Robust structure-based shape correspondence

Author: hlxe

August undefined, 2024

http://export.arxiv.org/abs/1710.05592 Webshape graphs are designed to primarily capture the overall structure of the shapes, without reﬂecting precise information about the geometry of each region, which enables us to ﬁnd correspondences between shapes that might have signiﬁcant geometric differences.

CVPR 2024 Open Access Repository

WebJan 10, 2024 · The basic pipeline can be described by the following steps: first to calculate the first k eigenfunctions of the Laplace–Beltrami operators on a pair of shapes; second, to learn the descriptor functions of shapes, and express it upon the basis of the corresponding shape from the equations \mathbf {A_1} and \mathbf {B_1}; third, to calculate the … Webstructure distortion. Finding correspondence between two shapes that would be invariant to a wide variety of transfor-mations is thus a cornerstone problem in many approaches for shape similarity and retrieval. SHREC’10 robust correspondence benchmark simulates one-to-one shape matching, in which the shapes to be matched are modiﬁcations of ... rolling vanity cart

[1710.05592] Robust Structure-based …

WebApr 13, 2024 · A geometric deep learning method is used for correspondence learning. Experimental results verify that the proposed method can predict new shape correspondence for deformed shapes. Also, the proposed method is robust to extreme cases and efficient for making new predictions. WebDec 10, 2024 · For our task-driven approach, we set three phases to compute the correspondences: 1. Feature extraction and descriptors 2. Tuning and optimization 3. Functional mapping and matching Feature Extraction Descriptors. WebWe present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We generate simplified shape graphs by jointly decomposing the shapes, and devise an … rolling vengeance monster truck

Robust Structure‐Based Shape Correspondence

WebIn this paper we propose an approach for computing multiple high-quality near-isometric dense correspondences between a pair of 3D shapes. Our method is fully automatic and does not rely on user-provided landmarks or descriptors. This allows us to analyze the full … WebAug 1, 2014 · A robust method to find region‐level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations is presented, leading to a pipeline that is significantly faster than comparable approaches. rolling versus folding suitcasehttp://www.yanirk.com/Papers/StructureAware_CGF2024.pdf rolling vengeance truck

"WebAug 16, 2024 · With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and efficient) shape retrieval and 3D model classification. Several spectral-based shape … " - Robust structure-based shape correspondence

Robust structure-based shape correspondence

Isometric Shape Correspondence Based on the Geodesic …

WebOct 16, 2024 · Robust Structure-Based Shape Correspondence October 2024 DOI: Authors: Yanir Kleiman Maks Ovsjanikov Request full-text Abstract We present a robust method to find region-level correspondences... WebDec 1, 2024 · Robust Structure-Based Shape Correspondence. Article. Oct 2024; Yanir Kleiman; Maks Ovsjanikov; We present a robust method to find region-level correspondences between shapes, which are invariant ...

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WebA correspondence estimated between a pair of sufﬁciently dis- similar shapes is inherently subject to errors, but incorrect matches are less likely to occur between two similar shapes. We therefore develop a robust correspondence … WebMay 11, 2024 · Recent studies have developed deep neural networks for robust point descriptor and shape correspondence learning in consideration of local structural information. In this article, we developed a novel shape correspondence learning network, …

WebAug 5, 2024 · We demonstrate through extensive experiments in challenging shape matching scenarios that our method can learn from less training data than existing supervised approaches and generalizes significantly better than current descriptor-based … WebWe present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We generate simplified shape graphs by jointly decomposing the shapes, and devise an …

WebApr 6, 2024 · Abstract. We present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We generate simplified shape graphs by jointly decomposing the … WebComputer Graphics Forum. dc.contributor.author: Kleiman, Yanir: en_US: dc.contributor.author: Ovsjanikov, Maks

WebWe present a novel learning-based approach for computing correspondences between non-rigid 3D shapes. Unlike previous methods that either require extensive training data or operate on handcrafted input descriptors and thus generalize poorly across diverse datasets, our approach is both accurate and robust to changes in shape structure.

WebWe present a robust method to find region-level correspondences between shapes, which are invariant to changes in geometry and applicable across multiple shape representations. We generate simplified shape graphs by jointly decomposing the shapes, and devise an adapted graph-matching technique, from which we infer correspondences between shape … rolling vengeance castWebOur shape model is an extension of the metric model used in [2,3,16]. We assume that the shapes are endowed with local and global structure, and try to ﬁnd such a correspondence between the shapes that best preserves these structures. The structures are deﬁned having in mind certain invariance properties required in rolling versus sliding frictionWebSymmetry-robust approaches: Recently, several correspondence techniques that are robust against symmetry ﬂips are introduced. Liu et al. [11] used a symmetry axis to establish correspondences, which ﬁrst matches 1D curves along axes and propagates the matches to the rest of the surface. rolling vertical spreadsWebMay 11, 2024 · To better address the deformation and structural variation challenges inherently present in 3D shapes, researchers have shifted their focus from designing handcrafted point descriptors to learning point descriptors and their correspondences in a data-driven manner. Recent studies have developed deep neural networks for robust point … rolling vertical rackWebThe simplified shape graphs are designed to primarily capture the overall structure of the shapes, without reflecting precise information about the geometry of each region, which enables us to find correspondences between shapes that might have significant geometric differences. ... {Robust Structure‐Based Shape Correspondence}}, author ... rolling vertical blindsWebMar 31, 2024 · Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. We present a novel learning-based approach for computing correspondences between non-rigid 3D shapes. Unlike previous methods that either … rolling vertical bike rackWebMar 31, 2024 · We present a novel learning-based approach for computing correspondences between non-rigid 3D shapes. Unlike previous methods that either require extensive training data or operate on handcrafted input descriptors and thus generalize poorly across diverse datasets, our approach is both accurate and robust to changes in shape structure. Key to … rolling vertical garden