[PDF] Free Form Three Dimensional Object Recognition eBook

Author : International Business Machines Corporation. Research Division
Publisher :
Page : 35 pages
File Size : 28,61 MB
Release : 1998
Category : Computer vision
ISBN :

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Abstract: "Three-dimensional object recognition problem addresses a number of significant research issues in computer vision: representation of a 3D object, identification of the object, robust estimation of its pose, and registration of multiple views of the object for automatic model construction. This paper surveys the previous work in three important topics of computer vision: representation, matching, and pose estimation of a 3D object. It also presents an overview of the free-form surface matching problem, and describes Cosmos, our framework for representing and recognizing free-form objects. This vision system recognizes arbitrarily curved 3D rigid objects from a single view using dense surface data. We present both the theoretical aspects of this work and the experimental results of a prototype recognition system based on Cosmos."

Author : Minsoo Suk
Publisher : Springer Science & Business Media
Page : 318 pages
File Size : 24,58 MB
Release : 2012-12-06
Category : Computers
ISBN : 4431682139

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Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza tion of objects of interest in a scene from input images. This problem is one of both theoretical and practical importance. On the theoretical side, it is an ideal vehicle for the study of the general area of computer vision since it deals with several important issues encountered in computer vision-for example, issues such as feature extraction, acquisition, representation and proper use of knowl edge, employment of efficient control strategies, coupling numerical and symbolic computations, and parallel implementation of algorithms. On the practical side, it has a wide range of applications in areas such as robot vision, autonomous navigation, automated inspection of industrial parts, and automated assembly.

Author : Anil K Jain
Publisher :
Page : 488 pages
File Size : 36,31 MB
Release : 1993-05-05
Category : Computers
ISBN :

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The design and construction of three-dimensional [3-D] object recognition systems has long occupied the attention of many computer vision researchers. The variety of systems that have been developed for this task is evidence both of its strong appeal to researchers and its applicability to modern manufacturing, industrial, military, and consumer environments. 3-D object recognition is of interest to scientists and engineers in several different disciplines due to both a desire to endow computers with robust visual capabilities, and the wide applications which would benefit from mature and robust vision systems. However, 3-D object recognition is a very complex problem, and few systems have been developed for actual production use; most existing systems have been developed for experimental use by researchers only. This edited collection of papers summarizes the state of the art in 3-D object recognition using examples of existing 3-D systems developed by leading researchers in the field. While most chapters describe a complete object recognition system, chapters on biological vision, sensing, and early processing are also included. The volume will serve as a valuable reference source for readers who are involved in implementing model-based object recognition systems, stimulating the cross-fertilisation of ideas in the various domains. The variety of topics on Image Communication is so broad that no one can be a specialist in all the topics, and the whole area is beyond the scope of a single volume, while the requirement of up to date information is ever increasing. This new closed-end book series is intended both as a comprehensive reference for those already active in the area of Image Communication, as well as providing newcomers with a foothold for commencing research. Each volume will comprise a state of the art work on the editor's/author's area of expertise, containing information until now scattered in many journals and proceedings.

Author : Herbert Freeman
Publisher : Elsevier
Page : 432 pages
File Size : 30,13 MB
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 0323150632

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Machine Vision for Three-Dimensional Scenes contains the proceedings of the workshop "Machine Vision - Acquiring and Interpreting the 3D Scene" sponsored by the Center for Computer Aids for Industrial Productivity (CAIP) at Rutgers University and held in April 1989 in New Brunswick, New Jersey. The papers explore the applications of machine vision in image acquisition and 3D scene interpretation and cover topics such as segmentation of multi-sensor images; the placement of sensors to minimize occlusion; and the use of light striping to obtain range data. Comprised of 14 chapters, this book opens with a discussion on 3D object recognition and the problems that arise when dealing with large object databases, along with solutions to these problems. The reader is then introduced to the free-form surface matching problem and object recognition by constrained search. The following chapters address the problem of machine vision inspection, paying particular attention to the use of eye tracking to train a vision system; images of 3D scenes and the attendant problems of image understanding; the problem of object motion; and real-time range mapping. The final chapter assesses the relationship between the developing machine vision technology and the marketplace. This monograph will be of interest to practitioners in the fields of computer science and applied mathematics.

Author : M. Bennamoun
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 46,43 MB
Release : 2012-12-06
Category : Computers
ISBN : 1447137221

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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 :
Page : pages
File Size : 23,35 MB
Release :
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This paper investigates a new approach to the recognition of 3D objects of arbitrary shape. The proposed solution follows the principle of model-based recognition using geometric 3D models and geometric matching. It is an alternative to the classical segmentation and primitive extraction approach and provides a perspective to escape its difficulties to deal with free-form shapes. Using the iterative closest point matching at the heart of the recognition, we propose means to extend its use to the recognition of 3D objects obtained from range data. Examples demonstrate the feasibility of this approach to free-form recognition.

Author : Tam Phuong Cao
Publisher : BoD – Books on Demand
Page : 363 pages
File Size : 21,44 MB
Release : 2011-04-01
Category : Computers
ISBN : 9533072229

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Vision-based object recognition tasks are very familiar in our everyday activities, such as driving our car in the correct lane. We do these tasks effortlessly in real-time. In the last decades, with the advancement of computer technology, researchers and application developers are trying to mimic the human's capability of visually recognising. Such capability will allow machine to free human from boring or dangerous jobs.

Author : Herbert Freeman
Publisher :
Page : 480 pages
File Size : 16,48 MB
Release : 1990
Category : Computers
ISBN :

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A framework for 3D recognition / Ruud M. Bolle and Andrea Califano -- The free-form surface matching problem / Paul J. Besl -- Object recognition by constrained search / W. Eric L. Grimson -- The use of characteristic-view classes for 3D object recognition / Ruye Wang and Herbert Freeman -- Interpretation of 3D medical scenes / C. Smets [and others] -- 3D motion estimation / T.S. Huang and A.N. Netravali -- Project LESTRADE : the design of a trainable machine vision inspection system / Herbert Freeman -- Fast 3D integrated circuit inspection / Arend van de Stadt and Albert Sicignano -- Segmentation and analysis of multi-sensor images / J.K. Aggarwal -- Occlusion-free sensor placement planning / Roger Y. Tsai and Kostantino TarabanisThe state of the art in real-time range mapping : a panel discussion / Joseph Wilder -- Generalized and separable Sobel operators / Per-Erik Danielsson and Olle Seger -- A fast lightstripe rangefinding system with smart VLSI sensor / Andrew Gruss, Takeo Kana ...