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    Protein Shape Retrieval (Unknown language)

    In: Eurographics Workshop on 3D Object Retrieval ; 67-74  ; 2017

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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
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    33
    3D Hand Gesture Recognition Using a Depth and Skeletal Dataset
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    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
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    55
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    59
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    63
    A Framework Based on Compressed Manifold Modes for Robust Local Spectral Analysis
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    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
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    113
    Directed Curvature Histograms for Robotic Grasping
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    121
    Semantic Correspondence Across 3D Models for Example-based Modeling
    Léon, Vincent / Itier, Vincent / Bonneel, Nicolas / Lavoué, Guillaume / Vandeborre, Jean-Philippe et al. | 2017
    129
    Towards Recognizing of 3D Models Using A Single Image
    Rashwan, Hatem A. / Chambon, Sylvie / Morin, Geraldine / Gurdjos, Pierre / Charvillat, Vincent et al. | 2017

    How to get this title?

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    Commercial Copyright fee: €14.50 Basic fee: €4.00 Total price: €18.50
    Academic Copyright fee: €4.50 Basic fee: €2.00 Total price: €6.50

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