Integrating Graphics And Vision For Object Recognition

Author : Mark R. Stevens,J. Ross Beveridge
Publisher : Springer Science & Business Media
Page : 190 pages
File Size : 43,6 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781475755244

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Integrating Graphics and Vision for Object Recognition by Mark R. Stevens,J. Ross Beveridge Pdf

Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text.

Author : V.F. Leavers
Publisher : Springer
Page : 201 pages
File Size : 43,7 Mb
Release : 1992-09-10
Category : Computers
ISBN : 3540197230

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Shape Detection in Computer Vision Using the Hough Transform by V.F. Leavers Pdf

Shape detection techniques are an important aspect of computer vision and are used to transform raw image data into the symbolic representations needed for object recognition and location. However, the availability and application of research data relating to shape detection has traditionally been limited by a lack of computational and mathematical skill on the part of the intended end-user. As a result progress in areas such as the automation of visual inspection techniques, where shape detection couls play a pivotal role, has been relatively slow. In this volume, Violet Leavers, an established author and researcher in the field, examines the Hough Transform, a technique which is particularly relevant to industrial applications. By making computational recipes and advice available to the non-specialist, the book aims to popularize the technique, and to provide a bridge between low level computer vision tasks and specialist applications. In addition, Shape Detection in Computer Vision Using the Hough Transform assesses practical and theoretical issues which were previously only available in scientific literature in a way which is easily accessible to the non-specialist user. Shape Detection in Computer Vision Using the Hough Transform fills an obvious gap in the existing market. It is an important textbook which will provide postgraduate students with a thorough grounding in the field, and will also be of interest to junior research staff and program designers.

Author : Markus Groß
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 52,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642850233

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Visual Computing by Markus Groß Pdf

Advances in computing and communications have brought about an increasing demand for visual information. Visual Computing addresses the principles behind "visual technology", and provides readers with a good understanding of how the integration of Computer Graphics, Visual Perception and Imaging is achieved. Included in the book is an overview of important research areas within this integration which will be useful for further work in the field. Foundations of visual perception and psychophysics are presented as well as basic methods of imaging and computer vision. This book serves as an excellent reference and textbook for those who wish to apply or study "visual computing technology."

Author : Toshiyasu Kunii
Publisher : Springer Verlag
Page : 963 pages
File Size : 40,7 Mb
Release : 1992
Category : Computers
ISBN : 0387701036

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Visual Computing by Toshiyasu Kunii Pdf

Author : Tosiyasu Kunii
Publisher : Springer
Page : 988 pages
File Size : 41,5 Mb
Release : 1992-07-28
Category : Computers
ISBN : UOM:39015029097469

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Visual Computing by Tosiyasu Kunii Pdf

This volume presents the proceedings of the 10th International Conference of the Computer Graphics Society, CG International '92, Visual Computing - Integrating Computer Graphics with Computer Vision -, held at Kogakuin University, Tokyo in Japan from June 22-26,1992. Since its foundation in 1983, this conference has continued to attract high quality research articles in all aspects of computer graphics and its applications. Previous conferences in this series were held in Japan (1983-1987), in Switzerland (1988), in the United Kingdom (1989), in Singapore (1990), and in the United States of America (1991). Future CG International conferences are planned in Switzerland (1993), in Australia (1994), and in the United Kingdom (1995). It has been the editor's dream to research the integration of computer graphics with computer vision through data structures. The conference the editor put together in Los Angeles in 1975 involving the UCLA and IEEE Computer Societies had to spell out these three areas explicitly in the conference title, "computer graphics," "pattern recognition" and "data structures," as well as in the title of the proceedings published by IEEE Computer Society Press. In 1985, the editor gave the name "visual computer" to machines having all the three functionalities as seen in the journal under that name from Springer. Finally, the research in integrating visual information processing has now reached reality as seen in this proceedings of CG International '92. Chapters on virtual reality, and on tools and environments provide examples.

