Sparse Modeling of Intrinsic Correspondences

An optimization approach for extracting and encoding consistent maps in a shape collection

(2012) Qi-Xing Huang et al.   ACM TRANSACTIONS ON GRAPHICS

Functional maps

(2012) Maks Ovsjanikov et al.   ACM TRANSACTIONS ON GRAPHICS

Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering

(2011) Oana Sidi et al.   ACM TRANSACTIONS ON GRAPHICS

Joint shape segmentation with linear programming

(2011) Qixing Huang et al.   ACM TRANSACTIONS ON GRAPHICS

Blended intrinsic maps

(2011) Vladimir G. Kim et al.   ACM TRANSACTIONS ON GRAPHICS

Prior Knowledge for Part Correspondence

(2011) Oliver van Kaick et al.   COMPUTER GRAPHICS FORUM

Coarse-to-Fine Combinatorial Matching for Dense Isometric Shape Correspondence

(2011) Y. Sahillioǧlu et al.   COMPUTER GRAPHICS FORUM

Intrinsic Shape Matching by Planned Landmark Sampling

(2011) A. Tevs et al.   COMPUTER GRAPHICS FORUM

An Optimization Approach to Improving Collections of Shape Maps

(2011) Andy Nguyen et al.   COMPUTER GRAPHICS FORUM

Diffusion-geometric maximally stable component detection in deformable shapes

(2011) Roee Litman et al.   COMPUTERS & GRAPHICS-UK

One Point Isometric Matching with the Heat Kernel

(2010) Maks Ovsjanikov et al.   COMPUTER GRAPHICS FORUM

Möbius voting for surface correspondence

(2009) Yaron Lipman et al.   ACM TRANSACTIONS ON GRAPHICS

Shape Analysis Using the Auto Diffusion Function

(2009) K. Gȩbal et al.   COMPUTER GRAPHICS FORUM

A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion

(2009) Jian Sun et al.   COMPUTER GRAPHICS FORUM

Consistent segmentation of 3D models

(2009) Aleksey Golovinskiy et al.   COMPUTERS & GRAPHICS-UK

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

(2009) Alexander M. Bronstein et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences