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3-D Surface Geometry and Reconstruction: Developing Concepts and Applications by Chandra Pati, Umesh Pdf
"This book provides developers and scholars with an extensive collection of research articles in the expanding field of 3D reconstruction, investigating the concepts, methodologies, applications and recent developments in the field of 3D reconstruction"--
Reconstruction-Free Compressive Vision for Surveillance Applications by Henry Braun,Pavan Turaga,Andreas Spanias,Sameeksha Katoch,Suren Jayasuriya,Cihan Tepedelenlioglu Pdf
Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have enabled new applications of automated systems. In this book, we introduce reconstruction-free compressive vision, where image processing and computer vision algorithms are embedded directly in the compressive domain, without the need for first reconstructing the measurements into images or video. Reconstruction of CS images is computationally expensive and adds to system complexity. Therefore, reconstruction-free compressive vision is an appealing alternative particularly for power-aware systems and bandwidth-limited applications that do not have on-board post-processing computational capabilities. Engineers must balance maintaining algorithm performance while minimizing both the number of measurements needed and the computational requirements of the algorithms. Our study explores the intersection of compressed sensing and computer vision, with the focus on applications in surveillance and autonomous navigation. Other applications are also discussed at the end and a comprehensive list of references including survey papers are given for further reading.
Visual Reconstruction by Andrew Blake,Andrew Zisserman Pdf
"Visual Reconstruction" presents a unified and highly original approach to the treatment of continuity in vision. It introduces, analyzes, and illustrates two new concepts. The first - the weak continuity constraint - is a concise, computational formalization of piecewise continuity. It is a mechanism for expressing the expectation that visual quantities such as intensity, surface color, and surface depth vary continuously almost everywhere, but with occasional abrupt changes. The second concept - the graduated nonconvexity algorithm - arises naturally from the first. It is an efficient, deterministic (nonrandom) algorithm for fitting piecewise continuous functions to visual data.The book first illustrates the breadth of application of reconstruction processes in vision with results that the authors' theory and program yield for a variety of problems. The mathematics of weak continuity and the graduated nonconvexity (GNC) algorithm are then developed carefully and progressively.Contents: Modeling Piecewise Continuity. Applications of Piecewise Continuous Reconstruction. Introducing Weak Continuity Constraints. Properties of the Weak String and Membrane. Properties of Weak Rod and Plate. The Discrete Problem. The Graduated Nonconvexity (GNC) Algorithm. Appendixes: Energy Calculations for the String and Membrane. Noise Performance of the Weak Elastic String. Energy Calculations for the Rod and Plate. Establishing Convexity. Analysis of the GNC Algorithm.Both authors are in the Department of Computer Science at the University of Edinburgh. Andrew Blake is Lecturer and a Royal Society IBM Research Fellow. Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow. "Visual Reconstruction" is included in the Artificial Intelligence series, edited by Michael Brady and Patrick Winston.
Shape Reconstruction from Apparent Contours by Giovanni Bellettini,Valentina Beorchia,Maurizio Paolini,Franco Pasquarelli Pdf
Motivated by a variational model concerning the depth of the objects in a picture and the problem of hidden and illusory contours, this book investigates one of the central problems of computer vision: the topological and algorithmic reconstruction of a smooth three dimensional scene starting from the visible part of an apparent contour. The authors focus their attention on the manipulation of apparent contours using a finite set of elementary moves, which correspond to diffeomorphic deformations of three dimensional scenes. A large part of the book is devoted to the algorithmic part, with implementations, experiments, and computed examples. The book is intended also as a user's guide to the software code appcontour, written for the manipulation of apparent contours and their invariants. This book is addressed to theoretical and applied scientists working in the field of mathematical models of image segmentation.
Photography, Reconstruction and the Cultural History of the Postwar European City by Tom Allbeson Pdf
Examining imagery of urban space in Britain, France and West Germany up to the early 1960s, this book reveals how photography shaped individual architectural projects and national rebuilding efforts alike. Exploring the impact of urban photography at a pivotal moment in contemporary European architecture and culture, this book addresses case studies spanning the destruction of the war to the modernizing reconfiguration of city spaces, including ruin photobooks about bombed cities, architectural photography of housing projects and imagery of urban life from popular photomagazines, as well as internationally renowned projects like UNESCO’s Paris Headquarters, Coventry Cathedral and Berlin’s Gedächtniskirche. This book reveals that the ways of seeing shaped in the postwar years by urban photography were a vital aspect of not only discourses on the postwar city but also debates central to popular culture, from commemoration and modernization to democratization and Europeanization. This book will be a fascinating read for researchers in the fields of photography and visual studies, architectural and urban history, and cultural memory and contemporary European history.
