In this paper, we provide stability guarantees for two frameworks that are based on the notion of functional maps – the shape difference operators introduced in [?] and the framework of [?] which is used to analyze and visualize the deformations between shapes induced by a functional map. We consider two types of perturbations in our analysis:...
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2017 (v1)Journal articleUploaded on: February 28, 2023
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June 15, 2016 (v1)Conference paper
In this paper, we propose a novel pooling approach for shape classification and recognition using the bag-of-words pipeline, based on topological persistence, a recent tool from Topological Data Analysis. Our technique extends the standard max-pooling, which summarizes the distribution of a visual feature with a single number, thereby losing...
Uploaded on: February 28, 2023 -
June 2024 (v1)Publication
Although polygon meshes have been a standard representation in geometry processing, their irregular and combinatorial nature hinders their suitability for learning-based applications. In this work, we introduce a novel learnable mesh representation through a set of local 3D sample Points and their associated Normals and Quadric error metrics...
Uploaded on: July 13, 2024 -
June 2024 (v1)Conference paper
Although polygon meshes have been a standard representation in geometry processing, their irregular and combinatorial nature hinders their suitability for learning-based applications. In this work, we introduce a novel learnable mesh representation through a set of local 3D sample Points and their associated Normals and Quadric error metrics...
Uploaded on: September 24, 2024 -
October 2, 2023 (v1)Conference paper
In stark contrast to the case of images, finding a concise, learnable discrete representation of 3D surfaces remains a challenge. In particular, while polygon meshes are arguably the most common surface representation used in geometry processing, their irregular and combinatorial structure often make them unsuitable for learning-based...
Uploaded on: October 11, 2023 -
July 30, 2017 (v1)Conference paper
Notions of similarity and correspondence between geometric shapes and images arecentral to many tasks in geometry processing, computer vision, and computer graphics.The goal of this course is to familiarize the audience with a set of recent techniques thatgreatly facilitate the computation of mappings or correspondences between...
Uploaded on: February 28, 2023