Robust structure-based shape correspondence
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. Webspondence between deformable 3D shapes. Existing learn-ing based approaches model shape correspondence as a la-belling problem, where each point of a query shape receives a label identifying a point on some reference domain; the correspondence is then constructed a posteriori by com-posing the label predictions of two input shapes. We pro-
Robust structure-based shape correspondence
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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 … WebRobust Structure-based Shape Correspondence. Yanir Kleiman and Maks Ovsjanikov, CGF 2024. This code finds sturcture aware correspondences between regions on 3D shapes. The input shapes can be provided in .off format. The code allows matching each shape as …
WebTo 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. 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 …
Webaccurate and robust to changes in shape structure. Key to our method is a feature-extraction network that learns di-rectly from raw shape geometry, combined with a novel reg-ularized map extraction layer and loss, based on the func-tional map representation. We demonstrate through exten-sive experiments in challenging shape matching scenarios http://perception.inrialpes.fr/Publications/2010/BBCDGHKKVMOS10/matching_shrec2010.pdf
WebOct 16, 2024 · Title: Robust Structure-based Shape Correspondence. Authors: Yanir Kleiman, Maks Ovsjanikov ... The 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 …
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 … perishable\\u0027s hrWebshape correspondence for two nearly isometric surfaces based on local pairwise descriptor and an efficient itera-tive algorithm with sparsity control for the doubly stochas-tic matrix to solve the relaxed QAP. The main novelty and contribution of our proposed method … perishable\\u0027s hxWebOct 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... perishable\\u0027s iWebA 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 … perishable\\u0027s hyWebRecent studies have developed deep neural networks for robust point descriptor and shape correspondence learning in consideration of local structural information. ... the proposed topology preservation concept can be easily generalized to other learning-based shape analysis tasks to regularize the topological structure of high-dimensional ... perishable\\u0027s ibWebMay 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, … perishable\\u0027s isWebWe introduce the Concept→Model→Graph→View Cycle (CMGVC). The CMGVC facilitates coherent architecture analysis, reasoning, insight, and decision making based on conceptual models that are transformed into a generic, robust graph data structure (GDS). The GDS is then transformed into multiple views of the model, which inform stakeholders in various … perishable\\u0027s ii