Browsing 3DOR 16 by Issue Date

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Browsing 3DOR 16 by Issue Date

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  • 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 ...
  • 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 ...
  • Alfredo Ferreira; Andrea Giachetti; Daniela Giorgi (Eurographics Association, 2016)
  • 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 ...
  • 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 ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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. ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...

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