A Data-Driven Approach to Functional Map Construction and Bases Pursuit
dc.contributor.author | Azencot, Omri | en_US |
dc.contributor.author | Lai, Rongjie | en_US |
dc.contributor.editor | Digne, Julie and Crane, Keenan | en_US |
dc.date.accessioned | 2021-07-10T07:46:18Z | |
dc.date.available | 2021-07-10T07:46:18Z | |
dc.date.issued | 2021 | |
dc.description.abstract | We propose a method to simultaneously compute scalar basis functions with an associated functional map for a given pair of triangle meshes. Unlike previous techniques that put emphasis on smoothness with respect to the Laplace-Beltrami operator and thus favor low-frequency eigenfunctions, we aim for a basis that allows for better feature matching. This change of perspective introduces many degrees of freedom into the problem allowing to better exploit non-smooth descriptors. To effectively search in this high-dimensional space of solutions, we incorporate into our minimization state-of-the-art regularizers. We solve the resulting highly non-linear and non-convex problem using an iterative scheme via the Alternating Direction Method of Multipliers. At each step, our optimization involves simple to solve linear or Sylvester-type equations. In practice, our method performs well in terms of convergence, and we additionally show that it is similar to a provably convergent problem. We show the advantages of our approach by extensively testing it on multiple datasets in a few applications including shape matching, consistent quadrangulation and scalar function transfer. | en_US |
dc.description.number | 5 | |
dc.description.sectionheaders | Shape Matching | |
dc.description.seriesinformation | Computer Graphics Forum | |
dc.description.volume | 40 | |
dc.identifier.doi | 10.1111/cgf.14360 | |
dc.identifier.issn | 1467-8659 | |
dc.identifier.pages | 97-110 | |
dc.identifier.uri | https://doi.org/10.1111/cgf.14360 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf14360 | |
dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
dc.subject | Computing methodologies | |
dc.subject | Shape analysis | |
dc.title | A Data-Driven Approach to Functional Map Construction and Bases Pursuit | en_US |
Files
Original bundle
1 - 1 of 1