Position Papers
Shape Retrieval and 3D Gestural Interaction
Andrea Giachetti, Fabio Marco Caputo, Alessandro Carcangiu, Riccardo Scateni, and Lucio Davide Spano
Towards an Observer-oriented Theory of Shape Comparison
Patrizio Frosini
3D Objects Exploration: Guidelines for Future Research
Silvia Biasotti, Bianca Falcidieno, Daniela Giorgi, and Michela Spagnuolo
Full Papers
A Descriptor for Voxel Shapes Based on the Skeleton Cut Space
Cong Feng, Andrei C. Jalba, and Alexandru C. Telea
An Experimental Shape Matching Approach for Protein Docking
Francisco Fernandes and Alfredo Ferreira
An Edit Distance for Reeb Graphs
Ulrich Bauer, Barbara Di Fabio, and Claudia Landi
An Evaluation of Local Feature Encodings for Shape Retrieval
Flora Ponjou Tasse, Jiri Kosinka, and Neil A. Dodgson
SHREC'16 Tracks
Retrieval of Human Subjects from Depth Sensor Data
Andrea Giachetti, Francesco Fornasa, Federico Parezzan, Alessandro Saletti, Leonardo Zambaldo, Luisa Zanini, Felix Achilles, Alexandru-Eugen Ichim, Federico Tombari, Nassir Navab, and Santiago Velasco-Forero
3D Sketch-Based 3D Shape Retrieval
Bo Li, Yijuan Lu, Fuqing Duan, Shuilong Dong, Yachun Fan, Lu Qian, Hamid Laga, Haisheng Li, Yuxiang Li, Peng Liu, Maks Ovsjanikov, Hedi Tabia, Yuxiang Ye, Huanpu Yin, and Ziyu Xue
Matching of Deformable Shapes with Topological Noise
Zorah Lähner, Emanuele Rodolà, Michael M. Bronstein, Daniel Cremers, Oliver Burghard, Luca Cosmo, Alexander Dieckmann, Reinhard Klein, and Yusuf Sahillioğlu
Partial Matching of Deformable Shapes
Luca Cosmo, Emanuele Rodolà, Michael M. Bronstein, Andrea Torsello, Daniel Cremers, and Yusuf Sahillioğlu
Shape Retrieval of Low-Cost RGB-D Captures
Pedro B. Pascoal, Pedro Proença, Filipe Gaspar, Miguel Sales Dias, Alfredo Ferreira, Atsushi Tatsuma, Masaki Aono, K. Berker Logoglu, Sinan Kalkan, Alptekin Temizel, Bo Li, Henry Johan, Yijuan Lu, Viktor Seib, Norman Link, and Dietrich Paulus
Partial Shape Queries for 3D Object Retrieval
Ioannis Pratikakis, Michalis A. Savelonas, Fotis Arnaoutoglou, George Ioannakis, Anestis Koutsoudis, Theoharis Theoharis, Minh-Triet Tran, Vinh-Tiep Nguyen, V.-K. Pham, Hai-Dang Nguyen, Hoang-An Le, Ba-Huu Tran, Huu-Quan To, Minh-Bao Truong, Thuyen Van Phan, Minh-Duc Nguyen, Thanh-An Than, Cu-Khoi-Nguyen Mac, Minh N. Do, Anh-Duc Duong, Takahiko Furuya, Ryutarou Ohbuchi, Masaki Aono, Shoki Tashiro, David Pickup, Xianfang Sun, Paul L. Rosin, and Ralph R. Martin
Large-Scale 3D Shape Retrieval from ShapeNet Core55
Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, and Zhichao Zhou
3D Object Retrieval with Multimodal Views
Yue Gao, Weizhi Nie, Anan Liu, Yuting Su, Qionghai Dai, Le An, Fuhai Chen, Liujuan Cao, Shuilong Dong, Yu De, Zan Gao, Jiayun Hao, Rongrong Ji, Haisheng Li, Mingxia Liu, Lili Pan, Yu Qiu, Liwei Wei, Zhao Wang, Hongjiang Wei, Yuyao Zhang, Jun Zhang, Yang Zhang, and Yali Zheng

