Cantitate/Preț
Produs
Total produse
Vezi coșul
Photogrammetric Computer Vision de Wolfgang Förstner

Photogrammetric Computer Vision: Geometry and Computing, cartea 11

Autor Wolfgang Förstner, Bernhard P. Wrobel
en Limba Engleză Paperback – 14 iun 2018

Recomandăm Photogrammetric Computer Vision profesioniștilor care se confruntă cu provocarea de a reconstrui scene geometrice complexe din imagini, unde precizia metrologică este critică. Problema centrală abordată aici nu este doar recunoașterea obiectelor, ci calibrarea și orientarea riguroasă a camerelor pentru a obține modele 3D fidele, susținute de o analiză statistică a erorilor. Considerăm că forța acestui tratat de peste 800 de pagini rezidă în fuziunea dintre fotogrammetria clasică și vederea artificială modernă, oferind un fundament matematic solid acolo unde alte resurse se limitează la soluții euristice. Structura volumului reflectă o progresie logică de la teorie la aplicație. Prima parte stabilește cadrul pentru teoria estimării, acoperind estimarea bayesiană și diagnosticul statistic. Partea a doua introduce instrumentele pentru geometria proiectivă, în timp ce partea a treia se concentrează pe modelarea camerelor și reconstrucția suprafețelor din nori de puncte. Cititorul care a aplicat ideile din Multiple View Geometry in Computer Vision de Richard Hartley va găsi aici completarea necesară prin accentul pus pe certitudinea statistică și metrologie, elemente vitale în mediile de producție industrială sau GIS. Această lucrare reprezintă apogeul cercetării autorilor, Wolfgang Förstner continuând explorarea analizei de date complexe începută în Mustererkennung 1999. Dacă în lucrările anterioare, precum Semantic Modeling for the Acquisition of Topographic Information from Images and Maps, accentul era pus pe achiziția de date topografice, volumul de față rafinează procesul prin algoritmi de ajustare a fasciculelor (bundle adjustment) și reconstrucție de suprafețe, oferind o rigoare matematică ce transformă vederea artificială într-o disciplină de măsurare precisă.

Citește tot Restrânge

Din seria Geometry and Computing

  • 20% CGAL Arrangements and Their Applications
    Preț: 34454 lei
  • Pythagorean-Hodograph Curves: Algebra and Geometry Inseparable
    Preț: 40598 lei
  • SAGA - Advances in ShApes, Geometry, and Algebra
    Preț: 28365 lei
  • SAGA – Advances in ShApes, Geometry, and Algebra: Results from the Marie Curie Initial Training Network
    Preț: 37581 lei
  • 20% Photogrammetric Computer Vision
    Preț: 70017 lei
  • Differential Geometry and Lie Groups
    Preț: 42864 lei
  • 18% Generalized Curvatures
    Preț: 70209 lei
  • Subdivision Surfaces
    Preț: 39696 lei
  • 20% Geometric Algebra with Applications in Engineering
    Preț: 60834 lei
  • Analysis and Design of Univariate Subdivision Schemes
    Preț: 36893 lei
  • 20% Foundations of Geometric Algebra Computing
    Preț: 48415 lei
  • A Guide to the Classification Theorem for Compact Surfaces
    Preț: 47263 lei

Preț: 43394 lei

Preț vechi: 54242 lei
-20%

Puncte Express: 651
Paperback 43394 lei
Hardback 70017 lei

Carte tipărită la comandă

Livrare economică 09-23 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783319791708
ISBN-10: 3319791702
Pagini: 836
Ilustrații: XVII, 816 p. 281 illus., 59 illus. in color.
Dimensiuni: 210 x 279 x 45 mm
Greutate: 2 kg
Ediția:Softcover reprint of the original 1st edition 2016
Editura: Springer
Colecția Geometry and Computing
Seria Geometry and Computing

Locul publicării:Cham, Switzerland

De ce să citești această carte

Pentru inginerii și dezvoltatorii software din industriile fotogrammetriei și GIS, această carte este resursa definitivă pentru stăpânirea vederii artificiale bazate pe geometrie statistică. Câștigați acces la algoritmi verificați pentru calibrarea camerelor și reconstrucția 3D, beneficiind de expertiza unor autori care definesc standardele în domeniu. Este un instrument esențial pentru oricine dorește să treacă de la simple vizualizări la măsurători spațiale de înaltă precizie.

