Now showing items 189-200 of 200

    • 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 ...
    • 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 ...
    • ThOR: Three-dimensional Object Retrieval Library 

      Pascoal, Pedro B.; Ferreira, Alfredo (The Eurographics Association, 2015)
      Following the increasing number of 3D object collections, researchers developed several algorithms related to 3D object analysis, comparison and retrieval methods. However, there is no simple solution offering researchers ...
    • Towards an Immersive Interface for 3D Object Retrieval 

      Pascoal, Pedro; Ferreira, Alfredo; Jorge, Joaquim (The Eurographics Association, 2012)
      In this paper we propose the use of immersive virtual reality to visualize and explore query results in 3D object retrieval. These results are shown in a three-dimensional virtual space as 3D objects, organized according ...
    • Towards an Observer-oriented Theory of Shape Comparison 

      Frosini, Patrizio (The Eurographics Association, 2016)
      In this position paper we suggest a possible metric approach to shape comparison that is based on a mathematical formalization of the concept of observer, seen as a collection of suitable operators acting on a metric space ...
    • Towards Recognizing of 3D Models Using A Single Image 

      Rashwan, Hatem A.; Chambon, Sylvie; Morin, Geraldine; Gurdjos, Pierre; Charvillat, Vincent (The Eurographics Association, 2017)
      As 3D data is getting more popular, techniques for retrieving a particular 3D model are necessary. We want to recognize a 3D model from a single photograph; as any user can easily get an image of a model he/she would like ...
    • Towards Scientific Benchmarks: On Increasing the Credibility of Benchmarks 

      Gundersen, Odd Erik (The Eurographics Association, 2015)
      Problem: Increasing the credibility of results from scientific benchmarks. Goal: Specify what exactly is required in order for a benchmark to be scientific. Contribution: (i) Specification of what it entails for a benchmark ...
    • Towards the Extraction of Hierarchical Building Descriptions from 3D Indoor Scans 

      Ochmann, Sebastian; Vock, Richard; Wessel, Raoul; Klein, Reinhard (The Eurographics Association, 2014)
      We present a new method for the hierarchical decomposition of 3D indoor scans and the subsequent generation of an according hierarchical graph-based building descriptor. The hierarchy consists of four basic levels with ...
    • 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 ...
    • Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks 

      Boulch, Alexandre; Saux, Bertrand Le; Audebert, Nicolas (The Eurographics Association, 2017)
      In this work, we describe a new, general, and efficient method for unstructured point cloud labeling. As the question of efficiently using deep Convolutional Neural Networks (CNNs) on 3D data is still a pending issue, we ...
    • VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data 

      Hartman, Emmanuel; Pierson, Emery (The Eurographics Association, 2023)
      We present a novel geometric deep learning layer that leverages the varifold gradient (VariGrad) to compute feature vector representations of 3D geometric data. These feature vectors can be used in a variety of downstream ...
    • 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 ...