Author : Berthold Horn
Publisher : MIT Press
Page : 530 pages
File Size : 15,99 MB
Release : 1986
Category : Computers
ISBN : 9780262081597
"Presents a solid framework for understanding existing work and planning future research."--Cover.
Author : Yasutaka Furukawa
Publisher : Foundations and Trends (R) in Computer Graphics and Vision
Page : 166 pages
File Size : 14,8 MB
Release : 2015-06-25
Category : Computer algorithms
ISBN : 9781601988362
Presents a hands-on view of the field of multi-view stereo with a focus on practical algorithms. It frames the multiview stereo problem as an image/geometry consistency optimization problem and describesits main two ingredients: robust implementations of photometric consistency measures and efficient optimization algorithms.
Author : Mahdi H. Miraz
Publisher : Springer
Page : 318 pages
File Size : 30,24 MB
Release : 2018-07-20
Category : Computers
ISBN : 3319954504
This book constitutes the refereed conference proceedings of the First International Conference on Emerging Technologies in Computing, iCEtiC 2018, held in London, UK, in August 2018. The 26 revised full papers were reviewed and selected from more than 59 submissions and are organized in topical sections covering Cloud, IoT and distributed computing, software engineering, communications engineering and vehicular technology, AI, expert systems and big data analytics, Web information systems and applications, security, database system, economics and business engineering, mLearning and eLearning.
Author : Andrea Vedaldi
Publisher : Springer Nature
Page : 843 pages
File Size : 48,56 MB
Release : 2020-11-12
Category : Computers
ISBN : 3030585689
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
Author : Thomas Luhmann
Publisher : Walter de Gruyter GmbH & Co KG
Page : 1185 pages
File Size : 25,4 MB
Release : 2019-11-18
Category : Science
ISBN : 3110607387
This is the third edition of the well-known guide to close-range photogrammetry. It provides a thorough presentation of the methods, mathematics, systems and applications which comprise the subject of close-range photogrammetry, which uses accurate imaging techniques to analyse the three-dimensional shape of a wide range of manufactured and natural objects.
Author : Jean-Denis Durou
Publisher : Springer Nature
Page : 239 pages
File Size : 11,12 MB
Release : 2020-09-16
Category : Computers
ISBN : 3030518663
This book presents the latest advances in photometric 3D reconstruction. It provides the reader with an overview of the state of the art in the field, and of the latest research into both the theoretical foundations of photometric 3D reconstruction and its practical application in several fields (including security, medicine, cultural heritage and archiving, and engineering). These techniques play a crucial role within such emerging technologies as 3D printing, since they permit the direct conversion of an image into a solid object. The book covers both theoretical analysis and real-world applications, highlighting the importance of deepening interdisciplinary skills, and as such will be of interest to both academic researchers and practitioners from the computer vision and mathematical 3D modeling communities, as well as engineers involved in 3D printing. No prior background is required beyond a general knowledge of classical computer vision models, numerical methods for optimization, and partial differential equations.
Author : Boguslaw Cyganek
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 33,82 MB
Release : 2011-08-10
Category : Science
ISBN : 1119964474
Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model. This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently: present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; explain scale-space vision, as well as space reconstruction and multiview integration; demonstrate a variety of practical applications for 3D surface imaging and analysis; provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures. An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.
Author : Long Quan
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 33,64 MB
Release : 2010-07-10
Category : Computers
ISBN : 144196679X
“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry. Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry.
Author : Jacques Blanc-Talon
Publisher : Springer
Page : 509 pages
File Size : 41,33 MB
Release : 2010-12-06
Category : Computers
ISBN : 3642176887
This volume collects the papers accepted for presentation at the 12th Int- national Conference on “Advanced Concepts for Intelligent Vision Systems” (ACIVS 2010). Following the ?rst meeting in Baden-Baden (Germany) in 1999, whichwaspartofalargemulticonference,theACIVSconferencethendeveloped into an independent scienti?c event and has ever since maintained the tradition of being a single track conference. ACIVS 2010 attracted computer scientists from 29 di?erent countries, mostly from Europe, Australia, and the USA, but also from Asia. Although ACIVS is a conference on all areas of image and video processing, submissions tend to gather within certain major ?elds of interest. This year 3D and depth processing and computer vision and surveillance were popular topics. Noteworthy are the growing number of papers related to theoretical devel- ments. We would like to thank the invited speakers Mubarak Shah (University of Central Florida), Richard Kleihorst (VITO, Belgium), Richard Hartley (A- tralian National University), and David Suter (Adelaide University) for their valuable contributions.
Author : Yu-Jin Zhang
Publisher : Springer Nature
Page : 480 pages
File Size : 13,77 MB
Release :
Category : Computer vision
ISBN : 9811976031
Zusammenfassung: This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Each topic is addressed in a uniform manner: the dedicated chapter first covers the essential concepts and basic principles before presenting a selection of typical, specific methods and practical techniques. In turn, it introduces readers to the most important recent developments, especially in the last three years. This approach allows them to quickly familiarize themselves with the subject, implement the techniques discussed, and design or improve their own methods for specific applications. The book can be used as a textbook for graduate courses in computer science, computer engineering, electrical engineering, data science, and related subjects. It also offers a valuable reference guide for researchers and practitioners alike
