Now showing items 47-66 of 200

    • Edge-based LBP Description of Surfaces with Colorimetric Patterns 

      Thompson, Elia Moscoso; Biasotti, Silvia (The Eurographics Association, 2018)
      In this paper we target the problem of the retrieval of colour patterns over surfaces. We generalize to surface tessellations the well known Local Binary Pattern (LBP) descriptor for images. The key concept of the LBP is ...
    • An Edit Distance for Reeb Graphs 

      Bauer, Ulrich; Fabio, Barbara Di; Landi, Claudia (The Eurographics Association, 2016)
      We consider the problem of assessing the similarity of 3D shapes using Reeb graphs from the standpoint of robustness under perturbations. For this purpose, 3D objects are viewed as spaces endowed with real-valued functions, ...
    • Effective Shapes Generation for Bayesian CAD Model Reconstruction 

      Bey, Aurelien; Chaine, Raphaelle; Marc, Raphael; Thibault, Guillaume (The Eurographics Association, 2012)
      We address the reconstruction of CAD models from 3D point clouds, assuming that an a priori CAD model, roughly similar to the scene to reconstruct, is given. The problem can be solved using a Bayesian approach which states ...
    • Eurographics Workshop on 3D Object Retrieval - Short Papers: Frontmatter 

      Berretti, Stefano; Thehoaris, Theoharis; Daoudi, Mohamed; Ferrari, Claudio; Veltkamp, Remco C. (The Eurographics Association, 2022)
    • Eurographics Workshop on 3D Object Retrieval - Short Papers: Frontmatter 

      Fugacci, Ulderico; Lavoué, Guillaume; Veltkamp, Remco C. (The Eurographics Association, 2023)
    • Eurographics Workshop on 3D Object Retrieval: Short Papers Frontmatter 

      Schreck, Tobias; Theoharis, Theoharis; Pratikakis, Ioannis; Spagnuolo, Michela; Veltkamp, Remco C. (The Eurographics Association, 2020)
    • Eurographics Workshop on 3D Object Retrieval: Short Papers Frontmatter 

      Biasotti, Silvia; Dyke, Roberto M.; Lai, Yukun; Rosin, Paul L.; Veltkamp, Remco C. (The Eurographics Association, 2021)
    • An Evaluation of Local Feature Encodings for Shape Retrieval 

      Tasse, Flora Ponjou; Kosinka, Jiri; Dodgson, Neil A. (The Eurographics Association, 2016)
      Local features are successfully used in 3D shape retrieval by encoding features descriptors into global shape signatures. Previous 3D retrieval systems use different encoding methods, such as histogram encoding and Fisher ...
    • An Experimental Shape Matching Approach for Protein Docking 

      Fernandes, Francisco; Ferreira, Alfredo (The Eurographics Association, 2016)
      Proteins play a vital role in biological processes, with their function being largely determined by their structure. It is important to know what a protein binds, where it binds, how it binds, and what is its final ...
    • Experimental Similarity Assessment for a Collection of Fragmented Artifacts 

      Biasotti, Silvia; Thompson, Elia Moscoso; Spagnuolo, Michela (The Eurographics Association, 2018)
      In the Visual Heritage domain, search engines are expected to support archaeologists and curators to address cross-correlation and searching across multiple collections. Archaeological excavations return artifacts that ...
    • Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval 

      Sfikas, Konstantinos; Theoharis, Theoharis; Pratikakis, Ioannis (The Eurographics Association, 2017)
      A novel 3D model classification and retrieval method, based on the PANORAMA representation and Convolutional Neural Networks, is presented. Initially, the 3D models are pose normalized using the SYMPAN method and consecutively ...
    • Extended 2D Scene Image-Based 3D Scene Retrieval 

