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Proceedings ArticleDOI

Laplacian surface editing

TLDR
In this paper, the Laplacian of the mesh is enhanced to be invariant to locally linearized rigid transformations and scaling, which can be used to perform surface editing at interactive rates.
Abstract
Surface editing operations commonly require geometric details of the surface to be preserved as much as possible. We argue that geometric detail is an intrinsic property of a surface and that, consequently, surface editing is best performed by operating over an intrinsic surface representation. We provide such a representation of a surface, based on the Laplacian of the mesh, by encoding each vertex relative to its neighborhood. The Laplacian of the mesh is enhanced to be invariant to locally linearized rigid transformations and scaling. Based on this Laplacian representation, we develop useful editing operations: interactive free-form deformation in a region of interest based on the transformation of a handle, transfer and mixing of geometric details between two surfaces, and transplanting of a partial surface mesh onto another surface. The main computation involved in all operations is the solution of a sparse linear system, which can be done at interactive rates. We demonstrate the effectiveness of our approach in several examples, showing that the editing operations change the shape while respecting the structural geometric detail.

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Citations
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Proceedings ArticleDOI

As-rigid-as-possible surface modeling

TL;DR: This work argues that defining a modeling operation by asking for rigidity of the local transformations is useful in various settings, and devise a simple iterative mesh editing scheme based on this principle, that leads to detail-preserving and intuitive deformations.
Journal ArticleDOI

As-rigid-as-possible shape manipulation

TL;DR: An interactive system that lets a user move and deform a two-dimensional shape without manually establishing a skeleton or freeform deformation (FFD) domain beforehand and uses quadratic error metrics so that each minimization problem becomes a system of linear equations.
Journal ArticleDOI

Physically Based Deformable Models in Computer Graphics

TL;DR: This paper presents the most significant contributions of the past decade, which produce such impressive and perceivably realistic animations and simulations: finite element/difference/volume methods, mass‐spring systems, mesh‐free methods, coupled particle systems and reduced deformable models‐based on modal analysis.
Journal ArticleDOI

On Linear Variational Surface Deformation Methods

TL;DR: This survey reviews the recent advances in linear variational mesh deformation techniques and provides a systematic classification and comparative description of the different techniques, revealing the strengths and weaknesses of each approach in common editing scenarios.
Proceedings Article

Physically Based Deformable Models in Computer Graphics.

TL;DR: In this article, the most significant contributions of the past decade, which produce such impressive and perceivably realistic animations and simulations: finite element/difference/volume methods, mass-spring systems, mesh free methods, coupled particle systems and reduced deformable models based on modal analysis.
References
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Journal ArticleDOI

Free-form deformation of solid geometric models

TL;DR: A technique is presented for deforming solid geometric models in a free-form manner based on trivariate Bernstein polynomials, and provides the designer with an intuitive appreciation for its effects.
Proceedings ArticleDOI

Poisson image editing

TL;DR: Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions, which permits the seamless importation of both opaque and transparent source image regions into a destination region.
Book

Curves and Surfaces for Computer-Aided Geometric Design: A Practical Guide

TL;DR: The fourth edition has been thoroughly updated and revised to include a new chapter on recursive subdivision, as well as new sections on triangulations and scattered data interpolants, and the disk in the back of the book has been updated to include all of the programs, as the data sets from the text.
Proceedings ArticleDOI

A signal processing approach to fair surface design

TL;DR: A very simple surface signal low-pass filter algorithm that applies to surfaces of arbitrary topology that is a linear time and space complexity algorithm and a very effective fair surface design technique.