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Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing

€63.99
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algebra
analysis
analytical geometry
Category=PBM
Category=UB
Category=UYT
component
Contour Vertices
curvature analysis
Data Set
digital geometry processing
dimensionality reduction
Discrete Laplacian Operator
Discrete Sine Transform
dot
dynamic programming
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Gaussian Elimination
geometric algorithms
image manipulation
Incomplete LU Factorization
intermediate computer science
Kernel PCA
Krylov Subspace
Laplacian Smoothing
Latin Square
linear
linear algebra
LS Solution
LU Decomposition
mathematical modelling
matrix decomposition
matrix factorisation
Monge Patch
non-trivial geometric problems
numerical methods
Piecewise Linear Interpolation
practical problem solving in geometry
principal
principal component analysis
Principal Curvatures
product
rigid
Scatter Matrix
scientific visualisation
Shepard's Interpolation
Shepard’s Interpolation
Skewing Schemes
SPD
Spectral Coefficients
Spectral Embedding
Spectral Transform
system
transformation
Triangle Mesh
Vertical Seam
Vice Versa
visual computing

Product details

  • ISBN 9780367658786
  • Weight: 1330g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 Sep 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Description

A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing shows how to use a collection of mathematical techniques to solve important problems in applied mathematics and computer science areas. The book discusses fundamental tools in analytical geometry and linear algebra. It covers a wide range of topics, from matrix decomposition to curvature analysis and principal component analysis to dimensionality reduction.

Written by a team of highly respected professors, the book can be used in a one-semester, intermediate-level course in computer science. It takes a practical problem-solving approach, avoiding detailed proofs and analysis. Suitable for readers without a deep academic background in mathematics, the text explains how to solve non-trivial geometric problems. It quickly gets readers up to speed on a variety of tools employed in visual computing and applied geometry.

About
Daniel Cohen-Or, Chen Grief, Tao Ju, Niloy J. Mitra, Ariel Shamir, Olga Sorkine-Hornung, Hao (Richard) Zhang