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    • 6. 发明授权
    • Error propogation and variable-bandwidth mean shift for feature space analysis
    • 特征空间分析误差传播和可变带宽平均偏移
    • US07437006B2
    • 2008-10-14
    • US10382437
    • 2003-03-06
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • G06K9/62G06K9/74
    • G06K9/4633G06K9/3233
    • The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
    • 本发明包括使用用于构建具有可变不确定性的特征空间的误差传播,并且使用可变带宽平均移位来分析这样的空间,以提供峰值检测和空间划分。 本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间,以及检测由霍夫空间中的峰表示的对象。 通过考虑到变换图像颜色的不确定性和运动流的不确定性,本发明可以进一步用于背景建模。 此外,本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。 本发明可用于医疗,监视,监控,汽车,增强现实和检查等各种应用。
    • 8. 发明授权
    • Error propogation and variable-bandwidth mean shift for feature space analysis
    • 特征空间分析误差传播和可变带宽平均偏移
    • US07881531B2
    • 2011-02-01
    • US12198349
    • 2008-08-26
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • Benedicte BascleDorin ComaniciuAnurag MittalVisvanathan Ramesh
    • G06K9/34G06K9/00G06K9/62G06K9/68
    • G06K9/4633G06K9/3233
    • The present invention comprises using error propagation for building feature spaces with variable uncertainty and using variable-bandwidth mean shift for the analysis of such spaces, to provide peak detection and space partitioning. The invention applies these techniques to construct and analyze Hough spaces for line and geometrical shape detection, as well as to detect objects that are represented by peaks in the Hough space. This invention can be further used for background modeling by taking into account the uncertainty of the transformed image color and uncertainty of the motion flow. Furthermore, the invention can be used to segment video data in invariant spaces, by propagating the uncertainty from the original space and using the variable-bandwidth mean shift to detect peaks. The invention can be used in a variety of applications such as medical, surveillance, monitoring, automotive, augmented reality, and inspection.
    • 本发明包括使用用于构建具有可变不确定性的特征空间的误差传播,并且使用可变带宽平均移位来分析这样的空间,以提供峰值检测和空间划分。 本发明应用这些技术来构建和分析用于线和几何形状检测的霍夫空间,以及检测由霍夫空间中的峰表示的对象。 通过考虑到变换图像颜色的不确定性和运动流的不确定性,本发明可以进一步用于背景建模。 此外,本发明可以用于通过从原始空间传播不确定性并使用可变带宽平均偏移来检测峰值来在不变空间中分割视频数据。 本发明可用于医疗,监视,监控,汽车,增强现实和检查等各种应用。