      Abdul-Rashid, Hameed; Yuan, Juefei; Li, Bo; Lu, Yijuan; Schreck, Tobias; Bui, Ngoc-Minh; Do, Trong-Le; Holenderski, Mike; Jarnikov, Dmitri; Le, Khiem T.; Menkovski, Vlado; Nguyen, Khac-Tuan; Nguyen, Thanh-An; Nguyen, Vinh-Tiep; Ninh, Tu V.; Rey, Perez; Tran, Minh-Triet; Wang, Tianyang (The Eurographics Association, 2019)
      In the months following our SHREC 2018 - 2D Scene Image-Based 3D Scene Retrieval (SceneIBR2018) track, we have extended the number of the scene categories from the initial 10 classes in the SceneIBR2018 benchmark to 30 ...
    • Extended 2D Scene Sketch-Based 3D Scene Retrieval 

      Yuan, Juefei; Abdul-Rashid, Hameed; Li, Bo; Lu, Yijuan; Schreck, Tobias; Bui, Ngoc-Minh; Do, Trong-Le; Nguyen, Khac-Tuan; Nguyen, Thanh-An; Nguyen, Vinh-Tiep; Tran, Minh-Triet; Wang, Tianyang (The Eurographics Association, 2019)
      Sketch-based 3D scene retrieval is to retrieve 3D scene models given a user's hand-drawn 2D scene sketch. It is a brand new but also very challenging research topic in the field of 3D object retrieval due to the semantic ...
    • Extended Large Scale Sketch-Based 3D Shape Retrieval 

      Li, B.; Lu, Y.; Li, C.; Godil, A.; Schreck, Tobias; Aono, M.; Burtscher, M.; Fu, H.; Furuya, T.; Johan, H.; Liu, J.; Ohbuchi, R.; Tatsuma, A.; Zou, C. (The Eurographics Association, 2014)
      Large scale sketch-based 3D shape retrieval has received more and more attentions in the community of contentbased 3D object retrieval. The objective of this track is to evaluate the performance of different sketch-based ...
    • Face Recognition by SVMs Classification and Manifold Learning of 2D and 3D Radial Geodesic Distances 

      Berretti, Stefano; Bimbo, Alberto Del; Pala, Pietro; Mata, Francisco Josè Silva (The Eurographics Association, 2008)
      An original face recognition approach based on 2D and 3D Radial Geodesic Distances (RGDs), respectively computed on 2D face images and 3D face models, is proposed in this work. In 3D, the RGD of a generic point of a 3D ...
    • Fast Feature Curve Extraction for Similarity Estimation of 3D Meshes 

      Romanelis, Ioannis; Arvanitis, Gerasimos; Moustakas, Konstantinos (The Eurographics Association, 2020)
      Feature extraction from 3D triangle meshes is a very popular and important task that could contribute to many scientific fields such as computer vision, pattern recognition, medical 3D modeling, etc. However, the main ...
    • Fast Human Classification of 3D Object Benchmarks 

      Jagadeesan, A. P.; Wenzel, J.; Corney, Jonathan R.; Yan, X.; Sherlock, A.; Torres-Sanchez, C.; Regli, William (The Eurographics Association, 2010)
      Although a significant number of benchmark data sets for 3D object based retrieval systems have been proposed over the last decade their value is dependent on a robust classification of their content being available. Ideally ...
    • The Fast Reject Schema for Part-in-Whole 3D Shape Matching 

      Attene, Marco; Marini, Simone; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2010)
      This paper proposes a new framework for an efficient detection of template shapes within a target 3D model, or scene. The proposed approach distinguishes from the previous literature because the part-in-whole matching ...
    • Feature Curve Extraction on Triangle Meshes 

      Moscoso Thompson, Elia; Arvanitis, G.; Moustakas, Konstantinos; Hoang-Xuan, N.; Nguyen, E. R.; Tran, M.; Lejemble, T.; Barthe, L.; Mellado, N.; Romanengo, C.; Biasotti, S.; FALCIDIENO, BIANCA (The Eurographics Association, 2019)
      This paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challenge consists in automatically extracting a subset of the mesh vertices that jointly represent a ...
    • Feature Selection for Enhanced Spectral Shape Comparison 

      Marini, Simone; Patané, Giuseppe; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2010)
      In the context of shape matching, this paper proposes a framework for selecting the Laplacian eigenvalues of 3D shapes that are more relevant for shape comparison and classification. Three approaches are compared to identify ...