Texture Mapping Using Surface Flattening via Multidimensional Scaling
By Gil Zigelman, Ron Kimmel, Nahum Kiryati. IEEE Transactions on Visualization and Computer Graphics, 2002
302 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design
View Paper: https://www.semanticscholar.org/paper/e7a14a4c990e1a816098a90f2e2fd588cf6373ff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Michael M. Bronstein
- A. Bronstein
- Bruno Lévy
- Alla Sheffer
- Kai Hormann
- Ron Kimmel
- Facundo M'emoli
- Guillermo Sapiro
In Computer Graphics and Computer-Aided Design
- Bruno Lévy
- Kai Hormann
- Alla Sheffer
- Michael M. Bronstein
- A. Bronstein
- Nicolas Ray
- Elad Richardson
- Matan Sela
Citations in the corpus
- A technique for measuring anisotropy in atrial conduction to estimate conduction velocity and atrial fibre direction (2018, unknown): “on the matrix of geodesic distances to give 2D coordinates that best preserve geodesic distances [16,17] (Fig.”
- A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching (2010, methodology): “2005), analysis of articulated two-dimensional shapes and images (Ling and Jacobs 2005a, 2005b), texture mapping and object morphing (Bronstein et al. 2007a; Grossman et al. 2002; Zigelman et al. 2002), and shape segmentation (Katz et al.”
- Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry (2006, methodology): “Isomaps and Multidimensional scaling were used to define parameterization algorithms in [32], and more recently in the ISO-charts method [31], used in Microsoft’s DirectX combined with our packing algorithm presented in [22].”
- Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation (2017, methodology): “This feature map is a deformation agnostic representation, which is useful for applications such as facial motion capture [44], face normalization [49] and texture mapping [50].”
- Three-Dimensional Face Recognition (2005, background): “, 1989), texture mapping (Zigelman et al., 2002) and registration of facial images (Bronstein et al.”
- Expression-Invariant 3D Face Recognition (2003, background): “At the same time, acquiring facial geometry is more painstaking than simply capturing a pose, and typically involves using a multicamera setup to record the face from multiple viewpoints.”
- Mesh parameterization: theory and practice (2007, methodology): “Isomaps and Multidimensional scaling were used to de ne parameterization algorithms in [Zigelman et al., 2002], and more recently in the ISO-charts method [Zhou”
- Least squares conformal maps for automatic texture atlas generation (2002, background): “Therefore, the solver cannot get stuck in a local minimum, in contrast with non-linear methods [10, 25, 27, 31] where this property is not guaranteed.”