5 (285 download)
Download or read book Knowledge Based Computer Systems written by S. Ramani and published by Springer Science & Business Media. This book was released on 1990-07-24 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents selected papers from KBCS '89, which is the second in a series of annual conferences hosted by the Knowledge Based Computer Systems Project funded by the Government of India with United Nations assistance. The papers are grouped into sections including: - AI applications - computer architecture and parallel processing - expert systems - intelligent tutoring systems - knowledge representation - logic programming - natural language understanding - pattern recognition - reasoning - search - activities at the KBCS Nodal Centres.
Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522552057
Total Pages : 2494 pages
Book Rating : 4.5/5 (225 download)
Download or read book Computer Vision: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-02-02 with total page 2494 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Author : Lotfi A. Zadeh
Publisher : Springer
ISBN 13 : 3319754084
Total Pages : 623 pages
Book Rating : 4.3/5 (197 download)
Download or read book Recent Developments and the New Direction in Soft-Computing Foundations and Applications written by Lotfi A. Zadeh and published by Springer. This book was released on 2018-05-28 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.
Author : Xingwei Yang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (858 download)
Download or read book Shape Based Object Detection and Recognition in Silhouettes and Real Images written by Xingwei Yang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer and Information Science
Author : Derek Hoiem
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457281
Total Pages : 172 pages
Book Rating : 4.6/5 (84 download)
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
Author : Suzanne G. Dunn
Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.:/5 (227 download)
Download or read book Using Logic in a Model-Based Approach to Object Recognition written by Suzanne G. Dunn and published by . This book was released on 1991 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: A model-based object recognition system, predicted on logic as a method of modeling, describing and identifying objects, is proposed. Users supply the object recognition system with models of known object classes in the form of production rules. The system describes each instance of an object found within an image scene as a collection of facts. The modeled rules act upon these facts in a Prolog environment to obtain an interpretation of the original image scene. Since users supply the object models and the Prolog environment supplies the interference mechanism for interpretation, the primary task of the object recognition system is the description process. For each object instance identified within the image scene, declarative statements are formulated which represent observer components, features or attributes of that object. The description of an object instance is restricted to its geometric components which are derived from a skeleton or stick-figure representation of a 2-D silhouette portrayal of an object found in the original image scene. Therefore, object classifications can be modeled in a general way so that the size and orientation of the object is independent of that model.
Author : Zbigniew Les
Publisher : Springer
ISBN 13 : 331914197X
Total Pages : 258 pages
Book Rating : 4.3/5 (191 download)
Download or read book Shape Understanding System written by Zbigniew Les and published by Springer. This book was released on 2015-02-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the third book presenting selected results of research on the further development of the shape understanding system (SUS) carried out by authors in the newly founded Queen Jadwiga Research Institute of Understanding. In this book the new term Machine Understanding is introduced referring to a new area of research aiming to investigate the possibility of building machines with the ability to understand. It is presented that SUS needs to some extent mimic human understanding and for this reason machines are evaluated according to the rules applied for the evaluation of human understanding. The book shows how to formulate problems and how it can be tested if the machine is able to solve these problems.