M. Jorge Cardoso,Tal Arbel,Fei Gao,Bernhard Kainz,Theo van Walsum,Kuangyu Shi,Kanwal K. Bhatia,Roman Peter,Tom Vercauteren,Mauricio Reyes,Adrian Dalca,Roland Wiest,Wiro Niessen,Bart J. Emmer
Author : M. Jorge Cardoso,Tal Arbel,Fei Gao,Bernhard Kainz,Theo van Walsum,Kuangyu Shi,Kanwal K. Bhatia,Roman Peter,Tom Vercauteren,Mauricio Reyes,Adrian Dalca,Roland Wiest,Wiro Niessen,Bart J. Emmer Publisher : Springer Page : 186 pages File Size : 45,6 Mb Release : 2017-09-06 Category : Computers ISBN : 9783319675640
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment by M. Jorge Cardoso,Tal Arbel,Fei Gao,Bernhard Kainz,Theo van Walsum,Kuangyu Shi,Kanwal K. Bhatia,Roman Peter,Tom Vercauteren,Mauricio Reyes,Adrian Dalca,Roland Wiest,Wiro Niessen,Bart J. Emmer Pdf
This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.
Visualizing cityscapes of Classical antiquity: from early modern reconstruction drawings to digital 3D models by Chiara Piccoli Pdf
The study presented here aims to make a practical contribution to a new understanding and use of digital 3D reconstructions in archaeology, namely as ‘laboratories’ to test hypotheses and visualize, evaluate and discuss multiple interpretations.
The Everyday Experiences of Reconstruction and Regeneration by David Adams,Peter Larkham Pdf
Set within a wider British and international context of post-war reconstruction, The Everyday Experiences of Reconstruction and Regeneration focuses on such debates and experiences in Birmingham and Coventry as they recovered from Second World War bombings and post-war industrial collapse. Including numerous images, Adams and Larkham explore the initial development of the post-Second World War reconstruction projects, which so substantially changed the face of the cities and provided radical new identities. Exploring these cities throughout the post-war period brings into sharp focus the duality of contemporary approaches to regeneration, which often criticise mid-twentieth century ’poorly-conceived’ planning and architectural projects for producing inhuman and unsympathetic schemes, while proposing exactly the type of large-scale regeneration that may potentially create similar issues in the future. This book would be beneficial for academics and students of planning and urban design, particularly those with an interest in post-catastrophe or large-scale reconstruction projects within cities.
Handbook of Mathematical Models in Computer Vision by Nikos Paragios,Yunmei Chen,Olivier D. Faugeras Pdf
Abstract Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, math ematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental sensory abilities in humans and therefore a significant amount of research effort has been dedicated towards modelling and repro ducing human visual abilities. Mathematical methods play a central role in this endeavour. Introduction David Marr's theory v^as a pioneering step tov^ards understanding visual percep tion. In his view human vision was based on a complete surface reconstruction of the environment that was then used to address visual subtasks. This approach was proven to be insufficient by neuro-biologists and complementary ideas from statistical pattern recognition and artificial intelligence were introduced to bet ter address the visual perception problem. In this framework visual perception is represented by a set of actions and rules connecting these actions. The emerg ing concept of active vision consists of a selective visual perception paradigm that is basically equivalent to recovering from the environment the minimal piece information required to address a particular task of interest.
Multi-View Geometry Based Visual Perception and Control of Robotic Systems by Jian Chen,Bingxi Jia,Kaixiang Zhang Pdf
This book describes visual perception and control methods for robotic systems that need to interact with the environment. Multiple view geometry is utilized to extract low-dimensional geometric information from abundant and high-dimensional image information, making it convenient to develop general solutions for robot perception and control tasks. In this book, multiple view geometry is used for geometric modeling and scaled pose estimation. Then Lyapunov methods are applied to design stabilizing control laws in the presence of model uncertainties and multiple constraints.
Computer Vision - ECCV 2004 by Tomas Pajdla,Jiri Matas Pdf
Welcome to the proceedings of the 8th European Conference on Computer - sion! Following a very successful ECCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to reduce their review load. We managed to assign to program committee members no more than 12 papers. Second, we adopted a paper ranking system. Program committee members were asked to rank all the papers assigned to them, even those that were reviewed by additional reviewers. Third, we allowed authors to respond to the reviews consolidated in a discussion involving the area chair and the reviewers. Fourth, thereports,thereviews,andtheresponsesweremadeavailabletotheauthorsas well as to the program committee members. Our aim was to provide the authors with maximal feedback and to let the program committee members know how authors reacted to their reviews and how their reviews were or were not re?ected in the ?nal decision. Finally, we reduced the length of reviewed papers from 15 to 12 pages. ThepreparationofECCV2004wentsmoothlythankstothee?ortsofthe- ganizing committee, the area chairs, the program committee, and the reviewers. We are indebted to Anders Heyden, Mads Nielsen, and Henrik J. Nielsen for passing on ECCV traditions and to Dominique Asselineau from ENST/TSI who kindly provided his GestRFIA conference software. We thank Jan-Olof Eklundh and Andrew Zisserman for encouraging us to organize ECCV 2004 in Prague.
Author : Simon J. D. Prince Publisher : Cambridge University Press Page : 128 pages File Size : 53,9 Mb Release : 2012-06-18 Category : Computers ISBN : 9781139510561
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking • More than 70 algorithms are described in sufficient detail to implement • More than 350 full-color illustrations amplify the text • The treatment is self-contained, including all of the background mathematics • Additional resources at www.computervisionmodels.com
