Browsing 3DOR 12 by Issue Date

Now showing items 1-19 of 19

    • Real-time Expression Recognition from Dynamic Sequences of 3D Facial Scans 

      Berretti, Stefano; Bimbo, Alberto del; Pala, Pietro (The Eurographics Association, 2012)
      In this paper, we address the problem of person-independent facial expression recognition in dynamic sequences of 3D face scans. To this end, an original approach is proposed that relies on automatically extracting a set ...

    • SHREC'12 Track: 3D Mesh Segmentation 

      Lavoué, G.; Vandeborre, J-P.; Benhabiles, H.; Daoudi, M.; Huebner, K.; Mortara, M.; Spagnuolo, M. (The Eurographics Association, 2012)
      3D mesh segmentation is a fundamental process in many applications such as shape retrieval, compression, deformation, etc. The objective of this track is to evaluate the performance of recent segmentation methods using a ...

    • 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 ...

    • SHREC'12 Track: Generic 3D Shape Retrieval 

      Li, B.; Godil, A.; Aono, M.; Bai, X.; Furuya, T.; Li, L.; López-Sastre, R.; Johan, H.; Ohbuchi, R.; Redondo-Cabrera, C.; Tatsuma, A.; Yanagimachi, T.; Zhang, S. (The Eurographics Association, 2012)
      Generic 3D shape retrieval is a fundamental research area in the field of content-based 3D model retrieval. The aim of this track is to measure and compare the performance of generic 3D shape retrieval methods implemented ...

    • Intrinsic Local Symmetries: A Computational Framework 

      Grushko, Carmi; Raviv, Dan; Kimmel, Ron (The Eurographics Association, 2012)
      We present a computational framework for finding metric-preserving tangent vector fields on surfaces, also known as Killing Vector Fields. Flows of such vector fields define self-isometries of the surface, or in other ...

    • SHREC'12 Track: Sketch-Based 3D Shape Retrieval 

      Li, B.; Schreck, Tobias; Godil, A.; Alexa, M.; Boubekeur, T.; Bustos, B.; Chen, J.; Eitz, M.; Furuya, T.; Hildebrand, K.; Huang, S.; Johan, H.; Kuijper, A.; Ohbuchi, R.; Richter, R.; Saavedra, J. M.; Scherer, M.; Yanagimachi, T.; Yoon, G. J.; Yoon, S. M. (The Eurographics Association, 2012)
      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 ...

    • Similarity Based Object Retrieval of Composite Neuronal Structures 

      Schulze, Florian; Trapp, Martin; Bühler, Katja; Lui, Tianxiao; Dickson, Barry (The Eurographics Association, 2012)
      Circuit Neuroscience tries to solve one of the most challenging questions in biology: How does the brain work? An important step towards an answer to this question is to gather detailed knowledge about the neuronal circuits ...

    • 3D Object Retrieval via Range Image Queries based on SIFT descriptors on Panoramic Views 

      Sfikas, Konstantinos; Pratikakis, Ioannis; Theoharis, Theoharis (The Eurographics Association, 2012)
      The increasing availability of low-cost 3D scanners is resulting in the creation of large repositories of 3D models. Low-cost 3D range scanners in particular can also be used to capture partial views of real 3D objects ...

    • Parallelized Algorithms for Rigid Surface Alignment on GPU 

      Zabatani, Aviad; Bronstein, Alex M. (The Eurographics Association, 2012)
      Alignment and registration of rigid surfaces is a fundamental computational geometric problem with applications ranging from medical imaging, automated target recognition, and robot navigation just to mention a few. The ...

    • Kinematic Skeleton Extraction Based on Motion Boundaries for 3D Dynamic Meshes 

      Benhabiles, Halim; Lavoué, Guillaume; Vandeborre, Jean-Philippe; Daoudi, Mohamed (The Eurographics Association, 2012)
      This paper presents a precise kinematic skeleton extraction method for 3D dynamic meshes. Contrary to previous methods, our method is based on the computation of motion boundaries instead of detecting object parts characterized ...

    • Spectral Analysis Driven Sparse Matching of 3D Shapes 

      Darom, Tal; Keller, Yosi (The Eurographics Association, 2012)
      In this work we present an approach for matching three-dimensional mesh objects related by isometric transfor- mations and scaling. We propose to utilize the Scale invariant Scale-DoG detector and Local Depth SIFT mesh ...

    • Key-component Detection on 3D Meshes using Local Features 

      Sipiran, Ivan; Bustos, Benjamin (The Eurographics Association, 2012)
      In this paper, we present a method to detect stable components on 3D meshes. A component is a region on the mesh which contains discriminative local features. Our goal is to represent a 3D mesh with a set of regions, which ...

    • Automated Contextual Annotation of B-Rep Cad Mechanical Components Deriving Technology and Symmetry Information to Support Partial Retrieval 

      Li, K.; Shahwan, A.; Trlin, M.; Foucault, G.; Léon, Jean-Claude (The Eurographics Association, 2012)
      Mechanical components are often related to technological meaning: it is a screw, a ball bearing, . . . Technological meaning relates to the notion of function which, in turn, refers to the environment of a component. Here, ...

    • Effective Shapes Generation for Bayesian CAD Model Reconstruction 

      Bey, Aurelien; Chaine, Raphaelle; Marc, Raphael; Thibault, Guillaume (The Eurographics Association, 2012)
      We address the reconstruction of CAD models from 3D point clouds, assuming that an a priori CAD model, roughly similar to the scene to reconstruct, is given. The problem can be solved using a Bayesian approach which states ...

    • SHREC'12 Track: Stability on Abstract Shapes 

      Biasotti, S.; Bai, X.; Bustos, B.; Cerri, A.; Giorgi, D.; Li, L.; Mortara, M.; Sipiran, I.; Zhang, S.; Spagnuolo, M. (The Eurographics Association, 2012)
      This contribution reports the results of the SHREC 2012 track: Stability on Abstract Shapes. This track saw six registrations of which only three participants effectively sent the results of their runs.

    • Affine-Invariant Photometric Heat Kernel Signatures 

      Kovnatsky, Artiom; Bronstein, Michael M.; Bronstein, Alexander M.; Raviv, Dan; Kimmel, Ron (The Eurographics Association, 2012)
      In this paper, we explore the use of the diffusion geometry framework for the fusion of geometric and photometric information in local shape descriptors. Our construction is based on the definition of a modified metric, ...

    • Local Goemetrical Feature with Spatial Context for Shape-based 3D Model Retrieval 

      Kawamura, Shun; Usui, Kazuya; Furuya, Takahiko; Ohbuchi, Ryutarou (The Eurographics Association, 2012)
      With recent popularity of 3D models, retrieval and recognition of 3D models based on their shape has become an important subject of study. This paper proposes a 3D model retrieval algorithm that is invariant to global ...

    • Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation 

      Saavedra, Jose M.; Bustos, Benjamin; Schreck, Tobias; Yoon, Sang Min; Scherer, Maximiliam (The Eurographics Association, 2012)
      Since 3D models are becoming more popular, the need for effective methods capable of retrieving 3D models is becoming crucial. Current methods require an example 3D model as query. However, in many cases, such a query is ...

    • Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization 

      Rosman, Guy; Bronstein, Alexander M.; Bronstein, Michael M.; Kimmel, Ron (The Eurographics Association, 2012)
      Motion segmentation for articulated objects is an important topic of research. Yet such a segmentation should be as free as possible from underlying assumptions so as to fit general scenes and objects. In this paper we ...