Apress Access

Geometric Properties for Incomplete Data

By Reinhard Klette , Ryszard Kozera , Lyle Noakes , Joachim Weickert

  • eBook Price: $109.00
Buy eBook Buy Print Book

Geometric Properties for Incomplete Data Cover Image

  • Add to Wishlist
  • ISBN13: 978-1-4020-3857-0
  • 412 Pages
  • User Level: Science
  • Publication Date: March 14, 2006
  • Available eBook Formats: PDF
Full Description
Computer 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.
Table of Contents

Table of Contents

  1. Contributors. Preface. I Continuous Geometry: Representation of Free
  2. form Objects. Spheres and Conics. Algorithms for Spatial Pythagoreanhodograph Curves. Cumulative Chords, Piecewise
  3. Quadratics and Piecewise
  4. Cubics. Spherical Splines. Graph
  5. Spectral Methods for Surface Height Recovery from Gauss Maps.
  6. 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
  7. from
  8. Shading by Iterative Fast Marching for Vertical and Oblique Light Sources. Shape from Shadows.
  9. 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.
  10. Index.

If you think that you've found an error in this book, please let us know by emailing to editorial@apress.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published


    1. PHP Objects, Patterns, and Practice


      View Book

    2. Beginning Android 3D Game Development


      View Book

    3. Troubleshooting Oracle Performance


      View Book

    4. Beginning Amazon Web Services with Node.js


      View Book