COLLABORATIVE FEATURE EXTRACTION SYSTEM FOR THREE DIMENSIONAL DATASETS
    1.
    发明申请
    COLLABORATIVE FEATURE EXTRACTION SYSTEM FOR THREE DIMENSIONAL DATASETS 有权
    用于三维数据的协同特征提取系统

    公开(公告)号:US20120294532A1

    公开(公告)日:2012-11-22

    申请号:US13476676

    申请日:2012-05-21

    申请人: Aaron C. Morris

    发明人: Aaron C. Morris

    IPC分类号: G06K9/46

    摘要: A collaborative feature extraction system uses crowdsourced feedback to improve its ability to recognize objects in three-dimensional datasets. The system accesses a three-dimensional dataset and presents images showing possible objects to a group of users, along with potential identifiers for the objects. The users provide feedback as to the accuracy of the identifiers, and the system uses the feedback to adjust parameters for candidate identifiers to improve its recognition of three-dimensional assets in future iterations.

    摘要翻译: 协同特征提取系统使用众包反馈来提高其在三维数据集中识别对象的能力。 系统访问三维数据集,并将一些可能的对象呈现给一组用户,以及对象的潜在标识符。 用户提供关于标识符的准确性的反馈,并且系统使用反馈来调整候选标识符的参数,以便在将来的迭代中改进其对三维资产的识别。

    Collaborative feature extraction system for three dimensional datasets
    2.
    发明授权
    Collaborative feature extraction system for three dimensional datasets 有权
    三维数据集的协同特征提取系统

    公开(公告)号:US08811748B2

    公开(公告)日:2014-08-19

    申请号:US13476676

    申请日:2012-05-21

    申请人: Aaron C. Morris

    发明人: Aaron C. Morris

    摘要: A collaborative feature extraction system uses crowdsourced feedback to improve its ability to recognize objects in three-dimensional datasets. The system accesses a three-dimensional dataset and presents images showing possible objects to a group of users, along with potential identifiers for the objects. The users provide feedback as to the accuracy of the identifiers, and the system uses the feedback to adjust parameters for candidate identifiers to improve its recognition of three-dimensional assets in future iterations.

    摘要翻译: 协同特征提取系统使用众包反馈来提高其在三维数据集中识别对象的能力。 系统访问三维数据集,并将一些可能的对象呈现给一组用户,以及对象的潜在标识符。 用户提供关于标识符的准确性的反馈,并且系统使用反馈来调整候选标识符的参数,以便在将来的迭代中改进其对三维资产的识别。