Browsing 3DOR 10 by Title

Now showing items 6-16 of 16

    • 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 ...

    • 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 ...

    • 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 ...

    • SHREC'10 Track: Correspondence Finding 

      Bronstein, A. M.; Bronstein, M. M.; Castellani, U.; Dubrovina, A.; Guibas, L. J.; Horaud, R. P.; Kimmel, R.; Knossow, D.; Lavante, E. von; Mateus, D.; Ovsjanikov, M.; Sharma, A. (The Eurographics Association, 2010)
      The SHREC'10 correspondence finding benchmark simulates a one-to-one shape matching scenario, in which one of the shapes undergoes multiple modifications and transformations. The benchmark allows evaluating how correspondence ...

    • SHREC'10 Track: Feature Detection and Description 

      Bronstein, A. M.; Bronstein, M. M.; Bustos, B.; Castellani, U.; Crisani, M.; Falcidieno, B.; Guibas, L. J.; Kokkinos, I.; Murino, V.; Ovsjanikov, M.; Patané, G.; Sipiran, I.; Spagnuolo, M.; Sun, J. (The Eurographics Association, 2010)
      Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. The SHREC'10 feature detection and description ...

    • SHREC'10 Track: Generic 3D Warehouse 

      Vanamali, T. P.; Godil, A.; Dutagaci, H.; Furuya, T.; Lian, Z.; Ohbuchi, R. (The Eurographics Association, 2010)
      In this paper we present the results of the 3D Shape Retrieval Contest 2010 (SHREC'10) track Generic 3D Warehouse. The aim of this track was to evaluate the performances of various 3D shape retrieval algorithms on a large ...

    • SHREC'10 Track: Large Scale Retrieval 

      Veltkamp, Remco C.; Giezeman, Geert-Jan; Bast, Hannah; Baumbach, Thomas; Furuya, Takahiko; Giesen, Joachim; Godil, Afzal; Lian, Zhouhui; Ohbuchi, Ryutarou; Saleem, Waqar (The Eurographics Association, 2010)
      This paper is a report on the 3D Shape Retrieval Constest 2010 (SHREC'10) track on large scale retrieval. This benchmark allows evaluating how wel retrieval algorithms scale up to large collections of 3D models. The task ...

    • SHREC'10 Track: Non-rigid 3D Shape Retrieval 

      Lian, Z.; Godil, A.; Fabry, T.; Furuya, T.; Hermans, J.; Ohbuchi, R.; Shu, C.; Smeets, D.; Suetens, P.; Vandermeulen, D.; Wuhrer, S. (The Eurographics Association, 2010)
      Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the 3D Shape Retrieval Contest 2010 (SHREC'10) track on non-rigid 3D shape retrieval is to evaluate and compare ...

    • SHREC'10 Track: Protein Model Classification 

      Mavridis, L.; Venkatraman, V.; Ritchie, D. W.; Morikawa, N.; Andonov, R.; Cornu, A.; Malod-Dognin, N.; Nicolas, J.; Temerinac-Ott, M.; Reisert, M.; Burkhardt, H.; Axenopoulos, A.; Daras, P. (The Eurographics Association, 2010)
      This paper presents the results of the 3D Shape Retrieval Contest 2010 (SHREC'10) track Protein Models Classification. The aim of this track is to evaluate how well 3D shape recognition algorithms can classify protein ...

    • SHREC'10 Track: Range Scan Retrieval 

      Dutagaci, H.; Godil, A.; Cheung, C. P.; Furuya, T.; Hillenbrand, U.; Ohbuchi, R. (The Eurographics Association, 2010)
      The 3D Shape Retrieval Contest 2010 (SHREC'10) on range scan retrieval aims at comparing algorithms that match a range scan to complete 3D models in a target database. The queries are range scans of real objects, and the ...

    • SHREC'10 Track: Robust Shape Retrieval 

      Bronstein, A. M.; Bronstein, M. M.; Castellani, U.; Falcidieno, B.; Fusiello, A.; Godil, A.; Guibas, L. J.; Kokkinos, I.; Lian, Z.; Ovsjanikov, M.; Patané, G.; Spagnuolo, M.; Toldo, R. (The Eurographics Association, 2010)
      The 3D Shape Retrieval Contest 2010 (SHREC'10) robust shape retrieval benchmark simulates a retrieval scenario, in which the queries include multiple modifications and transformations of the same shape. The benchmark allows ...