Recent Submissions

  • Matching of Deformable Shapes with Topological Noise 

    Lähner, Z.; Rodolà, E.; Bronstein, M. M.; Cremers, D.; Burghard, O.; Cosmo, L.; Dieckmann, A.; Klein, R.; Sahillioglu, Y. (The Eurographics Association, 2016)
    A particularly challenging setting of the shape matching problem arises when the shapes being matched have topological artifacts due to the coalescence of spatially close surface regions - a scenario that frequently occurs ...
  • Large-Scale 3D Shape Retrieval from ShapeNet Core55 

    Savva, M.; Yu, F.; Su, Hao; Aono, M.; Chen, B.; Cohen-Or, D.; Deng, W.; Su, Hang; Bai, S.; Bai, X.; Fish, N.; Han, J.; Kalogerakis, E.; Learned-Miller, E. G.; Li, Y.; Liao, M.; Maji, S.; Tatsuma, A.; Wang, Y.; Zhang, N.; Zhou, Z. (The Eurographics Association, 2016)
    With the advent of commodity 3D capturing devices and better 3D modeling tools, 3D shape content is becoming increasingly prevalent. Therefore, the need for shape retrieval algorithms to handle large-scale shape repositories ...
  • Shape Retrieval of Low-Cost RGB-D Captures 

    Pascoal, Pedro B.; Proença, Pedro; Gaspar, Filipe; Dias, Miguel Sales; Ferreira, Alfredo; Tatsuma, Atsushi; Aono, Masaki; Logoglu, K. Berker; Kalkan, Sinan; Temizel, Alptekin; Li, Bo; Johan, Henry; Lu, Yijuan; Seib, Viktor; Link, Norman; Paulus, Dietrich (The Eurographics Association, 2016)
    RGB-D cameras allow to capture digital representations of objects in an easy and inexpensive way. Such technology enables ordinary users to capture everyday object into digital 3D representations. In this context, we present ...
  • Partial Shape Queries for 3D Object Retrieval 

    Pratikakis, I.; Savelonas, M.A.; Arnaoutoglou, F.; Ioannakis, G.; Koutsoudis, A.; Theoharis, T.; Tran, M.-T.; Nguyen, V.-T.; Pham, V.-K.; Nguyen, H.-D.; Le, H.-A.; Tran, B.-H.; To, Q.H.; Truong, M.-B.; Phan, T.V.; Nguyen, M.-D.; Than, T.-A.; Mac, K.-N.C.; Do, M.N.; Duong, A-D.; Furuya, T.; Ohbuchi, R.; Aono, M.; Tashiro, S.; Pickup, D.; Sun, X.; Rosin, P.L.; Martin, R.R. (The Eurographics Association, 2016)
    Despite numerous recent efforts, 3D object retrieval based on partial shape queries remains a challenging problem, far from being solved. The problem can be defined as: given a partial view of a shape as query, retrieve ...
  • 3D Object Retrieval with Multimodal Views 

    Gao, Yue; Nie, Weizhi; Liu, Anan; Su, Yuting; Dai, Qionghai; An, Le; Chen, Fuhai; Cao, Liujuan; Dong, Shuilong; De, Yu; Gao, Zan; Hao, Jiayun; Ji, Rongrong; Li, Haisheng; Liu, Mingxia; Pan, Lili; Qiu, Yu; Wei, Liwei; Wang, Zhao; Wei, Hongjiang; Zhang, Yuyao; Zhang, Jun; Zhang, Yang; Zheng, Yali (The Eurographics Association, 2016)
    This paper reports the results of the SHREC'16 track: 3D Object Retrieval with Multimodal Views, whose goal is to evaluate the performance of retrieval algorithms when multimodal views are employed for 3D object representation. ...
  • Partial Matching of Deformable Shapes 

