Now showing items 1-10 of 10

    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...