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    • 1. 发明申请
    • OBJECT RECOGNITION SYSTEM WITH DATABASE PRUNING AND QUERYING
    • 具有数据库检测和查询功能的对象识别系统
    • WO2012006579A1
    • 2012-01-12
    • PCT/US2011/043440
    • 2011-07-08
    • QUALCOMM INCORPORATEDBAHETI, Pawan K.SWAMINATHAN, AshwinSPINDOLA, Serafin DiazNING, Xia
    • BAHETI, Pawan K.SWAMINATHAN, AshwinSPINDOLA, Serafin DiazNING, Xia
    • G06F17/30G06K9/64G06K9/62G06K9/46
    • G06F17/30247G06K9/4676G06K9/6226G06K9/6228
    • A database for object recognition is generated by performing at least one of intra-object pruning and inter-object pruning, as well as keypoint clustering and selection. Intra-object pruning removes similar and redundant keypoints within an object and different views of the same object, and may be used to generate and associate a significance value, such as a weight, with respect to remaining keypoint descriptors. Inter-object pruning retains the most informative set of descriptors across different objects, by characterizing the discriminability of the keypoint descriptors for all of the objects and removing keypoint descriptors with a discriminability that is less than a threshold. Additionally, a mobile platform may download a geographically relevant portion of the database and perform object recognition by extracting features from the query image and using determined confidence levels for each query feature during outlier removal.
    • 通过执行对象内修剪和对象间修剪以及关键点聚类和选择中的至少一个来生成用于对象识别的数据库。 对象内修剪删除对象内的相似和冗余的关键点以及相同对象的不同视图,并且可以用于生成关联剩余关键点描述符的重要值(例如权重)并将其相关联。 对象间修剪通过表征所有对象的关键点描述符的可区分性并且以小于阈值的区分性去除关键点描述符来保留跨越不同对象的最有用的描述符集合。 此外,移动平台可以下载数据库的地理上相关的部分并且通过从查询图像中提取特征并且在异常值去除期间使用确定的每个查询特征的置信水平来执行对象识别。