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    • 3. 发明申请
    • Method and Apparatus for Generating a Bitstream of Repetitive Structure Discovery Based 3D Model Compression
    • 用于生成基于重复结构发现的3D模型压缩的比特流的方法和装置
    • US20140285487A1
    • 2014-09-25
    • US14356737
    • 2011-11-25
    • Kangying CaiWenfei JiangJiang Tian
    • Kangying CaiWenfei JiangJiang Tian
    • G06T9/00
    • G06T9/001H04N19/70
    • A method and apparatus for generating a bitstream representative of a 3D model, and a method and an apparatus for processing the same. A 3D model is modeled by using a using a ‘pattern-instance’ representation, wherein a pattern is a representative geometry of a repetitive structure, and the connected components belonging to the repetitive structure is call an instance of the corresponding pattern. After discovery of the repetitive structures and their transformations and properties, the present embodiments provide for generating a bitstream in either a first format or a second format. In the first format, the pattern ID and its associated transformation and property information are grouped together in the bitstream, and in the second format the pattern ID, transformation property and property information are grouped together according to information type.
    • 一种生成表示3D模型的比特流的方法和装置,以及用于处理该模型的方法和装置。 通过使用“模式 - 实例”表示来建模3D模型,其中模式是重复结构的代表性几何,并且属于重复结构的连接组件称为对应模式的实例。 在发现重复结构及其变换和属性之后,本实施例提供以第一格式或第二格式生成比特流。 在第一格式中,模式ID及其关联的变换和属性信息在比特流中被分组在一起,并且在第二格式中,模式ID,变换属性和属性信息根据信息类型被分组在一起。
    • 6. 发明申请
    • COMPONENT SORTING BASED ENCODING FOR 3D MESH COMPRESSION
    • 用于3D网格压缩的基于分量分类的编码
    • US20150078674A1
    • 2015-03-19
    • US14378333
    • 2012-02-20
    • Wenfei JiangKangying CaiJiang Tian
    • Wenfei JiangKangying CaiJiang Tian
    • H04N19/597H04N19/124
    • H04N19/597G06T9/00G06T9/001H04N1/417H04N19/124
    • A method and an apparatus for 3D model compression are described. Correlation among the components of the 3D model are explored and utilized to increase the compression ratio. A principal parameter is selected and examined for determining a sorting dimension. Components are then sorted according to the sorting dimension. The principal parameter values of the sorted components are incrementally encoded. Other parameters are encoded as usual. The corresponding decoder decodes the principal parameter values of the components incrementally and decodes other parameter values as usual. Further an adaptive bit determination algorithm is disclosed to adaptively determine the number of bits assigned to each parameter value based on the value range thereof and the distortion requirements.
    • 描述了用于3D模型压缩的方法和装置。 探索和利用3D模型的组件之间的相关性来提高压缩比。 选择和检查主要参数以确定排序维度。 然后根据排序尺寸对组件进行排序。 排序分量的主要参数值被递增编码。 其他参数按常规编码。 相应的解码器逐渐解码组件的主要参数值,并照常解码其他参数值。 此外,公开了一种自适应比特确定算法,以基于其值范围和失真要求自适应地确定分配给每个参数值的比特数。
    • 7. 发明申请
    • VEXTEX CORRECTION METHOD AND APPARATUS FOR ROTATED THREE-DIMENSIONAL (3D) COMPONENTS
    • 旋转三维(3D)组件的VEXTEX校正方法和装置
    • US20150055882A1
    • 2015-02-26
    • US14390546
    • 2012-04-18
    • Wenfei JiangKangying CaiJiang Tian
    • Wenfei JiangKangying CaiJiang Tian
    • H04N19/62H04N19/91H04N19/44H04N19/124
    • H04N19/62G06T9/001G06T9/004H04N19/124H04N19/44H04N19/91
    • A 3D model can be modeled using pattern-instance representation, wherein an instance component may be represented as transformation (for example, rotation, translation, and scaling) of a pattern. Quantization errors may be introduced when encoding rotation information, causing different vertex coordinate errors at different vertices of an instance. To efficiently compensate the vertex coordinate errors, an upper bound can be estimated for the vertex coordinate error of a vertex. Based on the upper bound, the codec decides whether the vertex coordinate error of the vertex needs to be compensated, and decides a quantization parameter for compensating the vertex coordinate error if compensation is needed. The upper bound can be estimated at both the encoder and decoder, and thus, no explicit signaling is needed to indicate whether vertex coordinate error compensation is used or to indicate the quantization parameter for the vertex coordinate error.
