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    • 3. 发明申请
    • LOCATION-AIDED RECOGNITION
    • 位置识别
    • US20120321175A1
    • 2012-12-20
    • US13162591
    • 2011-06-17
    • Varsha HedauSudipta SinhaCharles Lawrence ZitnickRichard Szeliski
    • Varsha HedauSudipta SinhaCharles Lawrence ZitnickRichard Szeliski
    • G06K9/62
    • G06K9/6227G06K9/6231
    • A mobile device having the capability of performing real-time location recognition with assistance from a server is provided. The approximate geophysical location of the mobile device is uploaded to the server. Based on the mobile device's approximate geophysical location, the server responds by sending the mobile device a message comprising a classifier and a set of feature descriptors. This can occur before an image is captured for visual querying. The classifier and feature descriptors are computed during an offline training stage using techniques to minimize computation at query time. The classifier and feature descriptors are used to perform visual recognition in real-time by performing the classification on the mobile device itself.
    • 提供了具有从服务器的协助执行实时位置识别能力的移动设备。 移动设备的近似地球物理位置被上传到服务器。 基于移动设备的近似地球物理位置,服务器通过向移动设备发送包括分类器和一组特征描述符的消息来进行响应。 这可能在捕获图像以进行视觉查询之前发生。 分类器和特征描述符在离线训练阶段使用技术来计算,以最小化查询时间的计算。 分类器和特征描述符用于通过在移动设备本身上执行分类来实时执行视觉识别。
    • 4. 发明授权
    • Location-aided recognition
    • 位置辅助识别
    • US09152882B2
    • 2015-10-06
    • US13162591
    • 2011-06-17
    • Varsha HedauSudipta SinhaCharles Lawrence ZitnickRichard Szeliski
    • Varsha HedauSudipta SinhaCharles Lawrence ZitnickRichard Szeliski
    • G06K9/62
    • G06K9/6227G06K9/6231
    • A mobile device having the capability of performing real-time location recognition with assistance from a server is provided. The approximate geophysical location of the mobile device is uploaded to the server. Based on the mobile device's approximate geophysical location, the server responds by sending the mobile device a message comprising a classifier and a set of feature descriptors. This can occur before an image is captured for visual querying. The classifier and feature descriptors are computed during an offline training stage using techniques to minimize computation at query time. The classifier and feature descriptors are used to perform visual recognition in real-time by performing the classification on the mobile device itself.
    • 提供了具有从服务器的协助执行实时位置识别能力的移动设备。 移动设备的近似地球物理位置被上传到服务器。 基于移动设备的近似地球物理位置,服务器通过向移动设备发送包括分类器和一组特征描述符的消息来进行响应。 这可能在捕获图像以进行视觉查询之前发生。 分类器和特征描述符在离线训练阶段使用技术来计算,以最小化查询时间的计算。 分类器和特征描述符用于通过在移动设备本身上执行分类来实时执行视觉识别。