-PDF Download- Describing And Recognizing 3 D Objects Using Surface Properties EBOOK

Describing and Recognizing 3-D Objects Using Surface Properties

Author: Ting-Jun Fan

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 150

ISBN-13: 1461244668

Surface properties play a very important role in many perception tasks. Object recognition, navigation, and inspection use surface properties ex tensively. Characterizing surfaces at different scales in given data is often the first and possibly the most important step. Most early research in ma chine perception relied on only very coarse characterization of surfaces. In the last few years, surface characterization has been receiving due attention. Dr. T. J. Fan is one of the very few researchers who designed and im plemented a complete system for object recognition. He studied issues re lated to characterization of surfaces in the context of object recognition, and then uses the features thus developed for recognizing objects. He uses a multi-view representation of 3-D objects for recognition, and he devel ops techniques for the segmentation of range images to obtain features for recognition. His matching approach also allows him to recognize objects from their partial views in the presence of other occluding objects. The efficacy of his approach is demonstrated in many examples.

Advances in Structural and Syntactic Pattern Recognition

Author: H Bunke

Publisher: World Scientific

Published: 1993-02-23

Total Pages: 636

ISBN-13: 9814505153

DOWNLOAD EBOOK →

Pattern recognition is an active area of research with many applications, some of which have reached commercial maturity. Structural and syntactic methods are very powerful. They are based on symbolic data structures together with matching, parsing, and reasoning procedures that are able to infer interpretations of complex input patterns. This book gives an overview of the latest developments and achievements in the field. Contents:Recent Advances in String Matching (H Bunke)A New Efficient Method to Represent and Process Proximity and Similarity in Sets of Complex Objects (H Noltemeier)A Quick Way for Relational Matching: Morphology (R M Haralick et al.)Understanding Neural Networks for Grammatical Inference and Recognition (A Sanfeliu & R Alquezar)Some Recent Results on Stochastic Language Modelling (A Corazza et al.)Background Structure in Document Images (H S Baird)Automatic Object Modelization in Computer Vision (P Gros & R Mohr)Object Recognition by a Robust Matching Technique (R Salzbrunn et al.)PDL-HM: Morphological and Syntactic Shape Classification Algorithm. Real-Time Application to Fish Species Classification (H Arnarson & L F Pau et al.)Selection of Landmarks Based Upon 3D and Iconic Properties (S Tsuji & S Tsuji)and other papers Readership: Computer scientists. keywords:

Modeling in Computer Graphics

Author: Bianca Falcidieno

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 465

ISBN-13: 3642781144

DOWNLOAD EBOOK →

In the history of technology, many fields have passed from an initial stage of empirical recipes to a mature stage where work is based on formal theories and procedures. This transition is made possible through a process called "modeling". Also Computer Graphics as a separate field of Computer Science makes extensive use of formal theories and procedures of modeling, often derived from related disciplines such as mathematics and physics. Modeling makes different application results consistent, unifying varieties of techniques and formal approaches into a smaller number of models by generalizing and abstracting the knowledge in Computer Graphics. This volume presents a selection of research papers submitted to the conference "Modeling in Computer Graphics: Methods and Applications" held at the Research Area of the National Research Council in Genoa, Italy, on June 28 -July 1, 1993. This meeting was the ideal continuation of a previous conference organized in Tokyo, Japan, in April 1991. The success and the variety of research themes discussed at that meeting suggested to promote a new working conference on methods and applications of modeling to be held in Italy two years later.

Digital Image Computing: Techniques and Applications

Author: Changming Sun

Publisher: CSIRO PUBLISHING

Published: 2003-12-01

Total Pages: 916

ISBN-13: 0643098836

DOWNLOAD EBOOK →

Digital Image Computing: Techniques and Applications is the premier biennial conference in Australia on the topics of image processing and image analysis. This seventh edition of the proceedings has seen an unprecedented level of submission, on such diverse areas as: Image processing; Face recognition; Segmentation; Registration; Motion analysis; Medical imaging; Object recognition; Virtual environments; Graphics; Stereo-vision; and Video analysis. These two volumes contain all the 108 accepted papers and five invited talks that were presented at the conference. These two volumes provide the Australian and international imaging research community with a snapshot of current theoretical and practical developments in these areas. They are of value to any engineer, computer scientist, mathematician, statistician or student interested in these matters.

