3DOR: Eurographics Workshop on 3D Object Retrieval: Recent submissions

Now showing items 121-140 of 200

    • Temporal Ensemble of Shape Functions 

      Brkic, Karla; Aldomà, Aitor; Vincze, Markus; Segvic, Sinisa; Kalafatic, Zoran (The Eurographics Association, 2014)
      This paper proposes novel descriptors that integrate information from multiple views of a 3D object, called Temporal Ensemble of Shape Functions (TESF) descriptors. The TESF descriptors are built by combining per-view ...

    • Manifold Harmonic Transform and Spatial Relationships for Partial 3D Object Retrieval 

      Hoang, Nguyen Vu; Gouet-Brunet, Valérie (The Eurographics Association, 2014)
      This paper presents an approach for 3D object retrieval, dedicated to partial shape retrieval in large datasets. A word manipulation, i.e. quantized descriptors, as in the Bag-of-Words representation is employed, based on ...

    • Symmetry and Fourier Descriptor: A Hybrid Feature For NURBS based B-Rep Models Retrieval 

      Dang, Quoc Viet; Morin, Geraldine; Mouysset, Sandrine (The Eurographics Association, 2014)
      As the number of models in 3D databases grows, an efficient 3D models indexing mechanism and a similarity measure to ease model retrieval are necessary. In this paper, we present a query-by-model framework for NURBS based ...

    • Quantitative Comparison of Hole Filling Methods for 3D Object Search 

      Rojas, Mario A.; Sukno, Federico M.; Waddington, John L.; Whelan, Paul F. (The Eurographics Association, 2014)
      Retrieval of 3D models has become an important issue due to the increase in the number of digitized objects that are available in many different fields. When stored data present defects such as holes, accurate and reliable ...

    • The Canonically Posed 3D Objects Dataset 

      Papadakis, Panagiotis (The Eurographics Association, 2014)
      Shape matching methodologies of generic 3D objects are conventionally preceded by a pose normalization stage, that transforms objects to a canonical coordinate frame wherein feature extraction and shape matching is performed. ...

    • TreeSha: 3D Shape Retrieval with a Tree Graph Representation based on the Autodiffusion Function Topology 

      Garro, Valeria; Giachetti, Andrea (The Eurographics Association, 2014)
      In this paper we present a new method for shape description and matching based on a tree representation built upon the scale space analysis of maxima of the Autodiffusion function (ADF). The use of the Heat Kernel based ...

    • Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation 

      Boscaini, Davide; Girdziusas, Ramunas; Bronstein, Michael M. (The Eurographics Association, 2014)
      Canonical shape analysis is a popular method in deformable shape matching, trying to bring the shape into a canonical form that undoes its non-rigid deformations, thus reducing the problem of non-rigid matching into a rigid ...

    • GeoTopo: Dynamic 3D Facial Expression Retrieval Using Topological and Geometric Information 

      Danelakis, Antonios; Theoharis, Theoharis; Pratikakis, Ioannis (The Eurographics Association, 2014)
      Recently, a lot of research has been dedicated to address the problem of facial expression recognition in dynamic sequences of 3D face scans. On the contrary, no research has been conducted on facial expression retrieval ...

    • On-line and Open Platform for 3D Object Retrieval 

      Bonhomme, Benoit Le; Mustafa, B.; Celakovsky, Sasko; Preda, Marius; Preteux, Francoise; Davcev, D. (The Eurographics Association, 2008)
      In this paper we present the MyMultimediaWorld Internet-based platform designed to benchmark descriptors and description scheme for 3D object retrieval purpose. Relying on the MPEG-4 and MPEG-7 multimedia standards for ...

    • Similarity Score Fusion by Ranking Risk Minimization for 3D Object Retrieval 

      Akgül, Ceyhun Burak; Sankur, Bülent; Yemez, Yücel; Schmitt, Francis (The Eurographics Association, 2008)
      In this work, we introduce a score fusion scheme to improve the 3D object retrieval performance. The state of the art in 3D object retrieval shows that no single descriptor is capable of providing fine grain discrimination ...

    • A 3D Face Recognition Algorithm Using Histogram-based Features 

      Zhou, Xuebing; Seibert, Helmut; Busch, Christoph; Funk, Wolfgang (The Eurographics Association, 2008)
      We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely a precise fully automatic normalization ...

    • A Neurofuzzy Approach to Active Learning based Annotation Propagation for 3D Object Databases 

      Lazaridis, Michalis; Daras, Petros (The Eurographics Association, 2008)
      Most existing Content-based Information Retrieval (CBIR) systems using semantic annotation, either annotate all the objects in a database (full annotation) or a manually selected subset (partial annotation) in order to ...

    • 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 ...

    • Part Analogies in Sets of Objects 

      Shalom, Shy; Shapira, Lior; Shamir, Ariel; Cohen-Or, Daniel (The Eurographics Association, 2008)
      Shape retrieval can benefit from analogies among similar shapes and parts of different objects. By partitioning an object to meaningful parts and finding analogous parts in other objects, sub-parts and partial match queries ...

    • Isometry-invariant Matching of Point Set Surfaces 

      Ruggeri, Mauro R.; Saupe, Dietmar (The Eurographics Association, 2008)
      Shape deformations preserving the intrinsic properties of a surface are called isometries. An isometry deforms a surface without tearing or stretching it, and preserves geodesic distances. We present a technique for matching ...

    • Markov Random Fields for Improving 3D Mesh Analysis and Segmentation 

      Lavoué, Guillaume; Wolf, Christian (The Eurographics Association, 2008)
      Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In this context we present a new method for ...

    • 3D Object Retrieval using an Efficient and Compact Hybrid Shape Descriptor 

      Papadakis, Panagiotis; Pratikakis, Ioannis; Theoharis, Theoharis; Passalis, Georgios; Perantonis, Stavros (The Eurographics Association, 2008)
      Abstract We present a novel 3D object retrieval method that relies upon a hybrid descriptor which is composed of 2D features based on depth buffers and 3D features based on spherical harmonics. To compensate for rotation, ...

    • Characterizing Shape Using Conformal Factors 

      Ben-Chen, Mirela; Gotsman, Craig (The Eurographics Association, 2008)
      We present a new 3D shape descriptor based on conformal geometry. Our descriptor is invariant under non-rigid quasi-isometric transformations, such as pose changes of articulated models, and is both compact and efficient ...

    • SHREC'09 Track: Structural Shape Retrieval on Watertight Models 

      Hartveldt, J.; Spagnuolo, M.; Axenopoulos, A.; Biasotti, S.; Daras, P.; Dutagaci, H.; Furuya, T.; Godil, A.; Li, X.; Mademlis, A.; Marini, S.; Napoleon, T.; Ohbuchi, R.; Tezuka, M. (The Eurographics Association, 2009)
      The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the structural shape retrieval track focuses ...

    • SHREC'09 Track: Generic Shape Retrieval 

      Godil, A.; Dutagaci, H.; Akgül, C.; Axenopoulos, A.; Bustos, B.; Chaouch, M.; Daras, P.; Furuya, T.; Kreft, S.; Lian, Z.; Napoléon, T.; Mademlis, A.; Ohbuchi, R.; Rosin, P. L.; Sankur, B.; Schreck, Tobias; Sun, X.; Tezuka, M.; Verroust-Blondet, A.; Walter, M.; Yemez, Y. (The Eurographics Association, 2009)
      In this paper we present the results of the SHREC'09- Generic Shape Retrieval Contest. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on the NIST generic shape benchmark. ...