Learning Grouping Strategies for 2D and 3D Object Recognition

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (946 download)

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Book Synopsis Learning Grouping Strategies for 2D and 3D Object Recognition by :

Download or read book Learning Grouping Strategies for 2D and 3D Object Recognition written by and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Schema Learning System (SLS) automatically assembles task specific object recognition programs from existing IU algorithms. SLS brings together two emerging technologies; image understanding and machine learning, to automatically build customized procedures for recognizing and extracting specific object classes in constrained contexts. This paper describes the representations and algorithms underlying SLS, and presents an example of SLS learning to recognize rooftops in aerial images of Ft. Hood. This task is the first of several tasks from the ARPA/ORD sponsored RADIUS project that SLS is intended to learn without human interaction. In later experiments, SLS will be tasked to automatically construct 3D models of buildings and other objects of interest from overlapping aerial images.

Image Understanding Workshop

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ISBN 13 :
Total Pages : 806 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Image Understanding Workshop by : Thomas M. Strat

Download or read book Image Understanding Workshop written by Thomas M. Strat and published by . This book was released on 1997 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Understanding Workshop

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Publisher : Morgan Kaufmann
ISBN 13 :
Total Pages : 622 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Image Understanding Workshop by : George E. Lukes

Download or read book Image Understanding Workshop written by George E. Lukes and published by Morgan Kaufmann. This book was released on 1998 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reports and technical results presented at the biennial workshops of the DARPA Image Understanding research program.

IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications

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Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 : 9780769500508
Total Pages : 154 pages
Book Rating : 4.5/5 (5 download)

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Book Synopsis IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications by :

Download or read book IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications written by and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1999 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 14 papers presented at the June 1999 workshop are arranged into four sessions: detecting, tracking, and recognizing moving objects in infrared images; infrared image analysis and applications; target recognition in synthetic aperture radar (SAR) images; and laser radar and hyper-spectral image a

Proceedings of the ... Annual National Conference on Artificial Intelligence

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Publisher :
ISBN 13 :
Total Pages : 1142 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Proceedings of the ... Annual National Conference on Artificial Intelligence by :

Download or read book Proceedings of the ... Annual National Conference on Artificial Intelligence written by and published by . This book was released on 1997 with total page 1142 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

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Publisher : CRC Press
ISBN 13 : 1000337073
Total Pages : 215 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing by : Rohit Raja

Download or read book Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing written by Rohit Raja and published by CRC Press. This book was released on 2020-12-22 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital images have several benefits, such as faster and inexpensive processing cost, easy storage and communication, immediate quality assessment, multiple copying while preserving quality, swift and economical reproduction, and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem, one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space, clinical purposes, the arts, and television image improvement. In the 1970s, with the development of computer systems, the cost of image processing was reduced and processes became faster. In the 2000s, image processing became quicker, inexpensive, and simpler. In the 2020s, image processing has become a more accurate, more efficient, and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field

Learning Object Recognition Strategies

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Publisher :
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.:/5 (287 download)

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Book Synopsis Learning Object Recognition Strategies by : Bruce A. Draper

Download or read book Learning Object Recognition Strategies written by Bruce A. Draper and published by . This book was released on 1993 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision – ACCV 2016 Workshops

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Publisher : Springer
ISBN 13 : 3319544276
Total Pages : 647 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Computer Vision – ACCV 2016 Workshops by : Chu-Song Chen

Download or read book Computer Vision – ACCV 2016 Workshops written by Chu-Song Chen and published by Springer. This book was released on 2017-03-14 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set, consisting of LNCS 10116, 10117, and 10118, contains carefully reviewed and selected papers presented at 17 workshops held in conjunction with the 13th Asian Conference on Computer Vision, ACCV 2016, in Taipei, Taiwan in November 2016. The 134 full papers presented were selected from 223 submissions. LNCS 10116 contains the papers selected

Representations and Techniques for 3D Object Recognition and Scene Interpretation

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608457281
Total Pages : 172 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Representations and Techniques for 3D Object Recognition and Scene Interpretation by : Derek Hoiem

Download or read book Representations and Techniques for 3D Object Recognition and Scene Interpretation written by Derek Hoiem and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Boosting for Generic 2D/3D Object Recognition

