Object Recognition From Range Images
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Three Dimensional Object Recognition From Range Images
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Author : Minsoo Suk
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Three Dimensional Object Recognition From Range Images written by Minsoo Suk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Object Recognition From Range Images
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Author : Richard Lee Hoffman
language : en
Publisher:
Release Date : 1986
Object Recognition From Range Images written by Richard Lee Hoffman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computer vision categories.
Analysis And Interpretation Of Range Images
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Author : Ramesh C. Jain
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Analysis And Interpretation Of Range Images written by Ramesh C. Jain and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Computer vision researchers have been frustrated in their attempts to automatically derive depth information from conventional two-dimensional intensity images. Research on "shape from texture", "shape from shading", and "shape from focus" is still in a laboratory stage and had not seen much use in commercial machine vision systems. A range image or a depth map contains explicit information about the distance from the sensor to the object surfaces within the field of view in the scene. Information about "surface geometry" which is important for, say, three-dimensional object recognition is more easily extracted from "2 1/2 D" range images than from "2D" intensity images. As a result, both active sensors such as laser range finders and passive techniques such as multi-camera stereo vision are being increasingly utilized by vision researchers to solve a variety of problems. This book contains chapters written by distinguished computer vision researchers covering the following areas: Overview of 3D Vision Range Sensing Geometric Processing Object Recognition Navigation Inspection Multisensor Fusion A workshop report, written by the editors, also appears in the book. It summarizes the state of the art and proposes future research directions in range image sensing, processing, interpretation, and applications. The book also contains an extensive, up-to-date bibliography on the above topics. This book provides a unique perspective on the problem of three-dimensional sensing and processing; it is the only comprehensive collection of papers devoted to range images. Both academic researchers interested in research issues in 3D vision and industrial engineers in search of solutions to particular problems will find this a useful reference book.
3 D Object Recognition In Range Images On A Multiprocessor
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Author : Larry A. Nuttal
language : en
Publisher:
Release Date : 1987
3 D Object Recognition In Range Images On A Multiprocessor written by Larry A. Nuttal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computer vision categories.
Appearance Based Object Recognition In Range Images With Partitioned Local Feature Histograms
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Author : Shan Jiang
language : en
Publisher:
Release Date : 2004
Appearance Based Object Recognition In Range Images With Partitioned Local Feature Histograms written by Shan Jiang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with categories.
Polyhedral Object Recognition From Range Images
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Author : Andreas Siebert
language : en
Publisher:
Release Date : 1991
Polyhedral Object Recognition From Range Images written by Andreas Siebert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Object Recognition
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Author : M. Bennamoun
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Object Recognition written by M. Bennamoun and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Object Recognition In Range Images Using Cad Databases
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Author :
language : en
Publisher:
Release Date : 1991
Object Recognition In Range Images Using Cad Databases written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
An aspect graph plays an important role in three dimensional object recognition. Its represents the three-dimensional shape of an object by its two dimensional qualitative views as seen from various viewpoints. To create the aspect graph of an object, the viewpoint space is partitioned into regions, each of which corresponds to qualitatively similar projections of the object. Algorithms for creating aspect graphs of polyhedral objects have been developed. We developed an algorithm to compute the aspect graph of a curved object. Our approach partitions the viewpoint space by computing boundary viewpoints from the shape descriptions of the object given in a computer aided design database. These computations are formulated from the understanding of visual events and the locations of corresponding viewpoints. We also studied new visual events for piecewise smooth objects.
Feature Less Single View 3d Object Recognition In Range Images Using Invariants
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Author : Manjit Ray
language : en
Publisher:
Release Date : 2000
Feature Less Single View 3d Object Recognition In Range Images Using Invariants written by Manjit Ray and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computer vision categories.
This work seeks to demonstrate how invariants can be employed in the recognition of objrcts with articulated components in single range images. Invariants are functions of object feature configurations that remain unchanged under the action of different transformation groups. Each object is constrained to be one of a pre-defined set of models. An individual model is represented by an invariant surface in a high-dimensional canonical frame with the surface being compactly described using wavelets. The framework employed does not require the detection of discrete features from the range image and uses scale-space invariants to achieve some degree of resistance to noise and occlusion.
How Well Performs Free Form 3d Object Recognition From Range Images
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Author :
language : en
Publisher:
Release Date :
How Well Performs Free Form 3d Object Recognition From Range Images written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
This paper investigates the recognition performance of a geometric matching approach to the recognition of free-form objects obtained from range images. The heart of this approach is a closest point matching algorithm which, starting from an initial configuration of two rigid objects, iteratively finds their best correspondence. While the effective performance of this algorithm is known to depend largely on the chosen set of initial configurations, this paper investigates the quantitative nature of this dependence. In essence, we experimentally measure the range of successful configurations for a set of test objects and derive quantitative rules for the recognition strategy. These results show the conditions under which the closest point matching algorithm can be successfully applied to free-form 3D object recognition and help to design a reliable and cost-effective recognition system.
