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    SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties▪ (English)

    In: Computers and Graphics ; 99 ; 1-21  ; 2021
    • ISSN:
      0097-8493
    • Article (Journal)  /  Electronic Resource

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    Highlights A new benchmark of protein surfaces equipped with three physicochemical properties. Protein surfaces are retrieved and classified with respect to different ground truths. Analysis of the retrieval and classification performances of the methods that participated in SHREC 2021. A thorough Investigation of how different physicochemical properties impact the performance of retrieval methods.

    Graphical abstract Display Omitted

    Abstract This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties. The goal of the contest is to assess the capability of different computational approaches to identify different conformations of the same protein, or the presence of common sub-parts, starting from a set of molecular surfaces. We addressed two problems: defining the similarity solely based on the surface geometry or with the inclusion of physicochemical information, such as electrostatic potential, amino acid hydrophobicity, and the presence of hydrogen bond donors and acceptors. Retrieval and classification performances, with respect to the single protein or the existence of common sub-sequences, are analysed according to a number of information retrieval indicators.

    Table of contents – Volume 99

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    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
    SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties▪
    Raffo, Andrea / Fugacci, Ulderico / Biasotti, Silvia / Rocchia, Walter / Liu, Yonghuai / Otu, Ekpo / Zwiggelaar, Reyer / Hunter, David / Zacharaki, Evangelia I. / Psatha, Eleftheria et al. | 2021
    22
    Skyscraper visualization of multiple time-dependent scalar fields on surfaces
    Meuschke, Monique / Voß, Samuel / Gaidzik, Franziska / Preim, Bernhard / Lawonn, Kai et al. | 2021
    43
    Example-based terrain synthesis with pit removal
    Scott, Joshua J. / Dodgson, Neil A. et al. | 2021
    54
    Cross-domain assessment of deep learning-based alignment solutions for real-time 3D reconstruction
    Lombardi, Marco / Savardi, Mattia / Signoroni, Alberto et al. | 2021
    70
    iVRoad: Immersive virtual road crossing as an assessment tool for unilateral spatial neglect
    Wagner, Sebastian / Belger, Julia / Joeres, Fabian / Thöne-Otto, Angelika / Hansen, Christian / Preim, Bernhard / Saalfeld, Patrick et al. | 2021
    83
    Procedural crowd generation for semantically augmented virtual cities
    Rogla, Otger / Patow, Gustavo A. / Pelechano, Nuria et al. | 2021
    100
    ‘CADSketchNet’ - An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks▪
    Manda, Bharadwaj / Dhayarkar, Shubham / Mitheran, Sai / Viekash, V.K. / Muthuganapathy, Ramanathan et al. | 2021
    114
    Analyzing the similarity of protein domains by clustering Molecular Surface Maps
    Schatz, Karsten / Frieß, Florian / Schäfer, Marco / Buchholz, Patrick C.F. / Pleiss, Jürgen / Ertl, Thomas / Krone, Michael et al. | 2021
    128
    UrbanVR: An immersive analytics system for context-aware urban design
    Zhang, Chi / Zeng, Wei / Liu, Ligang et al. | 2021
    139
    Cross-time registration of 3D point clouds
    Saiti, Evdokia / Danelakis, Antonios / Theoharis, Theoharis et al. | 2021
    153
    A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving
    Zamanakos, Georgios / Tsochatzidis, Lazaros / Amanatiadis, Angelos / Pratikakis, Ioannis et al. | 2021
    182
    Feature interpolation convolution for point cloud analysis▪ 
    Zhang, Jie / Liu, Jian / Liu, Xiuping / Wei, Jiang / Cao, Junjie / Tang, Kewei et al. | 2021
    192
    SHREC 2021: 3D point cloud change detection for street scenes
    Ku, Tao / Galanakis, Sam / Boom, Bas / Veltkamp, Remco C. / Bangera, Darshan / Gangisetty, Shankar / Stagakis, Nikolaos / Arvanitis, Gerasimos / Moustakas, Konstantinos et al. | 2021
    201
    SHREC 2021: Skeleton-based hand gesture recognition in the wild
    Caputo, Ariel / Giachetti, Andrea / Soso, Simone / Pintani, Deborah / D’Eusanio, Andrea / Pini, Stefano / Borghi, Guido / Simoni, Alessandro / Vezzani, Roberto / Cucchiara, Rita et al. | 2021
    212
    Enhancement of ridge-valley features in point cloud based on position and normal guidance
    Nie, Jianhui / Zhang, Zhaochen / Liu, Ye / Gao, Hao / Xu, Feng / Shi, Wenkai et al. | 2021
    224
    Spatio-temporal filtered motion DAGs for path-tracing
    Martinek, Magdalena / Thiemann, Philip / Stamminger, Marc et al. | 2021
    234
    A collaborative virtual reality environment for liver surgery planning
    Chheang, Vuthea / Saalfeld, Patrick / Joeres, Fabian / Boedecker, Christian / Huber, Tobias / Huettl, Florentine / Lang, Hauke / Preim, Bernhard / Hansen, Christian et al. | 2021
    247
    Optimizing Build Orientation for Support Removal using Multi-Axis Machining
    Mirzendehdel, Amir M. / Behandish, Morad / Nelaturi, Saigopal et al. | 2021
    259
    inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum
    Caldeira, Thais / Julio, Paulo Rogério / Appenzeller, Simone / Rittner, Leticia et al. | 2021
    A1
    Editorial Note
    Jorge, Joaquim et al. | 2021
    A5
    GRSI Best Paper Award
    | 2019
    A7
    Foreword to the special section on molecular graphics and visual analysis of molecular data (MolVA 2021)
    Byška, Jan / Krone, Michael / Sommer, Bjorn et al. | 2021
    A9
    Foreword to the Special Section on CAD/Graphics 2021
    | 2021
    ii
    Editorial Board
    | 2019

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    Download is DRM protected.

    Commercial Copyright fee: €36.00 Basic fee: €4.00 Total price: €40.00
    Academic Copyright fee: €36.00 Basic fee: €2.00 Total price: €38.00

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