Despre autor

Wolfgang Förstner și Bernhard P. Wrobel sunt figuri proeminente în comunitatea științifică, având un fundament solid în geodezie și decenii de experiență în cercetarea vederii artificiale. Förstner este recunoscut pentru contribuțiile sale în recunoașterea formelor și interpretarea scenelor naturale, fiind implicat activ în dezvoltarea unor instrumente de analiză a datelor pentru geoinformații. Expertiza lor combinată a permis crearea acestui manual de referință care unifică rigurozitatea matematică a fotogrammetriei cu inovația algoritmică din computer vision, publicat sub egida prestigioasă a editurii Springer.

Descriere scurtă

This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision.
Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their rela­tions, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is de­voted to modelling the geometry of single and multiple cameras, addressing calibration and orienta­tion, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computa­tion problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exer­cises, and they are supported by an appendix that explains the basic mathematical notation and a de­tailed index.

The book can serve as the basis for undergraduate and graduate courses in photogrammetry, com­puter vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.

Cuprins

Introduction.- Tasks for Photogrammetric Computer Vision.- Modelling in Automated Photogrammetric Computer Vision.- Probability Theory and Random Variables.- Testing.- Estimation.- Homogeneous Representations of Points, Lines and Planes.- Transformations.- Geometric Operations.- Rotations.- Oriented Projective Geometry.- Reasoning with Uncertain Geometric Entities.- Orientation and Reconstruction.- Bundle Adjustment.- Surface Reconstruction from Point Clouds.- References.- Index.

Recenzii

“Photogrammetric Computer Vision represents a milestone publication in modern photogrammetry. … The excellence of the material in this book is undergirded by careful cross-referencing and the occasional use of a didactic manner whereby important concepts, when they are first introduced, are written in italics in the outer margins.” (Charles Toth, Photogrammetric Engineering & Remote Sensing, Vol. 83 (10), October, 2017)

“This book is a great achievement. … it gives a comprehensive overview of the geometrical concepts of photogrammetry and computer vision. … it will be invaluable as a book of reference for graduate students, researchers, software engineers and practitioners aswell as for teachers involved in these subjects.” (Franz Rottensteiner, Journal of Photogrammetry, Remote Sensing and Geoinformation Science, Vol. 85 (3), August, 2017)

“This book on Photogrammetric Computer Vision can thus be seen as a logical continuation of the authors’ academic work, dedicated to building bridges between photogrammetry and computer vision. … this book forms a rich body of state-of-the-art knowledge in image geometry and related problems.” (Markus Gerke, The Photogrammetric Record, June, 2017)

“This book is one of two volumes on photogrammetric computer vision. This volume focuses on geometric image analysis based on statistics … . This is an excellent textbook. It can be used in higher education at BSc. and MSc. levels. The authors gives different education programs with different objectives to be achieved. This greatly helps to use the book.” (Attila Fazekas, zbMATH, 1372.68002, 2017)

Notă biografică

Prof. Dr.-Ing. Wolfgang Förstner is an internationally leading expert in photogrammetry, computer vision, pattern recognition and machine learning. Throughout his exemplary career of nearly 40 years as a researcher, inventor, innovator and educator, he has made exceptionally significant scientific contributions in many areas of information from imagery and mentored generations of mapping sci­entists and engineers. Examples of his work include blunder detection for aerial triangulation, image matching, object recognition and statistical projective geometry. He developed the well-known Förstner Operator, for the detection of key points in images, in the 1980s. After studying geodesy and surveying, he first worked at the University of Stuttgart before moving to the University of Bonn as Professor for Photogrammetry where he led the Institute for Photogrammetry from 1990 to 2012. He published more than 100 academic papers, coauthored three book chapters for the ASPRS Manual of Photogrammetry, supervised more than 30 Ph.D. theses, and was closely in­volved with the International Society for Photogrammetry and Remote Sensing and the German As­sociation for Pattern Recognition. 
Prof. Dr.-Ing. Bernhard P. Wrobel received his Ph.D. (Dr.-Ing) in theoretical geodesy from the University of Bonn. From 1975 to 1981 he was professor for close-range photogrammetry and from 1981 to 2001 for photogrammetry at Darmstadt University of Technology, and also head of the In­stitute for Photogrammetry and Cartography. He was closely involved with the International Society for Photogrammetry and Remote Sensing, and he coauthored three book chapters for the ASPRS Manual of Photogrammetry. Besides his work related to precise mensuration tasks in industry, his research interests cover the mathematical fundamentals of photogrammetry such as the digital inver­sion of image formation for reconstruction of 3D surfaces and reflectance from multiple images.
Authors' website (code, lecture slides) at http://www.ipb.uni-bonn.de/book-pcv/) 

Caracteristici

Comprehensive explanation of mathematical fundamentals of photogrammetry Emphasis on statistical view on geometric image analysis relevant for photogrammetry Supported with exercises and appendix on mathematical basics Includes supplementary material: sn.pub/extras