3DOR 11

Eurographics DL Repository

3DOR 11

 

Eurographics Workshop on 3D Object Retrieval 2011


3D Recognition
Generative Object Definition and Semantic Recognition
[full paper] [meta data]
Torsten Ullrich and Dieter W. Fellner

Real-Time 3D Face Recognition using Line Projection and Mesh Sampling
[full paper] [meta data]
Marcos A. Rodrigues and A. Robinson

Non-rigid Shape Matching and Retrieval
Refining Shape Correspondence for Similar Objects Using Strain
[full paper] [meta data]
Ly Phan, Andrew K. Knutsen, Philip V. Bayly, Sandra Rugonyi, and Cindy Grimm

ConTopo: Non-Rigid 3D Object Retrieval using Topological Information guided by Conformal Factors
[full paper] [meta data]
Konstantinos Sfikas, Ioannis Pratikakis, and Theoharis Theoharis

Heat Diffusion Approach for Feature-based Body Scans Analysis
[full paper] [meta data]
Christian Lovato, C. Zancanaro, Umberto Castellani, and Andrea Giachetti

Local Shape Descriptors
Bag of Words and Local Spectral Descriptor for 3D Partial Shape Retrieval
[full paper] [meta data]
Guillaume Lavoué

Local Shape Descriptors, a Survey and Evaluation
[full paper] [meta data]
Paul Heider, Alain Pierre-Pierre, Ruosi Li, and Cindy Grimm

Evaluation of 3D Interest Point Detection Techniques
[full paper] [meta data]
Helin Dutagaci, Chun Pan Cheung, and Afzal Godil

Shape Retrieval Evaluation Contest (SHREC 2011)
SHREC '11 Track: Generic Shape Retrieval
[full paper] [meta data]
H. Dutagaci, A. Godil, P. Daras, A. Axenopoulos, G. Litos, S. Manolopoulou, K. Goto, T. Yanagimachi, Y. Kurita, S. Kawamura, T. Furuya, and R. Ohbuchi

SHREC '11: Robust Feature Detection and Description Benchmark
[full paper] [meta data]
E. Boyer, A. M. Bronstein, M. M. Bronstein, B. Bustos, T. Darom, R. Horaud, I. Hotz, Y. Keller, J. Keustermans, A. Kovnatsky, R. Litmany, J. Reininghaus, I. Sipiran, D. Smeets, P. Suetens, D. Vandermeulen, A. Zaharescu, and V. Zobel

SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes
[full paper] [meta data]
Z. Lian, A. Godil, B. Bustos, M. Daoudi, J. Hermans, S. Kawamura, Y. Kurita, G. Lavoué, H. V. Nguyen, R. Ohbuchi, Y. Ohkita, Y. Ohishi, F. Porikli, M. Reuter, I. Sipiran, D. Smeets, P. Suetens, H. Tabia, and D. Vandermeulen

SHREC '11 Track: 3D Face Models Retrieval
[full paper] [meta data]
R. C. Veltkamp, S. van Jole, H. Drira, B. Ben Amor, M. Daoudi, H. Li, L. Chen, P. Claes, D. Smeets, J. Hermans, D. Vandermeulen, and P. Suetens

Short Papers
A GPU Based High-efficient and Accurate Optimal Pose Alignment Approach of 3D Objects
[full paper] [meta data]
Qian Zhang and Jinyuan Jia

Selecting 3D Curves on the Nasal Surface using AdaBoost for Person Authentication
[full paper] [meta data]
Lahoucine Ballihi, B. Ben Amor, M. Daoudi, A. Srivastava, and D. Aboutajdine

Human Activity Modeling on Shape Manifold
[full paper] [meta data]
Sheng Yi, Hamid Krim, and L. K. Norris

Feature Template based 3D Model Retrieval
[full paper] [meta data]
Xiang Pan, QiHua Chen, and Zhi Liu

Partial Match of 3D Faces using Facial Curves between SIFT Keypoints
[full paper] [meta data]
Stefano Berretti, Alberto Del Bimbo, and Pietro Pala

A Framework For 3D Object Retrieval Algorithm Analysis
[full paper] [meta data ]
Tiago Lourenço, Alfredo Ferreira, and Manuel J. Fonseca