    Cosmo, L.; Rodolà, E.; Bronstein, M. M.; Torsello, A.; Cremers, D.; Sahillioglu, Y. (The Eurographics Association, 2016)
    Matching deformable 3D shapes under partiality transformations is a challenging problem that has received limited focus in the computer vision and graphics communities. With this benchmark, we explore and thoroughly ...
  • Retrieval of Human Subjects from Depth Sensor Data 

    Giachetti, A.; Fornasa, F.; Parezzan, F.; Saletti, A.; Zambaldo, L.; Zanini, L.; Achilles, F.; Ichim, A. E.; Tombari, F.; Navab, N.; Velasco-Forero, S. (The Eurographics Association, 2016)
    In this paper we report the results of the SHREC 2016 contest on "Retrieval of human subjects from depth sensor data". The proposed task was created in order to verify the possibility of retrieving models of query human ...
  • 3D Sketch-Based 3D Shape Retrieval 

    Li, Bo; Lu, Yijuan; Duan, Fuqing; Dong, Shuilong; Fan, Yachun; Qian, Lu; Laga, Hamid; Li, Haisheng; Li, Yuxiang; Liu, Peng; Ovsjanikov, Maks; Tabia, Hedi; Ye, Yuxiang; Yin, Huanpu; Xue, Ziyu (The Eurographics Association, 2016)
    Sketch-based 3D shape retrieval has unique representation availability of the queries and vast applications. Therefore, it has received more and more attentions in the research community of content-based 3D object retrieval. ...
  • An Edit Distance for Reeb Graphs 

    Bauer, Ulrich; Fabio, Barbara Di; Landi, Claudia (The Eurographics Association, 2016)
    We consider the problem of assessing the similarity of 3D shapes using Reeb graphs from the standpoint of robustness under perturbations. For this purpose, 3D objects are viewed as spaces endowed with real-valued functions, ...
  • An Experimental Shape Matching Approach for Protein Docking 

    Fernandes, Francisco; Ferreira, Alfredo (The Eurographics Association, 2016)
    Proteins play a vital role in biological processes, with their function being largely determined by their structure. It is important to know what a protein binds, where it binds, how it binds, and what is its final ...
  • An Evaluation of Local Feature Encodings for Shape Retrieval 

    Tasse, Flora Ponjou; Kosinka, Jiri; Dodgson, Neil A. (The Eurographics Association, 2016)
    Local features are successfully used in 3D shape retrieval by encoding features descriptors into global shape signatures. Previous 3D retrieval systems use different encoding methods, such as histogram encoding and Fisher ...
  • A Descriptor for Voxel Shapes Based on the Skeleton Cut Space 

    Feng, Cong; Jalba, Andrei C.; Telea, Alexandru C. (The Eurographics Association, 2016)
    Two-dimensional medial axes and three-dimensional curve skeletons have been long used for shape retrieval tasks. In contrast, and despite their ability to fully capture shape geometry and topology, three-dimensional surface ...
  • 3DOR 2016: Frontmatter 

    Alfredo Ferreira; Andrea Giachetti; Daniela Giorgi (Eurographics Association, 2016)
  • 3D Objects Exploration: Guidelines for Future Research 

    Biasotti, Silvia; Falcidieno, Bianca; Giorgi, Daniela; Spagnuolo, Michela (The Eurographics Association, 2016)
    Search engines provide the interface to interact with 3D object repositories, which are rapidly growing in both number and size. This position paper presents the current state of the art on 3D dataset navigation and 3D ...
  • Shape Retrieval and 3D Gestural Interaction 

    Giachetti, Andrea; Caputo, Fabio Marco; Carcangiu, Alessandro; Scateni, Riccardo; Spano, Lucio Davide (The Eurographics Association, 2016)
    Despite the emerging importance of Virtual Reality and immersive interaction research, no papers on application of 3D shape retrieval to this topic have been presented in recent 3D Object Retrieval workshops. In this paper ...
  • Towards an Observer-oriented Theory of Shape Comparison 

    Frosini, Patrizio (The Eurographics Association, 2016)
    In this position paper we suggest a possible metric approach to shape comparison that is based on a mathematical formalization of the concept of observer, seen as a collection of suitable operators acting on a metric space ...