Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

    ACM Transactions on Graphics (TOG), Volume abs/1705.01661, Issue 4, 2017.

    Cited by: 30|Bibtex|Views28|Links
    EI

    Abstract:

    We propose a method for converting geometric shapes into hierarchically segmented parts with part labels. Our key idea is to train category-specific models from the scene graphs and part names that accompany 3D shapes in public repositories. These freely-available annotations represent an enormous, untapped source of information on geomet...More

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