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

Now showing items 161-180 of 200

    • 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 ...

    • 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 ...

    • Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval 

      Wessel, Raoul; Klein, Reinhard (The Eurographics Association, 2010)
      While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of local features still remain open tasks. ...

    • A Robust 3D Interest Points Detector Based on Harris Operator 

      Sipiran, Ivan; Bustos, Benjamin (The Eurographics Association, 2010)
      With the increasing amount of 3D data and the ability of capture devices to produce low-cost multimedia data, the capability to select relevant information has become an interesting research field. In 3D objects, the aim ...

    • Semantics-Driven Approach for Automatic Selection of Best Views of 3D Shapes 

      Laga, Hamid (The Eurographics Association, 2010)
      We introduce a new framework for the automatic selection of the best views of 3D models. The approach is based on the assumption that models belonging to the same class of shapes share the same salient features that ...

    • Robust Volumetric Shape Descriptor 

      Rustamov, Raif M. (The Eurographics Association, 2010)
      This paper introduces a volume-based shape descriptor that is robust with respect to changes in pose and topology. We use modified shape distributions of [OFCD02] in conjunction with the interior distances and barycentroid ...

    • Features Accumulation on a Multiple View Oriented Model for People Re-Identification 

      García, Jorge; Kambhamettu, C.; Gardel, A.; Bravo, I.; Lázaro, J. L. (The Eurographics Association, 2013)
      People re-identification process provides relevant information in order to understand the scene. In this paper, we present a multiple-view oriented model for performing people re-identification in a camera network. An ...

    • Charge Density-Based 3D Model Retrieval Using Bag-of-Feature 

      Alizadeh, Fattah; Sutherland, Alistair (The Eurographics Association, 2013)
      As the number of 3D models is growing on the internet and other domain-specific datasets, the search and retrieval of such models are attracting a lot of attention. A shape descriptor it plays critical roles in the retrieval ...

    • SHREC'13 Track: Large Scale Sketch-Based 3D Shape Retrieval 

      Li, B.; Lu, Y.; Godil, A.; Schreck, Tobias; Aono, M.; Johan, H.; Saavedra, J. M.; Tashiro, S. (The Eurographics Association, 2013)
      Sketch-based 3D shape retrieval has become an important research topic in content-based 3D object retrieval. The aim of this track is to measure and compare the performance of sketch-based 3D shape retrieval methods based ...

    • 3D-Model Retrieval Using Bag-of-Features Based on Closed Curves 

      Khoury, Rachid El; Vandeborre, Jean-Philippe; Daoudi, Mohamed (The Eurographics Association, 2013)
      Bag-of-feature technique is a popular approach in areas of computer vision and pattern recognition. Recently, it plays an important role in shape analysis community and especially in 3D-model retrieval. We present our ...

    • SHREC'13 Track: Large-Scale Partial Shape Retrieval Using Simulated Range Images 

      Sipiran, I.; Meruane, R.; Bustos, B.; Schreck, Tobias; Johan, H.; Li, B.; Lu, Y. (The Eurographics Association, 2013)
      Partial shape retrieval is a challenging problem in content-based 3D model retrieval. This track intends to evaluate the performance of existing algorithms for partial retrieval. The contest is based on a new large-scale ...

    • SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras 

      Machado, J.; Ferreira, A.; Pascoal, P. B.; Abdelrahman, M.; Aono, M.; El-Melegy, M.; Farag, A.; Johan, H.; Li, B.; Lu, Y.; Tatsuma, A. (The Eurographics Association, 2013)
      The SHREC'13 Track: Retrieval of Objects Captured with Low-Cost Depth-Sensing Cameras is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as the ones ...

    • Geometric Histograms of 3D Keypoints for Face Identification with Missing Parts 

      Berretti, Stefano; Werghi, Naoufel; Bimbo, Alberto del; Pala, Pietro (The Eurographics Association, 2013)
      In this work, an original solution to 3D face identification is proposed, which supports recognition also in the case of probes with missing parts. Distinguishing traits of the face are captured by first extracting 3D ...

    • SHREC'13 Track: Retrieval on Textured 3D Models 

      Cerri, A.; Biasotti, S.; Abdelrahman, M.; Angulo, J.; Berger, K.; Chevallier, L.; El-Melegy, M.; Farag, A.; Lefebvre, F.; Giachetti, A.; Guermoud, H.; Liu, Y.-J.; Velasco-Forero, S.; Vigouroux, JR.; Xu, C.-X.; Zhang, J.-B. (The Eurographics Association, 2013)
      This contribution reports the results of the SHREC 2013 track: Retrieval on Textured 3D Models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or ...

    • Sketch-Based 3D Model Retrieval by Viewpoint Entropy-Based Adaptive View Clustering 

      Li, Bo; Lu, Yijuan; Johan, Henry (The Eurographics Association, 2013)
      Searching for relevant 3D models based on hand-drawn sketches is both intuitive and important for many applications, such as sketch-based 3D modeling and recognition.We propose a sketch-based 3D model retrieval algorithm ...

    • SymPan: 3D Model Pose Normalization via Panoramic Views and Reflective Symmetry 

      Sfikas, Konstantinos; Pratikakis, Ioannis; Theoharis, Theoharis (The Eurographics Association, 2013)
      A novel pose normalization method, based on panoramic views and reflective symmetry, is presented. Initially, the surface of a 3D model is projected onto the lateral surface of a circumscribed cylinder, aligned with the ...

    • Learning Kernels on Extended Reeb Graphs for 3D Shape Classification and Retrieval 

      Barra, Vincent; Biasotti, Silvia (The Eurographics Association, 2013)
      This paper addresses 3D shape classification and retrieval in terms of supervised selection of the most significant features in a space of attributed graphs encoding different shape characteristics. For this purpose, 3D ...

    • 3D Human Video Retrieval: from Pose to Motion Matching 

      Slama, Rim; Wannous, Hazem; Daoudi, Mohamed (The Eurographics Association, 2013)
      3D video retrieval is a challenging problem lying at the heart of many primary research areas in computer graphics and computer vision applications. In this paper, we present a new 3D human shape matching and motion retrieval ...

    • Compact Vectors of Locally Aggregated Tensors for 3D Shape Retrieval 

      Tabia, Hedi; Picard, David; Laga, Hamid; Gosselin, Philippe-Henri (The Eurographics Association, 2013)
      During the last decade, a significant attention has been paid, by the computer vision and the computer graphics communities, to three dimensional (3D) object retrieval. Shape retrieval methods can be divided into three ...

    • Local Signature Quantization by Sparse Coding 

      Boscaini, Davide; Castellani, Umberto (The Eurographics Association, 2013)
      In 3D object retrieval it is very important to define reliable shape descriptors, which compactly characterize geometric properties of the underlying surface. To this aim two main approaches are considered: global, and ...