Course Description Schedule & Slides Course Notes & Code

#### Computing and Processing Correspondences with Functional Maps

 NOTE: We gave a closely related course with an updated set of course notes, more extensive code demos and slightly different lecture material at SIGGRAPH 2017. The corresponding course website is on the dedicated course website. Course Notes: You can find a set of course notes prepared for this course here: Computing and Processing Correspondences with Functional Maps (60 pages, 19MB). Sample Code: The following set of MATLAB scripts implements a method for computing functional maps described in the paper: Informative Descriptor Preservation via Commutativity for Shape Matching, Eurographics 2017. You can find this code here. Please see the included README file for an example use of the code. The following set of MATLAB scripts implements the basic pipeline for computing a map between a pair of shapes using the functional representation. It is based on the description given in the following paper and was used to obtain the results presented in this paper:  Functional Maps: A Flexible Representation of Maps Between Shapes, SIGGRAPH 2012. You can find this code here. To use it, please run the file runme.m inside "clean_code" to see an example with two shapes (cat0 and cat10). Note that this code requires as input some shape segmentations (provided for these examples) and tries to establish correspondences between segments, which are used as input constraints to find the functional map. The segmentations used to obtain results shown in the paper can be found here. In addition, you can find the code for computing persistence-based segmentations (used to generate these results): here. The following code (also in MATLAB) implements the method described in the paper:  Non-rigid Puzzles, SGP 2016. You can find this code here. In particular, you can reproduce the figures presented in the paper by running the script reproduce_paper_figures.m To run it on your own data, run the function solveNonRigidPuzzle with the parameters used for Figure 1 (in the reproduce_paper_figures.m script). The following code implements the method described in the paper:  Point-wise Map Recovery and Refinement from Functional Correspondence, VMV 2015. You can find this code here. To use it simply run demo.m which loads two example shapes. To use it on your own data, simply replace the shapes with your own (the only requirement is to have pre-computed eigenvectors of the Laplacian of each shape). See run_cpd.m for the format. The following code implements the method described in the paper:  Supervised Descriptor Learning for Non-Rigid Shape Matching, NORDIA 2014. You can find this code here To use it please look at the the Readme.txt, which describes how to reproduce Figure 5b of the paper. You need to download the TOSCA dataset which can be found here. Further Reading: Below is a non-exhaustive list of articles covered in the course and some follow-up works based on the functional map representation. Functional Maps: A Flexible Representation of Maps Between Shapes, M. Ovsjanikov et al., SIGGRAPH 2012. Coupled quasi-harmonic bases, A. Kovnatsky et al., Computer Graphics Forum 2012. Sparse modeling of intrinsic correspondences., J. Porkass et al., Computer Graphics Forum, 2013. Analysis and Visualization of Maps Between Shapes, M. Ovsjanikov et al., Computer Graphics Forum 2013. Map-Based Exploration of Intrinsic Shape Differences and Variability, R. Rustamov et al., SIGGRAPH 2013. An Operator Approach to Tangent Vector Field Processing, O. Azencot et al., Computer Graphics Forum 2013. Shape Matching via Quotient Spaces, M. Ovsjanikov et al., Computer Graphics Forum 2013. Supervised Descriptor Learning for Non-Rigid Shape Matching, E. Corman et al., Proc. NORDIA 2014. Functional map networks for analyzing and exploring large shape collections, Q. Huang et al., SIGGRAPH 2014. Shape-from-operator: Recovering shapes from intrinsic operators, D. Boscaini et al., Computer Graphics Forum, 2015. Continuous Matching via Vector Field Flow, E. Corman et al., Computer Graphics Forum 2015. Point-wise map recovery and refinement from functional correspondence, E. Rodolà et al., Computer Graphics Forum 2016. Partial functional correspondence, E. Rodolà et al., Computer Graphics Forum 2016. Non-rigid puzzles, O. Litany et al., Computer Graphics Forum 2016. Regularized point-wise map recovery from functional correspondence, E. Rodolà et al., Computer Graphics Forum 2016.