Author : Jean Ponce,Martial Hebert,Cordelia Schmid,Andrew Zisserman
Publisher : Springer
Page : 622 pages
File Size : 45,9 Mb
Release : 2007-01-25
Category : Computers
ISBN : 9783540687955

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Toward Category-Level Object Recognition by Jean Ponce,Martial Hebert,Cordelia Schmid,Andrew Zisserman Pdf

This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Author : Kristen Grauman,Bastian Leibe
Publisher : Morgan & Claypool Publishers
Page : 184 pages
File Size : 49,8 Mb
Release : 2011
Category : Computers
ISBN : 9781598299687

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Visual Object Recognition by Kristen Grauman,Bastian Leibe Pdf

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. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Author : David D. Zhang,Mohamed Kamel,George Baciu
Publisher : Springer Science & Business Media
Page : 418 pages
File Size : 48,6 Mb
Release : 2006-04-18
Category : Computers
ISBN : 9781402077753

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Integrated Image and Graphics Technologies by David D. Zhang,Mohamed Kamel,George Baciu Pdf

Integrated Image and Graphics Technologies attempts to enhance the access points to both introductory and advanced material in this area, and to facilitate the reader with a comprehensive reference for the study of integrated technologies, systems of image and graphics conveniently and effectively. This edited volume will provide a collection of fifteen contributed chapters by experts, containing tutorial articles and new material describing in a unified way, the basic concepts, theories, characteristic features of the technology and the integration of image and graphics technologies, with recent developments and significant applications.

Author : Linda Shapiro
Publisher : Academic Press
Page : 638 pages
File Size : 45,7 Mb
Release : 1992-04-27
Category : Technology & Engineering
ISBN : 9780323141567

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Computer Vision and Image Processing by Linda Shapiro Pdf

Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.

Author : Aditi Majumder,M. Gopi
Publisher : CRC Press
Page : 376 pages
File Size : 46,9 Mb
Release : 2018-01-31
Category : Computers
ISBN : 9781482244922

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Introduction to Visual Computing by Aditi Majumder,M. Gopi Pdf

Introduction to Visual Computing: Core Concepts in Computer Vision, Graphics, and Image Processing covers the fundamental concepts of visual computing. Whereas past books have treated these concepts within the context of specific fields such as computer graphics, computer vision or image processing, this book offers a unified view of these core concepts, thereby providing a unified treatment of computational and mathematical methods for creating, capturing, analyzing and manipulating visual data (e.g. 2D images, 3D models). Fundamentals covered in the book include convolution, Fourier transform, filters, geometric transformations, epipolar geometry, 3D reconstruction, color and the image synthesis pipeline. The book is organized in four parts. The first part provides an exposure to different kinds of visual data (e.g. 2D images, videos and 3D geometry) and the core mathematical techniques that are required for their processing (e.g. interpolation and linear regression.) The second part of the book on Image Based Visual Computing deals with several fundamental techniques to process 2D images (e.g. convolution, spectral analysis and feature detection) and corresponds to the low level retinal image processing that happens in the eye in the human visual system pathway. The next part of the book on Geometric Visual Computing deals with the fundamental techniques used to combine the geometric information from multiple eyes creating a 3D interpretation of the object and world around us (e.g. transformations, projective and epipolar geometry, and 3D reconstruction). This corresponds to the higher level processing that happens in the brain combining information from both the eyes thereby helping us to navigate through the 3D world around us. The last two parts of the book cover Radiometric Visual Computing and Visual Content Synthesis. These parts focus on the fundamental techniques for processing information arising from the interaction of light with objects around us, as well as the fundamentals of creating virtual computer generated worlds that mimic all the processing presented in the prior sections. The book is written for a 16 week long semester course and can be used for both undergraduate and graduate teaching, as well as a reference for professionals.

