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The large number of protein structures deposited in the protein database provide an opportunity to examine the structure relations using computational algorithms, which can be used to classify the structures based on shape similarity. In this paper, we report the result of the SHREC 2017 track on shape retrievals from protein database. The goal of this track is to test the performance of the algorithms proposed by participants for the retrieval of bioshape (proteins). The test set is composed of 5,854 abstracted shapes from actual protein structures after removing model redundancy. Ten query shapes were selected from a set of representative molecules that have important biological functions. Six methods from four teams were evaluated and the performance is summarized in this report, in which both the retrieval accuracy and computational speed were compared. The biological relevance of the shape retrieval approaches is discussed. We also discussed the future perspectives of shape retrieval for biological molecular models.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Exploiting the PANORAMA Representation for Convolutional Neural Network Classification and Retrieval
Sfikas, Konstantinos / Theoharis, Theoharis / Pratikakis, Ioannis | 2017
9
LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition
Zhi, Shuaifeng / Liu, Yongxiang / Li, Xiang / Guo, Yulan | 2017
17
Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks
Boulch, Alexandre / Saux, Bertrand Le / Audebert, Nicolas | 2017
25
RGB-D to CAD Retrieval with ObjectNN Dataset
Hua, Binh-Son / Truong, Quang-Trung / Tran, Minh-Khoi / Pham, Quang-Hieu / Kanezaki, Asako / Lee, Tang / Chiang, HungYueh / Hsu, Winston / Li, Bo / Lu, Yijuan et al. | 2017
33
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
Smedt, Quentin De / Wannous, Hazem / Vandeborre, Jean-Philippe / Guerry, J. / Saux, B. Le / Filliat, D. | 2017
39
Large-Scale 3D Shape Retrieval from ShapeNet Core55
Savva, Manolis / Yu, Fisher / Su, Hao / Kanezaki, Asako / Furuya, Takahiko / Ohbuchi, Ryutarou / Zhou, Zhichao / Yu, Rui / Bai, Song / Bai, Xiang et al. | 2017
51
Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
Craciun, Daniela / Levieux, Guillaume / Montes, Matthieu | 2017
55
Sketch-based 3D Object Retrieval with Skeleton Line Views - Initial Results and Research Problems
Zhao, Xueqing / Gregor, Robert / Mavridis, Pavlos / Schreck, Tobias | 2017
59
GSHOT: a Global Descriptor from SHOT to Reduce Time and Space Requirements
Mateo, Carlos M. / Gil, Pablo / Torres, Fernando | 2017
63
A Framework Based on Compressed Manifold Modes for Robust Local Spectral Analysis
Haas, Sylvain / Baskurt, Atilla / Dupont, Florent / Denis, Florence | 2017
67
Protein Shape Retrieval
Song, Na / Craciun, Daniela / Christoffer, Charles W. / Han, Xusi / Kihara, Daisuke / Levieux, Guillaume / Montes, Matthieu / Qin, Hong / Sahu, Pranjal / Terashi, Genki et al. | 2017
75
Point-Cloud Shape Retrieval of Non-Rigid Toys
Limberger, F. A. / Wilson, R. C. / Aono, M. / Audebert, N. / Boulch, A. / Bustos, B. / Giachetti, A. / Godil, A. / Saux, B. Le / Li, B. et al. | 2017
85
Deformable Shape Retrieval with Missing Parts
Rodolà, E. / Cosmo, L. / Litany, O. / Bronstein, M. M. / Bronstein, A. M. / Audebert, N. / Hamza, A. Ben / Boulch, A. / Castellani, U. / Do, M. N. et al. | 2017
95
Retrieval of Surfaces with Similar Relief Patterns
Biasotti, S. / Thompson, E. Moscoso / Aono, M. / Hamza, A. Ben / Bustos, B. / Dong, S. / Du, B. / Fehri, A. / Li, H. / Limberger, F. A. et al. | 2017
105
3D Mesh Unfolding via Semidefinite Programming
Liu, Juncheng / Lian, Zhouhui / Xiao, Jianguo | 2017
113
Directed Curvature Histograms for Robotic Grasping
Schulz, Rodrigo / Guerrero, Pablo / Bustos, Benjamin | 2017
121
Semantic Correspondence Across 3D Models for Example-based Modeling
Léon, Vincent / Itier, Vincent / Bonneel, Nicolas / Lavoué, Guillaume / Vandeborre, Jean-Philippe | 2017
129
Towards Recognizing of 3D Models Using A Single Image
Rashwan, Hatem A. / Chambon, Sylvie / Morin, Geraldine / Gurdjos, Pierre / Charvillat, Vincent | 2017
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