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Spectral Conformal Parameterization
Authors:Patrick Mullen  Yiying Tong  Pierre Alliez  Mathieu Desbrun
Affiliation:1. Caltech;2. Michigan State University;3. INRIA Sophia‐Antipolis
Abstract:We present a spectral approach to automatically and efficiently obtain discrete free‐boundary conformal parameterizations of triangle mesh patches, without the common artifacts due to positional constraints on vertices and without undue bias introduced by sampling irregularity. High‐quality parameterizations are computed through a constrained minimization of a discrete weighted conformal energy by finding the largest eigenvalue/eigenvector of a generalized eigenvalue problem involving sparse, symmetric matrices. We demonstrate that this novel and robust approach improves on previous linear techniques both quantitatively and qualitatively.
Keywords:
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