EXEMPLAR-BASED COLOR CLASSIFICATION
    1.
    发明申请
    EXEMPLAR-BASED COLOR CLASSIFICATION 审中-公开
    基于EXEMPLAR的颜色分类

    公开(公告)号:US20150279047A1

    公开(公告)日:2015-10-01

    申请号:US14538732

    申请日:2014-11-11

    CPC classification number: G06T7/90 G06F16/5838 G06K9/4661 G06T2207/10024

    Abstract: Disclosed is a method and apparatus for exemplars-based color classification. In one embodiment, the functions implemented include: processing an image captured by a camera to identify a first color profile that most closely matches colors of the image, wherein the first color profile is selected from a plurality of color profiles each color profile encoding data related to how two or more component colors appear under a different lighting condition.

    Abstract translation: 公开了一种用于基于示例的颜色分类的方法和装置。 在一个实施例中,所实现的功能包括:处理由相机拍摄的图像,以识别与图像的颜色最接近匹配的第一颜色特征,其中,从多个颜色分布中选择每个颜色配置文件编码数据相关 如何在不同的照明条件下显示两个或多个分量颜色。

    DYNAMIC EXTENSION OF MAP DATA FOR OBJECT DETECTION AND TRACKING
    2.
    发明申请
    DYNAMIC EXTENSION OF MAP DATA FOR OBJECT DETECTION AND TRACKING 有权
    用于物体检测和跟踪的地图数据的动态扩展

    公开(公告)号:US20150098615A1

    公开(公告)日:2015-04-09

    申请号:US14505345

    申请日:2014-10-02

    CPC classification number: G06K9/00624 G06K9/00671 G06K9/4604 G06K9/6202

    Abstract: A computer-implemented method of tracking a target object in an object recognition system includes acquiring a plurality of images with a camera and simultaneously tracking the target object and dynamically building online map data from the plurality of images. Tracking of the target object is based on the online map data and the offline map data. In one aspect, tracking the target object includes enabling only one of the online map data and offline map data for tracking based on whether tracking is successful. In another aspect, tracking the target object includes fusing the online map data with the offline map data to generate a fused online model.

    Abstract translation: 在物体识别系统中跟踪目标对象的计算机实现的方法包括使用相机获取多个图像,并同时跟踪目标对象并且从多个图像动态构建在线地图数据。 目标对象的跟踪是基于在线地图数据和离线地图数据。 在一个方面,跟踪目标对象包括仅基于跟踪是否成功启用在线地图数据和离线地图数据之一进行跟踪。 在另一方面,跟踪目标对象包括将在线地图数据与离线地图数据融合以产生融合在线模型。

    MULTIVIEW PRUNING OF FEATURE DATABASE FOR OBJECT RECOGNITION SYSTEM
    3.
    发明申请
    MULTIVIEW PRUNING OF FEATURE DATABASE FOR OBJECT RECOGNITION SYSTEM 审中-公开
    用于对象识别系统的特征数据库的多播功能

    公开(公告)号:US20150095360A1

    公开(公告)日:2015-04-02

    申请号:US14492976

    申请日:2014-09-22

    Abstract: A method of building a database for an object recognition system includes acquiring several multi-view images of a target object and then extracting a first set of features from the images. One of these extracted features is then selected and a second set of features is determined based on which of the first set of features include both, descriptors that match and keypoint locations that are proximate to the selected feature. If a repeatability of the selected feature is greater than a repeatability threshold and if a discriminability is greater than a discriminability threshold, then at least one derived feature is stored to the database, where the derived single feature is representative of the second set of features.

    Abstract translation: 构建用于对象识别系统的数据库的方法包括获取目标对象的多个多视图图像,然后从图像中提取第一组特征。 然后选择这些提取的特征中的一个,并且基于第一组特征中的哪一个包括与所选择的特征相邻的描述符和匹配关键点的位置来确定第二组特征。 如果所选特征的可重复性大于可重复性阈值,并且如果可辨别性大于可识别阈值,则至少一个导出特征被存储到数据库,其中所导出的单个特征代表第二组特征。

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