• Because it's massive and unstructured, Feature-Oriented Object Level (FOOL) and Multi-servers cluster system are used to integrate and manage spatial data effectively.

    由于其海量和非结构化等特征,实体对象层次模型、群集多服务器体系被提出用以集成并实施高效的空间数据管理。

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  • Local gray histogram statistics is applied to object detection in the images with multi-scale fractal feature.

    在多尺度分形新特征图像中采用局部直方图统计方法进行目标检测。

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  • To get more precise fusion features by clearing redundant features, we propose a feature selection method based on multi-object evolution algorithm.

    为了获得更精简的特征序列,去除冗余特征,在特征约减方面,提出了基于多目标遗传算法的虹膜融合特征约减方法;

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  • The outstanding feature of the proposed scheme is its object-oriented "1 + n" multi-redundancy and process-level redundancy technology, which improves system reliability.

    方案的突出特点是采用了面向对象的“1 +N”冗余技术和功能级冗余,从而提高了系统的可靠性。

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  • SIFT feature was used to describe object in multi-target tracking.

    在多目标跟踪中采用SIFT特点描述。

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  • Geometry model is regarded as the study object. Representation and variance of multi-state model is studied based on 3d geometry feature.

    以几何模型为研究对象,基于三维特征研究多态模型的表示和变迁机理。

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  • Geometry model is regarded as the study object. Representation and variance of multi-state model is studied based on 3d geometry feature.

    以几何模型为研究对象,基于三维特征研究多态模型的表示和变迁机理。

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