Geometric Methods and Applications: For Computer Science and Engineering
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Summary
This book is an introduction to the fundamental concepts and tools needed for solving problems of a geometric nature using a computer, and attempts to fill the gap between standard geometry books, which are primarily theoretical, and applied books on computer graphics, computer vision, robotics, or machine learning.
- Type
- book
- Published
- 2000-11-03
- Cited by
- 274
- References
- 55
- OpenAlex
- https://openalex.org/W519944
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62606239
Keywords
Computer science, Geometric design, Geometric modeling, Geometric shape, Engineering drawing
References
- Differential Geometry: Cartan's Generalization of Klein's Erlangen Program
- The Classical Groups
- Differential forms and applications
- Géométrie et topologie des surfaces
- Géométrie différentielle et mécanique analytique
- Géométrie différentielle intrinséque
- Curves and surfaces in geometric modeling: theory and algorithms
- Algebraic Geometry: A First Course
- Géométrie différentielle : variétés, courbes et surfaces
- The NURBS Book
- The Real Projective Plane
- Geometric concepts for geometric design
- Curves and surfaces for cagd
- NURB curves and surfaces: from projective geometry to practical use
- Lectures on Polytopes
- Differential Geometry of Curves and Surfaces
- The minimum size of a finite subspace partition
- Algèbre linéaire et géométrie élémentaire
- An introduction to differentiable manifolds and Riemannian geometry
- Introduction to applied mathematics
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- Discrete Mathematics, Some Notes
- A Guide to the Classification Theorem for Compact Surfaces
- Incremental algorithms for the design of triangular -based spline surfaces
- Explicit Model Predictive Control:Solutions Via Computational Geometry
- Finding dots in microscopic images
- Construction of C ∞ Surfaces From Triangular Meshes Using Parametric Pseudo-Manifolds
- A Quick-and-Dirty Approach to Robustness in Linear Optimization
- Simultaneous Localization and Mapping for Mobile Robots: Introduction and Methods
- ClusterMap: labeling clusters in large datasets via visualization
- Texture registration for 3D models
- Matrix Support Functionals for Inverse Problems, Regularization, and Learning
- An Alternative Approach to Elliptical Motion
- parametrierte Modelle mit Anwendungen in der Finite-Elemente-Simulation von Mikrowellenstrukturen
- Cable driven robot for camera motion with six degrees of freedom
- Gradient based Approximate Joint Diagonalization by orthogonal transforms
- The exponential map for the group of similarity transformations and applications to motion interpolation
- Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter
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