Recent Submissions

  • Yi, Sheng; Krim, Hamid; Norris, L. K. (The Eurographics Association, 2011)
    In this paper we propose a stochastic modeling of human activity on shape manifold. From a video sequence, human activity are extracted as a sequence of shape. Such sequence is considered as one realization of a random ...
  • Berretti, Stefano; Bimbo, Alberto Del; Pala, Pietro (The Eurographics Association, 2011)
    In this work, we propose and experiment an original solution to 3D face recognition which supports partial matching of facial scans as occurs in the case of missing parts and occlusions. In the proposed approach, distinguishing ...
  • Pan, Xiang; Chen, QiHua; Liu, Zhi (The Eurographics Association, 2011)
    3D model retrieval has attracted more and more research interests. Lots of shape descriptors have been proposed till now. But during the process of constructing these shape descriptors, feature correlation among models is ...
  • Lourenço, Tiago; Ferreira, Alfredo; Fonseca, Manuel J. (The Eurographics Association, 2011)
    The increasing number of three-dimensional objects available on digital format triggered a great interest in research in this domain. Finding efficient methods of analysis, comparison and retrieval of 3D models has become ...
  • Veltkamp, R. C.; Jole, S. van; Drira, H.; Amor, B. Ben; Daoudi, M.; Li, H.; Chen, L.; Claes, P.; Smeets, D.; Hermans, J.; Vandermeulen, D.; Suetens, P. (The Eurographics Association, 2011)
    In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC'11) track on face model retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate ...
  • Ballihi, Lahoucine; Amor, B. Ben; Daoudi, M.; Srivastava, A.; Aboutajdine, D. (The Eurographics Association, 2011)
    The main contribution of this paper is the use of an AdaBoost-based learning algorithm which builds a strong classifier from a set of weak classifiers associated with level curves in the nasal region of 3D faces. Its main ...
  • Zhang, Qian; Jia, Jinyuan (The Eurographics Association, 2011)
    In this paper we present a new method for alignment of 3D objects. This approach is based on the exhaustive optimization search in the 3D space using GPU based genetic algorithm. The descriptor of 3D object used as the ...
  • Lian, Z.; Godil, A.; Bustos, B.; Daoudi, M.; Hermans, J.; Kawamura, S.; Kurita, Y.; Lavoué, G.; Nguyen, H. V.; Ohbuchi, R.; Ohkita, Y.; Ohishi, Y.; Porikli, F.; Reuter, M.; Sipiran, I.; Smeets, D.; Suetens, P.; Tabia, H.; Vandermeulen, D. (The Eurographics Association, 2011)
    Non-rigid 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 non-rigid 3D shape retrieval methods implemented ...
  • Dutagaci, Helin; Cheung, Chun Pan; Godil, Afzal (The Eurographics Association, 2011)
    In this paper, we compare the results of five 3D interest point detection techniques to the interest points marked by human subjects. This comparison is used to quantitatively evaluate the interest point detection algorithms. ...
  • Dutagaci, H.; Godil, A.; Daras, P.; Axenopoulos, A.; Litos, G.; Manolopoulou, S.; Goto, K.; Yanagimachi, T.; Kurita, Y.; Kawamura, S.; Furuya, T.; Ohbuchi, R. (The Eurographics Association, 2011)
    In this paper we present the results of the 3D Shape Retrieval Contest 2011 (SHREC'11) track on generic shape retrieval. The aim of this track is to evaluate the performance of 3D shape retrieval algorithms that can operate ...
  • Boyer, E.; Bronstein, A. M.; Bronstein, M. M.; Bustos, B.; Darom, T.; Horaud, R.; Hotz, I.; Keller, Y.; Keustermans, J.; Kovnatsky, A.; Litmany, R.; Reininghaus, J.; Sipiran, I.; Smeets, D.; Suetens, P.; Vandermeulen, D.; Zaharescu, A.; Zobel, V. (The Eurographics Association, 2011)
    Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description ...
  • Lovato, Christian; Zancanaro, C.; Castellani, Umberto; Giachetti, Andrea (The Eurographics Association, 2011)
    In this paper we propose the use of spectral shape analysis techniques for selection and classification of anthro- pometric points extracted from human-body scans. Few feature points are detected by exploiting the capability ...
  • Heider, Paul; Pierre-Pierre, Alain; Li, Ruosi; Grimm, Cindy (The Eurographics Association, 2011)
    Local shape descriptors can be used for a variety of tasks, from registration to comparison to shape analysis and retrieval. There have been a variety of local shape descriptors developed for these tasks, which have been ...
  • Lavoué, Guillaume (The Eurographics Association, 2011)
    This paper presents a 3D shape retrieval algorithm based on the Bag of Words (BoW) paradigm. For a given 3D shape, the proposed approach considers a set of feature points uniformly sampled on the surface and associated ...
  • Phan, Ly; Knutsen, Andrew K.; Bayly, Philip V.; Rugonyi, Sandra; Grimm, Cindy (The Eurographics Association, 2011)
    Several applications - for example, study of biological tissue movement and organ growth - require shape correspondence with a physical basis, especially for shapes or regions lacking distinctive features. For this purpose, ...
  • Sfikas, Konstantinos; Pratikakis, Ioannis; Theoharis, Theoharis (The Eurographics Association, 2011)
    Combining the properties of conformal geometry and graph-based topological information for 3D object retrieval, a non-rigid 3D object descriptor is proposed, which is both robust and efficient in terms of retrieval accuracy ...
  • Rodrigues, Marcos A.; Robinson, A. (The Eurographics Association, 2011)
    The main contribution of this paper is to present a novel method for automatic 3D face recognition based on sampling a 3D mesh structure in the presence of noise. A structured light method using line projection is employed ...
  • Ullrich, Torsten; Fellner, Dieter W. (The Eurographics Association, 2011)
    ''What is the difference between a cup and a door?'' These kinds of questions have to be answered in the context of digital libraries. This semantic information, which describes an object on a high, abstract level, is ...

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