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    • 3. 发明公开
    • MULTI-SPECTRAL IMAGE LABELING WITH RADIOMETRIC ATTRIBUTE VECTORS OF IMAGE SPACE REPRESENTATION COMPONENTS
    • 具有图像空间表示元素的辐射特征属性向量的多光谱图像标注
    • EP3201875A1
    • 2017-08-09
    • EP15845734.1
    • 2015-09-25
    • Digitalglobe, Inc.
    • OUZOUNIS, Georgios
    • G06T7/00
    • G06K9/00651G06K9/0063G06K9/00637G06K9/00657G06K9/6282G06K9/6857G06K2009/00644G06K2009/4657G06T9/008G06T11/003G06T2207/30181G06T2210/61
    • Automatic characterization or categorization of portions of an input multispectral image based on a selected reference multispectral image. Sets (e.g., vectors) of radiometric descriptors of pixels of each component of a hierarchical representation of the input multispectral image can be collectively manipulated to obtain a set of radiometric descriptors for the component. Each component can be labeled as a (e.g., relatively) positive or negative instance of at least one reference multispectral image (e.g., mining materials, crops, etc.) through a comparison of the set of radiometric descriptors of the component and a set of radiometric descriptors for the reference multispectral image. Pixels may be labeled (e.g., via color, pattern, etc.) as positive or negative instances of the land use or type of the reference multispectral image in a resultant image based on components within which the pixels are found.
    • 基于选定的参考多光谱图像对输入多光谱图像的部分进行自动表征或分类。 输入多光谱图像的分层表示的每个分量的像素的辐射度描述符的集合(例如矢量)可以被共同操纵以获得用于该分量的一组辐射度描述符。 通过比较组件的一组辐射测量描述符和一组参考多光谱图像(例如采矿材料,作物等),每个组件可以被标记为至少一个参考多光谱图像(例如,相对)正面或负面的实例 用于参考多光谱图像的辐射测量描述符。 基于其中发现像素的分量,可以将像素标记为(例如,经由颜色,图案等)作为土地使用的正面或负面实例或所得图像中的参考多光谱图像的类型。
    • 6. 发明公开
    • METHOD FOR ENCODING NORMALS OF A 3D MESH MODEL, METHOD FOR DECODING NORMALS OF A 3D MESH MODEL, ENCODER AND DECODER
    • METHOD FOR CODING师范大学3D网格模型,方法用于解码的师范大学3D网格模型,编码器和解码器
    • EP2529356A1
    • 2012-12-05
    • EP10843638.7
    • 2010-01-25
    • Thomson Licensing
    • CAI, KangyingLI, WeiweiCHEN, Zhibo
    • G06T17/00
    • G06T9/001G06T9/004G06T9/008G06T15/50G06T17/20G06T17/205
    • A method for encoding vertex orientations, also known as normal components, of a 3D mesh model comprises a first clustering of the normal components, determining for each of the first clusters a sphere sector to which most of its elements belong, mapping normal components to a predefined sector, re-clustering the normal components in the predefined sector into second clusters, determining predictors for the second clusters and encoding a normal component by its residual, a reference to its predictor and data indicating which of said mirror mapping operations were performed. A sphere sector is obtained by dividing a sphere into m equal spherical segments and dividing each of said spherical segments into n equal sectors. The first clustering for the sector mapping and the second clustering for predictive coding result in an improved compression ratio.
    • 一种用于编码3D网格模型的顶点取向,所以称为正常组件,方法包括的正常组分的第一聚类,确定性采矿对于每个所述第一集群的球体扇区哪个最其元素的属于的,映射正常组分一个 预定义的行业,重新聚类在预定义的扇区中的正常组分到第二集群,为对第二集群确定性采矿预测,并通过其剩余编码正常组分,进行其预测器和数据指示所述镜像映射操作中的哪一个参考。 球体扇区是通过将球体为m等于球形段和将每个所述球形分段为n个相等的扇区得到。 对于扇区映射的第一聚类和用于预测编码的结果,在压缩比提高了第二聚类。