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

Now showing items 141-160 of 200

    • SHREC'09 Track: Querying with Partial Models 

      Dutagaci, H.; Godil, A.; Axenopoulos, A.; Daras, P.; Furuya, T.; Ohbuchi, R. (The Eurographics Association, 2009)
      The objective of the SHREC'09 Querying with Partial Models is to compare the performances of algorithms that accept a range image as the query and retrieve relevant 3D models from a database. The use of a range scan as the ...

    • A 3D Shape Benchmark for Retrieval and Automatic Classification of Architectural Data 

      Wessel, Raoul; Blümel, Ina; Klein, Reinhard (The Eurographics Association, 2009)
      When drafting new buildings, architects make intensive use of existing 3D models including building elements, furnishing, and environment elements. These models are either directly included into the draft or serve as a ...

    • SHREC 2009 - Shape Retrieval Contest 

      Veltkamp, Remco. C.; Haar, Frank B. ter (The Eurographics Association, 2009)
      The general objective of the 3D Shape Retrieval Contest (see http://www.aimatshape.net/event/ SHREC) is to evaluate the effectiveness of 3D-shape retrieval algorithms. After three years of success, the contest is now ...

    • Multilevel Relevance Feedback for 3D Shape Retrieval 

      Giorgi, Daniela; Frosini, Patrizio; Spagnuolo, Michela; Falcidieno, Bianca (The Eurographics Association, 2009)
      Relevance feedback techniques are expected to play an important role in 3D search engines, as they help to bridge the semantic gap between the user and the system: similarity is a cognitive process, depending on the observer. ...

    • Retrieval of 3D Articulated Objects Using a Graph-based Representation 

      Agathos, Alexander; Pratikakis, Ioannis; Papadakis, Panagiotis; Perantonis, Stavros; Azariadis, Philip; Sapidis, Nickolas S. (The Eurographics Association, 2009)
      Most of the approaches which address the problem of 3D object retrieval, use global descriptors of the objects which fail to consistently compensate for the intra-class variability of articulated objects. In this paper, a ...

    • Automatic 3D Facial Region Retrieval from Multi-pose Facial Datasets 

      Perakis, Panagiotis; Theoharis, Theoharis; Passalis, Georgios; Kakadiaris, Ioannis A. (The Eurographics Association, 2009)
      The availability of 3D facial datasets is rapidly growing, mainly as a result of medical and biometric applications. These applications often require the retrieval of specific facial areas (such as the nasal region). The ...

    • SkelTre - Fast Skeletonisation for Imperfect Point Cloud Data of Botanic Trees 

      Bucksch, Alexander; Lindenbergh, Roderik C.; Menenti, M. (The Eurographics Association, 2009)
      Terrestrial laser scanners capture 3D geometry as a point cloud. This paper reports on a new algorithm aiming at the skeletonisation of a laser scanner point cloud, representing a botanical tree without leafs. The resulting ...

    • 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 ...

    • Partial Matching for Real Textured 3D Objects using Color Cubic Higher-order Local Auto-Correlation Features 

      Kanezaki, Asako; Harada, T.; Kuniyoshi, Y. (The Eurographics Association, 2009)
      In recent years the need for the retrieval of real 3D objects is growing more and more. However, if the 3D models are obtained without the use of special equipment such as engineered environments or multi-camera systems, ...

    • 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 ...

    • 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: 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: 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: 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: 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 ...

    • 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 ...

    • Fast Human Classification of 3D Object Benchmarks 

      Jagadeesan, A. P.; Wenzel, J.; Corney, Jonathan R.; Yan, X.; Sherlock, A.; Torres-Sanchez, C.; Regli, William (The Eurographics Association, 2010)
      Although a significant number of benchmark data sets for 3D object based retrieval systems have been proposed over the last decade their value is dependent on a robust classification of their content being available. Ideally ...

    • Person Independent 3D Facial Expression Recognition by a Selected Ensemble of SIFT Descriptors 

      Berretti, Stefano; Amor, Boulbaba Ben; Daoudi, Mohamed; Bimbo, Alberto Del (The Eurographics Association, 2010)
      Facial expression recognition has been addressed mainly working on 2D images or videos. In this paper, the problem of person-independent facial expression recognition is addressed on 3D shapes. To this end, an original ...