Now showing items 1-20 of 181

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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, ...
    • SkelTre - Fast Skeletonisation for Imperfect Point Cloud Data of Botanic Trees 

      Bucksch, Alexander; Lindenbergh, Roderik C.; Menenti, M. (The Eurographics Association, 2009)
      Terrestrial laser scanners capture 3D geometry as a point cloud. This paper reports on a new algorithm aiming at the skeletonisation of a laser scanner point cloud, representing a botanical tree without leafs. The resulting ...
    • Visual Vocabulary Signature for 3D Object Retrieval and Partial Matching 

      Toldo, Roberto; Castellani, Umberto; Fusiello, Andrea (The Eurographics Association, 2009)
      In this paper a novel object signature is proposed for 3D object retrieval and partial matching. A part-based representation is obtained by partitioning the objects into subparts and by characterizing each segment with ...
    • Automatic 3D Facial Region Retrieval from Multi-pose Facial Datasets 

      Perakis, Panagiotis; Theoharis, Theoharis; Passalis, Georgios; Kakadiaris, Ioannis A. (The Eurographics Association, 2009)
      The availability of 3D facial datasets is rapidly growing, mainly as a result of medical and biometric applications. These applications often require the retrieval of specific facial areas (such as the nasal region). The ...
    • A 3D Shape Benchmark for Retrieval and Automatic Classification of Architectural Data 

      Wessel, Raoul; Blümel, Ina; Klein, Reinhard (The Eurographics Association, 2009)
      When drafting new buildings, architects make intensive use of existing 3D models including building elements, furnishing, and environment elements. These models are either directly included into the draft or serve as a ...
    • Template Based Shape Descriptor 

      Rustamov, Raif M. (The Eurographics Association, 2009)
      We introduce a new 3D shape descriptor which maps the surface features onto an arbitrary template surface using mean-value interpolation. A compact numerical shape descriptor is extracted using manifold harmonics on the ...
    • SHREC 2009 - Shape Retrieval Contest 

      Veltkamp, Remco. C.; Haar, Frank B. ter (The Eurographics Association, 2009)
      The general objective of the 3D Shape Retrieval Contest (see http://www.aimatshape.net/event/ SHREC) is to evaluate the effectiveness of 3D-shape retrieval algorithms. After three years of success, the contest is now ...
    • Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features 

      Kanezaki, Asako; Harada, T.; Kuniyoshi, Y. (The Eurographics Association, 2009)
      In recent years the need for the retrieval of real 3D objects is growing more and more. However, if the 3D models are obtained without the use of special equipment such as engineered environments or multi-camera systems, ...
    • 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. ...
    • Multilevel Relevance Feedback for 3D Shape Retrieval 

      Giorgi, Daniela; Frosini, Patrizio; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2009)
      Relevance feedback techniques are expected to play an important role in 3D search engines, as they help to bridge the semantic gap between the user and the system: similarity is a cognitive process, depending on the observer. ...
    • 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 ...