000 03808nam a22005055i 4500
001 978-1-4020-3858-7
003 DE-He213
005 20251006084501.0
007 cr nn 008mamaa
008 100301s2006 ne | s |||| 0|eng d
020 _a9781402038587
020 _a99781402038587
024 7 _a10.1007/1-4020-3858-8
_2doi
082 0 4 _a006.6
_223
100 1 _aKlette, Reinhard.
_eeditor.
245 1 0 _aGeometric Properties for Incomplete data
_h[electronic resource] /
_cedited by Reinhard Klette, Ryszard Kozera, Lyle Noakes, Joachim Weickert.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2006.
300 _aXV, 392p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aContributors. Preface. I Continuous Geometry: Representation of Free-form Objects. Spheres and Conics. Algorithms for Spatial Pythagoreanhodograph Curves. Cumulative Chords, Piecewise-Quadratics and Piecewise-Cubics. Spherical Splines. Graph-Spectral Methods for Surface Height Recovery from Gauss Maps -- II Discrete Geometry: Segmentation of Boundaries into Convex and Concave Parts. Convex and Concave Parts of Digital Curves. Polygonalisation and Polyhedralisation by Optimisation. Binary Tomography by Iterating Linear Programs. Cascade of dual LDA Operators for Face Recognition. Precision of Geometric Moments in Picture Analysis. Shape-from-Shading by Iterative Fast Marching for Vertical and Oblique Light Sources. Shape from Shadows -- III Approximation and Regularization: A Confidence Measure for Variational Optic Flow Methods. Video Image Sequence Analysis: Estimating Missing Data and Segmenting Multiple Motions. Robust Local Approximation of Scattered Data. On Robust Estimation and Smoothing with Spatial and Tonal Kernels. Subspace Estimation with Uncertain and Correlated Data. On the use of Dual Norms in Bounded Variation Type Regularization -- Index.
520 _aComputer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area. The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.
650 0 _aCOMPUTER SCIENCE.
650 0 _aCOMPUTER VISION.
650 0 _aCOMPUTER GRAPHICS.
650 0 _aMATHEMATICS.
650 0 _aCOMPUTER SCIENCE
_xMATHEMATICS.
650 1 4 _aCOMPUTER SCIENCE.
650 2 4 _aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS.
650 2 4 _aCOMPUTATIONAL MATHEMATICS AND NUMERICAL ANALYSIS.
650 2 4 _aCOMPUTER GRAPHICS.
650 2 4 _aAPPROXIMATIONS AND EXPANSIONS.
700 1 _aKozera, Ryszard.
_eeditor.
700 1 _aNoakes, Lyle.
_eeditor.
700 1 _aWeickert, Joachim.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781402038570
856 4 0 _uhttp://dx.doi.org/10.1007/1-4020-3858-8
_zVer el texto completo en las instalaciones del CICY
912 _aZDB-2-SCS
942 _2ddc
_cER
999 _c60633
_d60633