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Publisher :
ISBN 13 :
Total Pages : 189 pages
Book Rating : 4.:/5 (671 download)

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Book Synopsis Boosting for Generic 2D/3D Object Recognition by : Doaa Abd al-Kareem Mohammed Hegazy

Download or read book Boosting for Generic 2D/3D Object Recognition written by Doaa Abd al-Kareem Mohammed Hegazy and published by . This book was released on 2009 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

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Publisher : Springer Nature
ISBN 13 : 9811976988
Total Pages : 219 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Satellite Data Processing and Services by : Sumit Kumar

Download or read book Artificial Intelligence and Machine Learning in Satellite Data Processing and Services written by Sumit Kumar and published by Springer Nature. This book was released on 2023-01-02 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Artificial Intelligence and Machine Learning in Satellite: Data Processing and Services, presents the selected proceedings of the International Conference on Small Satellites (ICSS 2022) that aims to provide an opportunity for academicians, scientists, researchers, and industry experts, engaged in teaching, research, and development on satellite data processing and its services by employing advanced artificial intelligence-based machine learning techniques. This book covers the application of artificial intelligence and machine learning techniques in various domains of earth observations like natural resources and environmental management, water resources, urban and rural development, climate change, and other contemporary subjects. The book will surely be a valuable asset for beginners, researchers, and professionals working in satellite data processing and services using artificial intelligence and machine learning approaches.

The Oxford Handbook of Perceptual Organization

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Publisher : Oxford Library of Psychology
ISBN 13 : 0199686858
Total Pages : 1121 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis The Oxford Handbook of Perceptual Organization by : Johan Wagemans

Download or read book The Oxford Handbook of Perceptual Organization written by Johan Wagemans and published by Oxford Library of Psychology. This book was released on 2015 with total page 1121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perceptual organization comprises a wide range of processes such as perceptual grouping, figure-ground organization, filling-in, completion and perceptual switching. 'Oxford Handbook of Perceptual Organization' provides a broad and extensive review of the current literature, written in an accessible form for scholars and students.

Visual Object Recognition

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Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598299689
Total Pages : 184 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Visual Object Recognition by : Kristen Grauman

Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5)

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 932 pages
Book Rating : 4./5 ( download)

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Book Synopsis Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) by : Florentin Smarandache

Download or read book Advances and Applications of DSmT for Information Fusion (Collected Works. Volume 5) written by Florentin Smarandache and published by Infinite Study. This book was released on 2023-12-27 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 (available at fs.unm.edu/DSmT-book4.pdf or www.onera.fr/sites/default/files/297/2015-DSmT-Book4.pdf) in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well. We want to thank all the contributors of this fifth volume for their research works and their interests in the development of DSmT, and the belief functions. We are grateful as well to other colleagues for encouraging us to edit this fifth volume, and for sharing with us several ideas and for their questions and comments on DSmT through the years. We thank the International Society of Information Fusion (www.isif.org) for diffusing main research works related to information fusion (including DSmT) in the international fusion conferences series over the years. Florentin Smarandache is grateful to The University of New Mexico, U.S.A., that many times partially sponsored him to attend international conferences, workshops and seminars on Information Fusion. Jean Dezert is grateful to the Department of Information Processing and Systems (DTIS) of the French Aerospace Lab (Office National d’E´tudes et de Recherches Ae´rospatiales), Palaiseau, France, for encouraging him to carry on this research and for its financial support. Albena Tchamova is first of all grateful to Dr. Jean Dezert for the opportunity to be involved during more than 20 years to follow and share his smart and beautiful visions and ideas in the development of the powerful Dezert-Smarandache Theory for data fusion. She is also grateful to the Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, for sponsoring her to attend international conferences on Information Fusion.

Scientific and Technical Aerospace Reports

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Publisher :
ISBN 13 :
Total Pages : 840 pages
Book Rating : 4.3/5 (243 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1993 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt:

IGARSS.

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Publisher :
ISBN 13 :
Total Pages : 720 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis IGARSS. by :

Download or read book IGARSS. written by and published by . This book was released on 1998 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Index to IEEE Publications

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ISBN 13 :
Total Pages : 1292 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Index to IEEE Publications by : Institute of Electrical and Electronics Engineers

Download or read book Index to IEEE Publications written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1996 with total page 1292 pages. Available in PDF, EPUB and Kindle. Book excerpt: