Object Representation in Computer Vision

This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field ...

Object Representation in Computer Vision

Author: Martial Hebert

Publisher: Springer Science & Business Media

ISBN: 9783540604778

Page: 366

View: 390

This book documents the scientific outcome of the International NSF-ARPA Workshop on Object Representation in Computer Vision, held in New York City in December 1994 with invited participants chosen among the recognized experts in the field. The volume presents the complete set of papers in revised full-length versions. In addition, the first paper is a report on the workshop in which the panel discussions as well as the conclusions and recommendations reached by the workshop participants are summarized. Altogether the volume provides an excellent, in-depth view of the state of the art in this active area of research and applications.

Object Representation in Computer Vision II

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.

Object Representation in Computer Vision II

Author: England) Eccv 96 International Workshop (1996 Cambridge

Publisher: Springer Science & Business Media

ISBN: 9783540617501

Page: 401

View: 526

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.

Hierarchical Object Representations in the Visual Cortex and Computer Vision

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.

Hierarchical Object Representations in the Visual Cortex and Computer Vision

Author: Antonio Rodríguez-Sánchez

Publisher: Frontiers Media SA

ISBN: 2889197980

Page:

View: 233

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.

Object Representation in Computer Vision II

Object. Representation. in. Computer. Vision. Jean Ponce1, Martial Hebert2,
Andrew Zisserman3 1 Beckman Institute, University of Illinois, Urbana, IL 61801,
USA 2 Robotics Institute, Carnegie-Mellon University, Pittsburgh, PA 15213, USA
3 ...

Object Representation in Computer Vision II

Author: England) Eccv 96 International Workshop (1996 Cambridge

Publisher: Springer Science & Business Media

ISBN: 9783540617501

Page: 401

View: 888

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.

Discrete Representation of Spatial Objects in Computer Vision

Toward Non-Parametric Digital Shape Representation and Recovery. In Hebert,
M., Ponce, J., Boult, T., and Gross, A. (eds.): Object Representation in Computer
Vision, Lecture Notes in Computer Science 994, Springer- Verlag, Berlin, ...

Discrete Representation of Spatial Objects in Computer Vision

Author: L.J. Latecki

Publisher: Springer Science & Business Media

ISBN: 9780792349129

Page: 216

View: 924

One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.

Visual Object Recognition

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.

Visual Object Recognition

Author: Kristen Grauman

Publisher: Morgan & Claypool Publishers

ISBN: 1598299689

Page: 163

View: 166

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.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

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.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

Author: Derek Hoiem

Publisher: Morgan & Claypool Publishers

ISBN: 1608457281

Page: 170

View: 300

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

Computer Vision

For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects i

Computer Vision

Author: Christopher W. Tyler

Publisher: CRC Press

ISBN: 9781439817131

Page: 292

View: 910

The typical computational approach to object understanding derives shape information from the 2D outline of the objects. For complex object structures, however, such a planar approach cannot determine object shape; the structural edges have to be encoded in terms of their full 3D spatial configuration. Computer Vision: From Surfaces to 3D Objects is the first book to take a full approach to the challenging issue of veridical 3D object representation. It introduces mathematical and conceptual advances that offer an unprecedented framework for analyzing the complex scene structure of the world. An Unprecedented Framework for Complex Object Representation Presenting the material from both computational and neural implementation perspectives, the book covers novel analytic techniques for all levels of the surface representation problem. The cutting-edge contributions in this work run the gamut from the basic issue of the ground plane for surface estimation through mid-level analyses of surface segmentation processes to complex Riemannian space methods for representing and evaluating surfaces. State-of-the-Art 3D Surface and Object Representation This well-illustrated book takes a fresh look at the issue of 3D object representation. It provides a comprehensive survey of current approaches to the computational reconstruction of surface structure in the visual scene.

Three dimensional Computer Vision

His theoretical account is illustratedwith the results of actual working programs.Three-Dimensional Computer Vision proposes solutions toproblems arising from a specific robotics scenario in which a system must perceive and act.