Author : Christian Lemaitre,Carlos A. Reyes,Jesus A. Gonzalez
Publisher : Springer Science & Business Media
Page : 1005 pages
File Size : 44,8 Mb
Release : 2004-11-18
Category : Computers
ISBN : 9783540238065

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Advances in Artificial Intelligence -- IBERAMIA 2004 by Christian Lemaitre,Carlos A. Reyes,Jesus A. Gonzalez Pdf

This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004. The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent systems, knowledge engineering and case-based reasoning, planning and scheduling, machine learning and knowledge acquisition, natural language processing, knowledge representation and reasoning, knowledge discovery and data mining, robotics, computer vision, uncertainty and fuzzy systems, genetic algorithms and neural networks, AI in education, and miscellaneous topics.

Author : DAGM (Organization). Symposium,Bernd Michaelis,Gerard Krell
Publisher : Springer Science & Business Media
Page : 638 pages
File Size : 40,8 Mb
Release : 2003-09-16
Category : Computers
ISBN : 9783540408611

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Pattern Recognition by DAGM (Organization). Symposium,Bernd Michaelis,Gerard Krell Pdf

This book constitutes the refereed proceedings of the 25th Symposium of the German Association for Pattern Recognition, DAGM 2003, held in Magdeburg, Germany in September 2003. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition and are organized in sections on image analyses, callibration and 3D shape, recognition, motion, biomedical applications, and applications.

Author : Ales Leonardis,F. Solina,Ruzena Bajcsy
Publisher : Springer Science & Business Media
Page : 382 pages
File Size : 48,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401143219

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Confluence of Computer Vision and Computer Graphics by Ales Leonardis,F. Solina,Ruzena Bajcsy Pdf

A collection of original contributions by researchers who work at the forefront of a new field, lying at the intersection of computer vision and computer graphics. Several original approaches are presented to the integration of computer vision and graphics techniques to aid in the realistic modelling of objects and scenes, interactive computer graphics, augmented reality, and virtual studios. Numerous applications are also discussed, including urban and archaeological site modelling, modelling dressed humans, medical visualisation, figure and facial animation, real-time 3D teleimmersion telecollaboration, augmented reality as a new user interface concept, and augmented reality in the understanding of underwater scenes.

Author : Derek Hoiem,Silvio Savarese
Publisher : Morgan & Claypool Publishers
Page : 171 pages
File Size : 53,5 Mb
Release : 2011-09-09
Category : Technology & Engineering
ISBN : 9781608457298

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Representations and Techniques for 3D Object Recognition and Scene Interpretation by Derek Hoiem,Silvio Savarese Pdf

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 : Gang Hua,Hervé Jégou
Publisher : Springer
Page : 919 pages
File Size : 41,8 Mb
Release : 2016-11-23
Category : Computers
ISBN : 9783319494098

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Computer Vision – ECCV 2016 Workshops by Gang Hua,Hervé Jégou Pdf

The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. 27 workshops from 44 workshops proposals were selected for inclusion in the proceedings. These address the following themes: Datasets and Performance Analysis in Early Vision; Visual Analysis of Sketches; Biological and Artificial Vision; Brave New Ideas for Motion Representations; Joint ImageNet and MS COCO Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene Understanding and Autonomous Driving; Challenge on Automatic Personality Analysis; BioImage Computing; Benchmarking Multi-Target Tracking: MOTChallenge; Assistive Computer Vision and Robotics; Transferring and Adapting Source Knowledge in Computer Vision; Recovering 6D Object Pose; Robust Reading; 3D Face Alignment in the Wild and Challenge; Egocentric Perception, Interaction and Computing; Local Features: State of the Art, Open Problems and Performance Evaluation; Crowd Understanding; Video Segmentation; The Visual Object Tracking Challenge Workshop; Web-scale Vision and Social Media; Computer Vision for Audio-visual Media; Computer VISion for ART Analysis; Virtual/Augmented Reality for Visual Artificial Intelligence; Joint Workshop on Storytelling with Images and Videos and Large Scale Movie Description and Understanding Challenge.