Natural Object Recognition

Author: Thomas M. Strat

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 186

ISBN-13: 1461229324

DOWNLOAD EBOOK →

Natural Object Recognition presents a totally new approach to the automation of scene understanding. Rather than attempting to construct highly specialized algorithms for recognizing physical objects, as is customary in modern computer vision research, the application and subsequent evaluation of large numbers of relatively straightforward image processing routines is used to recognize natural features such as trees, bushes, and rocks. The use of contextual information is the key to simplifying the problem to the extent that well understood algorithms give reliable results in ground-level, outdoor scenes.

Machine Vision for Three-Dimensional Scenes

Author: Herbert Freeman

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 432

ISBN-13: 0323150632

DOWNLOAD EBOOK →

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.

Segmentation and Recovery of Superquadrics

Author: Ales Jaklic

Publisher: Springer Science & Business Media

Published: 2000-09-30

Total Pages: 318

ISBN-13: 9780792366010

DOWNLOAD EBOOK →

A representation of objects by their parts is the dominant strategy for representing complex 3D objects in many disciplines. In computer vision and robotics, superquadrics are among the most widespread part models. Superquadrics are a family of parametric models that cover a wide variety of smoothly changing 3D symmetric shapes, which are controlled with a small number of parameters and which can be augmented with the addition of global and local deformations. The book covers, in depth, the geometric properties of superquadrics. The main contribution of the book is an original approach to the recovery and segmentation of superquadrics from range images. Several applications of superquadrics in computer vision and robotics are thoroughly discussed and, in particular, the use of superquadrics for range image registration is demonstrated. Audience: The book is intended for readers of all levels who are familiar with and interested in computer vision issues.

Multiresolution Image Shape Description

Author: John M. Gauch

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 130

ISBN-13: 1461228328

DOWNLOAD EBOOK →

Much of our understanding of the relationships among geometric struc tures in images is based on the shape of these structures and their relative orientations, positions and sizes. Thus, developing quantitative methods for capturing shape information from digital images is an important area for computer vision research. This book describes the theory, implemen tation, and application of two multi resolution image shape description methods. The author begins by motivating the need for quantitative methods for describing both the spatial and intensity variations of struc tures in grey-scale images. Two new methods which capture this informa tion are then developed. The first, the intensity axis of symmetry, is a collection of branching and bending surfaces which correspond to the skeleton of the image. The second method, multiresolution vertex curves, focuses on surface curvature properties as the image is blurred by a sequence of Gaussian filters. Implementation techniques for these image shape descriptions are described in detail. Surface functionals are mini mized subject to symmetry constraints to obtain the intensity axis of symmetry. Robust numerical methods are developed for calculating and following vertex curves through scale space. Finally, the author demon strates how grey-scale images can be segmented into geometrically coher ent regions using these shape description techniques. Building quantita tive analysis applications in terms of these visually sensible image regions promises to be an exciting area of biomedical computer vision research. v Acknowledgments This book is a corrected and revised version of the author's Ph. D.

Object Recognition

Author: M. Bennamoun

Publisher: Springer Science & Business Media

Published: 2001-12-12

Total Pages: 376

ISBN-13: 9781852333980

DOWNLOAD EBOOK →

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.

Advances In Manufacturing Technology VIII

Author: K Case

Publisher: CRC Press

Published: 2004-01-14

Total Pages: 880

ISBN-13: 0203211618

DOWNLOAD EBOOK →

This volume comprises the Proceedings of the Tenth National Conference on Manufacturing Research held at the University of Technology, Loughborough, UK, in September 1994, the latest in a series of meetings first convened in 1985, and the first to be published by Taylor & Francis Ltd.; Keith Case and Steven Newman, the Conference Chairs, the book contains R. H. Weston's keynote address, "Requirements and Trends in Manufacturing Systems", and over 140 contributions, which together represent the leading edge, state-of-the-art knowledge in the area of manufacturing and production engineering and management. The contributions are organized by theme: process planning; systems integration and modelling; simulation and scheduling; concurrent engineering and design; process control; and inspection; and thus demonstrate the enormous range of topics that manufacturing research embraces and their relevance to improving current industrial practice.