Three dimensional Computer Vision

Author: Olivier Faugeras

Publisher: MIT Press

ISBN: 9780262061582

Page: 663

View: 476

This monograph by one of the world's leading vision researchers provides a thorough,mathematically rigorous exposition of a broad and vital area in computer vision: the problems andtechniques related to three-dimensional (stereo) vision and motion. The emphasis is on usinggeometry to solve problems in stereo and motion, with examples from navigation and objectrecognition.Faugeras takes up such important problems in computer vision as projective geometry,camera calibration, edge detection, stereo vision (with many examples on real images), differentkinds of representations and transformations (especially 3-D rotations), uncertainty and methods ofaddressing it, and object representation and recognition. His theoretical account is illustratedwith the results of actual working programs.Three-Dimensional Computer Vision proposes solutions toproblems arising from a specific robotics scenario in which a system must perceive and act. Movingabout an unknown environment, the system has to avoid static and mobile obstacles, build models ofobjects and places in order to be able to recognize and locate them, and characterize its own motionand that of moving objects, by providing descriptions of the corresponding three-dimensionalmotions. The ideas generated, however, can be used indifferent settings, resulting in a general bookon computer vision that reveals the fascinating relationship of three-dimensional geometry and theimaging process.Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratoryat INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique inParis.

Object Categorization

A unique multidisciplinary perspective on the problem of visual object categorization.

Object Categorization

Author: Sven J. Dickinson

Publisher: Cambridge University Press

ISBN: 0521887380

Page: 536

View: 918

A unique multidisciplinary perspective on the problem of visual object categorization.

New Trends in Computer Graphics

Introduction Object representation plays an important role in computer graphics,
where object models are used to produce digital images of the real world, and in
computer vision, where object models are used to achieve an automatic ...

New Trends in Computer Graphics

Author: Nadia Magnenat-Thalmann

Publisher: Springer Science & Business Media

ISBN: 3642834922

Page: 682

View: 839

New Trends in Computer Graphics contains a selection of research papers submitted to Computer Graphics International '88 (COl '88). COl '88 is the Official Annual Conference of the Computer Graphics Society. Since 1982, this conference ha~ been held in Tokyo. This year, it is taking place in Geneva, Switzerland. In 1989, it will be held in Leeds, U. K. , in 1990 in Singapore, in 1991 in U. S. A. and in 1992 in Montreal, Canada. Over 100 papers were submitted to CGI '88 and 61 papers were selected by the International Program Committee. Papers have been grouped into 6 chapters. The flrst chapter is dedicated to Computer Animation because it deals with all topics presented in the other chapters. Several animation systems are described as well as speciflc subjects like 3D character animation, quaternions and splines. The second chapter is dedicated to papers on Image Synthesis, il1 particular new shading models and new algorithms for ray tracing are presented. Chapter 3 presents several algorithms for geometric modeling and new techniques for the creation and manipulation of curves, surfaces and solids and their applications to CAD. In Chapter 4, an important topic is presented: the specification of graphics systems and images using l~nguages and user-interfaces. The last two chapters are devoted to applications in sciences, medicine, engineering, art and business.

Computer Vision and Image Processing

How can such eral subject area . We consider the following a 3 - D model be
stored in a computer ? Difsubject areas relevant to the object - recog . ferent
object - representation schemes give nition problem : distinct answers to this
question .

Computer Vision and Image Processing

Author:

Publisher:

ISBN:

Page:

View: 328

Computer Vision Beyond the Visible Spectrum Methods and Applications CVBVS 2000

Key Words : computer vision , 3D object recognition , multi - resolution mesh ,
range image , free - form process ( ) : derive an internal representation of a scene
from the sensed input data firstly , and match it with the model representation ...

Computer Vision Beyond the Visible Spectrum  Methods and Applications  CVBVS 2000

Author: IEEE Computer Society

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

ISBN: 9780769506401

Page: 130

View: 673

Annotation Proceedings of a June 2000 workshop, looking at applications of computer vision in the commercial and military domains, and discussing new possibilities on solving longstanding problems in the field and expanding on new application territories using non-visible sensors. Themes are infrared identification, object recognition, synthetic aperture radar image analysis, and infrared image analysis. Specific topics include complexity analysis of ATR algorithms based on invariants, cancer recognition of ultrasound images, recognition of occluded targets using stochastic models, and thermal imaging for anxiety detection. Lacks a subject index. Annotation copyrighted by Book News, Inc., Portland, OR.

Proceedings International Conference on Recent Advances in 3 D Digital Imaging and Modeling

Spline representation in 3 - d vision . In M . Herbert , J . Ponce , T . Boult , and A .
Gross , editors , Object Representation in Computer Vision , Lecture Notes in
Computer Science 994 , pages 177 – 191 . Springer , 1995 . [ 24 ] I . S . Kweon ,
R ...

Proceedings International Conference on Recent Advances in 3 D Digital Imaging and Modeling

Author: National Research Council Canada

Publisher: IEEE Computer Society

ISBN: 9780818679438

Page: 353

View: 959