Now showing items 8-15 of 15

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