会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 7. 发明授权
    • Method for encoding normals of a 3D mesh model, method for decoding normals of a 3D mesh model, encoder and decoder
    • 用于编码3D网格模型的法线的方法,用于解码3D网格模型的法线,编码器和解码器的方法
    • US09214042B2
    • 2015-12-15
    • US13575228
    • 2010-01-25
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • Kang Ying CaiWei Wei LiZhi Bo Chen
    • G06T17/00G06T17/20G06T9/00G06T15/50
    • 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.
    • 用于编码3D网格模型的顶点取向(也称为正常分量)的方法包括正常分量的第一聚类,为每个第一簇确定其大多数元素所属的球面扇区,将正常分量映射到 将预定义扇区中的正常分量重新聚类成第二簇,确定第二簇的预测变量并通过其残差对正态分量进行编码,对其预测器的引用以及指示执行所述镜像映射操作的数据。 通过将球划分成m个相等的球形段并将每个所述球形段划分成n个相等的扇区来获得球面扇形。 用于扇区映射的第一聚类和用于预测编码的第二聚类导致改进的压缩比。
    • 8. 发明授权
    • Compressing data representing computer animated hair
    • 压缩表示计算机动画头发的数据
    • US09064345B2
    • 2015-06-23
    • US13830943
    • 2013-03-14
    • DreamWorks Animation LLC
    • Mark Jeffrey Matthews
    • G06K9/00G06T13/40G06T9/00
    • G06T13/40G06T9/001G06T9/008
    • Data representing animated hair in a computer generated imagery (CGI) scene may be compressed by treating hair data as arrays of parameters. Hair data parameters may include control vertices, hair color, hair radius, and the like. A principal component analysis (PCA) may be performed on the arrays of hair data. PCA may yield new basis vectors, varying in length, with the largest basis vector corresponding to a new dimension with the largest variance in hair data. The hair data may be quantized based on the varying lengths of new basis vectors. The number of bits allocated for quantizing each new dimension corresponding to each new basis vector may be determined based on the relative lengths of new basis vectors, with more bits allocated to dimensions corresponding to longer basis vectors. The quantized hair data may be bit-packed and then compressed using lossless entropy encoding.
    • 在计算机生成的图像(CGI)场景中表示动画头发的数据可以通过将头发数据视为参数数组来压缩。 头发数据参数可以包括控制顶点,头发颜色,头发半径等。 可以对头发数据阵列执行主成分分析(PCA)。 PCA可以产生长度不同的新的基本向量,其中对应于毛发数据中最大方差的新维度的最大基本向量。 毛发数据可以基于新的基本向量的变化长度量化。 可以基于新的基本向量的相对长度来确定分配用于量化对应于每个新的基本向量的每个新维度的比特数,其中更多比特被分配给对应于较长基本向量的维度。 量化头发数据可以是位打包的,然后使用无损熵编码进行压缩。
    • 9. 发明申请
    • COMPRESSING DATA REPRESENTING COMPUTER ANIMATED HAIR
    • 压缩数据表示计算机动画头发
    • US20140270561A1
    • 2014-09-18
    • US13830943
    • 2013-03-14
    • DREAMWORKS ANIMATION LLC
    • Mark Jeffrey MATTHEWS
    • H04N19/94H04N19/423G06T13/80
    • G06T13/40G06T9/001G06T9/008
    • Data representing animated hair in a computer generated imagery (CGI) scene may be compressed by treating hair data as arrays of parameters. Hair data parameters may include control vertices, hair color, hair radius, and the like. A principal component analysis (PCA) may be performed on the arrays of hair data. PCA may yield new basis vectors, varying in length, with the largest basis vector corresponding to a new dimension with the largest variance in hair data. The hair data may be quantized based on the varying lengths of new basis vectors. The number of bits allocated for quantizing each new dimension corresponding to each new basis vector may be determined based on the relative lengths of new basis vectors, with more bits allocated to dimensions corresponding to longer basis vectors. The quantized hair data may be bit-packed and then compressed using lossless entropy encoding.
    • 在计算机生成的图像(CGI)场景中表示动画头发的数据可以通过将头发数据视为参数数组来压缩。 头发数据参数可以包括控制顶点,头发颜色,头发半径等。 可以对头发数据阵列执行主成分分析(PCA)。 PCA可以产生长度不同的新的基本向量,其中对应于毛发数据中最大方差的新维度的最大基本向量。 毛发数据可以基于新的基本向量的变化长度量化。 可以基于新的基本向量的相对长度来确定分配用于量化对应于每个新的基本向量的每个新维度的比特数,其中更多比特被分配给对应于较长基本向量的维数。 量化头发数据可以是位打包的,然后使用无损熵编码进行压缩。
    • 10. 发明申请
    • IMAGE COMPRESSION METHOD AND APPARATUS
    • 图像压缩方法和装置
    • US20130315497A1
    • 2013-11-28
    • US13892707
    • 2013-05-13
    • FUJITSU LIMITED
    • Zheng WANGJianqing Zhu
    • G06T9/00
    • G06T9/008H04N19/124H04N19/15H04N19/174H04N19/428
    • A method and apparatus for image compression. The method includes: calculating a total bit length that is needed for compressing any one segment line and an ideal bit length that is needed for compressing any one segment; for each segment in any one segment line, acquiring a quantization parameter and a compression mode for compressing the segment and an actual bit length that is needed for compressing the segment by using the acquired quantization parameter and compression mode; distributing a redundancy bit length of one or more simple segments in the segment line to one or more complex segments in the segment line, and re-acquiring quantization parameters and compression modes for compressing every complex segment of the one or more complex segments; and compressing every segment in the segment line by using the acquired quantization parameters and compression modes.
    • 一种用于图像压缩的方法和装置。 该方法包括:计算压缩任何一个分段线所需的总比特长度和压缩任何一个分段所需的理想比特长度; 对于任何一个分段行中的每个分段,通过使用所获取的量化参数和压缩模式来获取压缩分段的量化参数和压缩模式以及压缩分段所需的实际比特长度; 将所述段线中的一个或多个简单段的冗余位长度分配到所述段行中的一个或多个复数段,以及重新获取用于压缩所述一个或多个复数段的每个复数段的量化参数和压缩模式; 并通过使用获取的量化参数和压缩模式来压缩段线中的每个段。