Curve And Surface Reconstruction PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Curve And Surface Reconstruction PDF full book. Access full book title Curve And Surface Reconstruction.
Author | : Tamal K. Dey |
Publisher | : Cambridge University Press |
Total Pages | : 229 |
Release | : 2006-10-16 |
Genre | : Computers |
ISBN | : 1139460684 |
Download Curve and Surface Reconstruction Book in PDF, ePub and Kindle
Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book, first published in 2007, shows how to compute a digital model from this point sample. After developing the basics of sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples. Voronoi- and Delaunay-based techniques, implicit surface-based methods and Morse theory-based methods are covered. Scientists and engineers working in drug design, medical imaging, CAD, GIS, and many other areas will benefit from this first book on the subject.
Author | : Tamal Krishna Dey |
Publisher | : |
Total Pages | : 214 |
Release | : 2007 |
Genre | : Curves on surfaces |
ISBN | : 9780511260766 |
Download Curve and Surface Reconstruction Book in PDF, ePub and Kindle
Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book, first published in 2007, shows how to compute a digital model from this point sample. After developing the basics of sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples. Voronoi- and Delaunay-based techniques, implicit surface-based methods and Morse theory-based methods are covered. Scientists and engineers working in drug design, medical imaging, CAD, GIS, and many other areas will benefit from this first book on the subject.
Author | : Martin Weber |
Publisher | : |
Total Pages | : |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Curve and Surface Reconstruction from Images and Sparse Finite Element Level-sets Book in PDF, ePub and Kindle
Author | : Sheung-Hung Poon |
Publisher | : |
Total Pages | : 246 |
Release | : 2004 |
Genre | : Computer graphics |
ISBN | : |
Download Curve and Surface Reconstruction from Noisy Samples Book in PDF, ePub and Kindle
Author | : Tamal Krishna Dey |
Publisher | : |
Total Pages | : 214 |
Release | : 2007 |
Genre | : Curves on surfaces |
ISBN | : 9781107169081 |
Download Curve and Surface Reconstruction: Surface reconstruction Book in PDF, ePub and Kindle
Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book, first published in 2007, shows how to compute a digital model from this point sample. After developing the basics of sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples. Voronoi- and Delaunay-based techniques, implicit surface-based methods and Morse theory-based methods are covered. Scientists and engineers working in drug design, medical imaging, CAD, GIS, and many other areas will benefit from this first book on the subject.
Author | : Lian Fang |
Publisher | : |
Total Pages | : 193 |
Release | : 1994 |
Genre | : |
ISBN | : |
Download Physically-based Methods for Parametric Curve and Surface Reconstruction Book in PDF, ePub and Kindle
Author | : Tamal Krishna Dey |
Publisher | : |
Total Pages | : 214 |
Release | : 2007 |
Genre | : Curves on surfaces |
ISBN | : 9780511320095 |
Download Curve and Surface Reconstruction: Noise and reconstruction Book in PDF, ePub and Kindle
Many applications in science and engineering require a digital model of a real physical object. Advanced scanning technology has made it possible to scan such objects and generate point samples on their boundaries. This book, first published in 2007, shows how to compute a digital model from this point sample. After developing the basics of sampling theory and its connections to various geometric and topological properties, the author describes a suite of algorithms that have been designed for the reconstruction problem, including algorithms for surface reconstruction from dense samples, from samples that are not adequately dense and from noisy samples. Voronoi- and Delaunay-based techniques, implicit surface-based methods and Morse theory-based methods are covered. Scientists and engineers working in drug design, medical imaging, CAD, GIS, and many other areas will benefit from this first book on the subject.
Author | : Zhiyang Huang (Computer scientist) |
Publisher | : |
Total Pages | : 137 |
Release | : 2019 |
Genre | : Electronic dissertations |
ISBN | : |
Download Toward Controllable and Robust Surface Reconstruction from Spatial Curves Book in PDF, ePub and Kindle
Reconstructing surface from a set of spatial curves is a fundamental problem in computer graphics and computational geometry. It often arises in many applications across various disciplines, such as industrial prototyping, artistic design and biomedical imaging. While the problem has been widely studied for years, challenges remain for handling different type of curve inputs while satisfying various constraints. We study studied three related computational tasks in this thesis. First, we propose an algorithm for reconstructing multi-labeled material interfaces from cross-sectional curves that allows for explicit topology control. Second, we addressed the consistency restoration, a critical but overlooked problem in applying algorithms of surface reconstruction to real-world cross-sections data. Lastly, we propose the Variational Implicit Point Set Surface which allows us to robustly handle noisy, sparse and non-uniform inputs, such as samples from spatial curves.
Author | : Jean-Daniel Boissonnat |
Publisher | : Springer Science & Business Media |
Total Pages | : 352 |
Release | : 2006-10-24 |
Genre | : Mathematics |
ISBN | : 3540332596 |
Download Effective Computational Geometry for Curves and Surfaces Book in PDF, ePub and Kindle
This book covers combinatorial data structures and algorithms, algebraic issues in geometric computing, approximation of curves and surfaces, and computational topology. Each chapter fully details and provides a tutorial introduction to important concepts and results. The focus is on methods which are both well founded mathematically and efficient in practice. Coverage includes references to open source software and discussion of potential applications of the presented techniques.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2003 |
Genre | : |
ISBN | : |
Download An algorithm for curve reconstruction from sparse points Book in PDF, ePub and Kindle
A reconstrução de curvas e superfícies a partir de pontos esparsos é um problema que tem recebido bastante atenção ultimamente. A não-estruturação dos pontos (ou seja, desconhecimento das relações de vizinhança e proximidade) e a presença de ruído são dois fatores que tornam este problema complexo. Para resolver este problema, várias técnicas podem ser utilizadas, como triangulação de Delaunay, reconstrução de iso-superfícies através de Marching Cubes e algoritmos baseados em avanço de fronteira. O algoritmo proposto consiste de quatro etapas principais: a primeira etapa é a clusterização dos pontos de amostragem de acordo com sua localização espacial. A clusterização fornece uma estrutura espacial para os pontos, e consiste em dividir o espaço em células retangulares de mesma dimensão, classificando as células em cheias (caso possuam pontos de amostragem em seu interior) ou vazias (caso não possuam pontos de amostragem em seu interior). A estrutura de dados gerada nesta etapa permite também obter o conjunto dos pontos de amostragem de cada uma das células. A segunda etapa é o processamento dos pontos através de projeções MLS. A etapa de pré-processameno visa reduzir ruído dos pontos de amostragem, bem como adequar a densidade de pontos ao nível de detalhe esperado, adicionando ou removendo pontos do conjunto inicial. A terceira etapa parte do conjunto das células que possuem pontos de amostragem em seu interior (células cheias) e faz a esqueletonização deste conjunto de células, obtendo, assim, uma aproximação digital para a curva a ser reconstruída. Este esqueleto é encontrado através do afinamento topológico das células que possuem pontos. A implementação do algoritmo de afinamento é feita de modo que o número de pontos em cada célula seja levado em consideração, removendo primeiro sempre as células com menor número de pontos. Na quarta etapa, a reconstrução da curva é finalmente realizada. Para tal, parte-se do esqueleto obtido na terceira etapa e constrói-se uma curva linear por partes, onde cada vértice é obtido a partir da projeção MLS do ponto médio de cada célula do esqueleto.