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Titlebook: Advanced Procrustes Analysis Models in Photogrammetric Computer Vision; Fabio Crosilla,Alberto Beinat,Domenico Visintini Book 2019 CISM In

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發(fā)表于 2025-3-21 16:46:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advanced Procrustes Analysis Models in Photogrammetric Computer Vision
影響因子2023Fabio Crosilla,Alberto Beinat,Domenico Visintini
視頻videohttp://file.papertrans.cn/147/146130/146130.mp4
發(fā)行地址Unique reference for Procrustean methods applied to Photogrammetry and Computer Vision.Innovative and unconventional mathematical approach to fundamentals of Photogrammetry and Computer Vision.Complem
學(xué)科分類(lèi)CISM International Centre for Mechanical Sciences
圖書(shū)封面Titlebook: Advanced Procrustes Analysis Models in Photogrammetric Computer Vision;  Fabio Crosilla,Alberto Beinat,Domenico Visintini Book 2019 CISM In
影響因子.This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image.?The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods..
Pindex Book 2019
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Bioinformatics and Translation Initiation,t squares (LS) Procrustes solutions find the transformation parameters between the two point sets assuming that all random errors are confined to the destination matrix ., whereas . is noise-free. However, this assumption is often unrealistic, since both . and . are corrupted by errors if they deriv
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Characterizing translation efficiency,ears ago (see, e.g.,?Boehler et?al. .) thanks to the technological improvement of the topographical instrumentations, in particular in the movement and in the electronical components. The main?topic here explained concerns the geometrical measurement principle of a 3D scene by means of different aut
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https://doi.org/10.1007/978-0-387-71337-3ampling the positions of a set of representative surface points. Depending on the dimension and on the shape complexity of the geometric entity under study, its complete survey often requires a multiple view approach that leads to the creation of a set of partial and independent 3D models of the sam
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String Mathematics, BLAST, and FASTA,The terms . and . are referred to a set of least squares mathematical models used to perform transformations among corresponding points belonging to a generic .-dimensional space, in order to satisfy their maximum agreement.
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Distance-Based Phylogenetic Methods,The main peculiarity of the problem treated in this chapter is given by the fact that . matrix configurations are simultaneously considered.
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Protein Isoelectric Point and ,The EOPA and GPA models, described in the previous chapters, can be further extended by substituting the isotropic scale factor . with an anisotropic scaling characterized by a diagonal matrix . of different scale factors.
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