LEADER 04792nam 22006135 450 001 9910254082903321 005 20200701163223.0 010 $a3-319-11550-2 024 7 $a10.1007/978-3-319-11550-4 035 $a(CKB)3710000000909045 035 $a(DE-He213)978-3-319-11550-4 035 $a(MiAaPQ)EBC6312077 035 $a(MiAaPQ)EBC5596104 035 $a(Au-PeEL)EBL5596104 035 $a(OCoLC)1076251835 035 $a(PPN)196324106 035 $a(EXLCZ)993710000000909045 100 $a20161004d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPhotogrammetric Computer Vision $eStatistics, Geometry, Orientation and Reconstruction /$fby Wolfgang Förstner, Bernhard P. Wrobel 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XVII, 816 p. 281 illus., 59 illus. in color.) 225 1 $aGeometry and Computing,$x1866-6795 ;$v11 311 $a3-319-11549-9 327 $aIntroduction -- 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. 330 $aThis 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. 410 0$aGeometry and Computing,$x1866-6795 ;$v11 606 $aOptical data processing 606 $aRemote sensing 606 $aGeometry 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aRemote Sensing/Photogrammetry$3https://scigraph.springernature.com/ontologies/product-market-codes/J13010 606 $aGeometry$3https://scigraph.springernature.com/ontologies/product-market-codes/M21006 615 0$aOptical data processing. 615 0$aRemote sensing. 615 0$aGeometry. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aRemote Sensing/Photogrammetry. 615 24$aGeometry. 676 $a526.982 700 $aFörstner$b Wolfgang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0756042 702 $aWrobel$b Bernhard P$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254082903321 996 $aPhotogrammetric Computer Vision$92182291 997 $aUNINA