    • 可以使用模式实例表示来建模3D模型,其中实例组件可以被表示为模式的变换(例如,旋转,平移和缩放)。 在编码旋转信息时可引入量化误差,导致在实例的不同顶点引起不同的顶点坐标误差。 为了有效补偿顶点坐标误差,可以为顶点的顶点坐标误差估计上限。 基于上限,编解码器确定顶点的顶点坐标误差是否需要补偿,并且如果需要补偿,则决定用于补偿顶点坐标误差的量化参数。 可以在编码器和解码器两者估计上限,因此,不需要明确的信令来指示是使用顶点坐标误差补偿还是指示顶点坐标误差的量化参数。
    • 8. 发明申请
    • SYSTEM AND METHOD FOR ENCODING AND DECODING A BITSTREAM FOR A 3D MODEL HAVING REPETITIVE STRUCTURE
    • 用于编码和解码具有重复结构的3D模型的BITSTREAM的系统和方法
    • US20140160241A1
    • 2014-06-12
    • US14131325
    • 2012-07-06
    • Kangying CaiWenfei JiangJiang Tian
    • Kangying CaiWenfei JiangJiang Tian
    • H04N13/00H04L29/06
    • H04N13/161G06T9/001G06T9/004H04L65/607H04N19/20H04N19/66
    • Typically, 3D meshes are represented by three types of data: connectivity data, geometry data and property data. An encoded 3D mesh model can be represented, transmitted and/or stored as a bitstream. While the bitstream embeds all the transformation data, it is efficient and may address several applications, where sometimes either bitstream size or decoding efficiency or error resilience matters the most. Therefore, two mode options are disclosed for how to put the transformation data of one instance, i.e. its position, orientation and scaling factor, in the bitstream. In the first mode, the position, orientation and possible scaling factor of one instance are packed together in the bitstream. In the second mode, transformation data types, for example, the positions, orientations or possible scaling factors of all instances are packed together according to the data type in the bitstream.
    • 通常,3D网格由三种类型的数据表示:连接数据,几何数据和属性数据。 可以将编码的3D网格模型表示,发送和/或存储为比特流。 当比特流嵌入所有的变换数据时,它是有效的并且可以解决几个应用,其中有时位流大小或解码效率或错误恢复力最重要。 因此,公开了两种模式选项,用于如何将一个实例的变换数据,即其位置,方向和缩放因子放在比特流中。 在第一模式中,一个实例的位置,方向和可能的缩放因子在比特流中打包在一起。 在第二模式中,根据比特流中的数据类型将所有实例的变换数据类型,例如位置,取向或可能的缩放因子打包在一起。
    • 9. 发明申请
    • METHOD AND DEVICE FOR ENCODING AN ORIENTATION VECTOR OF A CONNECTED COMPONENT, CORRESPONDING DECODING METHOD AND DEVICE AND STORAGE MEDIUM CARRYING SUCH ENCODED DATA
    • 用于编码连接组件的方向矢量的方法和设备,相应的解码方法和设备以及携带该编码数据的存储介质
    • US20140146043A1
    • 2014-05-29
    • US14233595
    • 2012-07-17
    • Wenfei JiangKangying CaiJiang Tian
    • Wenfei JiangKangying CaiJiang Tian
    • G06T9/00
    • G06T9/00G06T9/008H03M7/3082
    • The invention is made in the field of encoding and decoding at least one orientation vector of a connected component. When quantizing vector components for encoding, an acceptable quantization deviation of encoded vector components sometimes leads to unacceptable deviations of calculated vector components. Therefore, a method is proposed which comprises quantizing and de-quantizing a first and a second component of the vector, and encoding the quantized first and second component and a bit signalling the sign of a third component of said vector, using the pre-determined length and the de-quantized first and second component for determining whether a calculated absolute of an approximation of the third component of said vector is smaller than a first threshold, and, if the calculated absolute is smaller than the first threshold, determining, quantizing and encoding a residual between the calculated absolute of the third component and the absolute of the third component.
    • 本发明是在对连接部件的至少一个取向矢量进行编码和解码的领域中进行的。 当量化用于编码的矢量分量时,编码矢量分量的可接受的量化偏差有时会导致计算出的矢量分量的不可接受的偏差。 因此,提出了一种方法,其包括量化和解量化所述向量的第一和第二分量,以及使用所述预定义的信号对所述量化的第一和第二分量进行编码,以及向所述矢量的第三分量的信号发信号 长度和去量化的第一和第二分量,用于确定计算的所述矢量的第三分量的绝对值的绝对值是否小于第一阈值,并且如果所计算的绝对值小于第一阈值,则确定,量化和 编码计算的第三分量的绝对值与第三分量的绝对值之间的残差。
    • 10. 发明授权
    • Hierarchical entropy encoding and decoding
    • 分层熵编码和解码
    • US09035807B2
    • 2015-05-19
    • US14240066
    • 2011-08-25
    • Wenfei JiangKangying CaiPing Hu
    • Wenfei JiangKangying CaiPing Hu
    • H03M5/00H03M7/00G06T17/00G06T9/00G06T9/40H04N19/96
    • H03M7/00G06T9/001G06T9/40G06T17/005H04N19/96
    • A particular implementation receives geometry data of a 3D mesh, and represents the geometry data with an octree. The particular implementation partitions the octree into three parts, wherein the symbols corresponding to the middle part of the octree are hierarchical entropy encoded. To partition the octree into three parts, different thresholds are used. Depending on whether a symbol associated with a node is an S1 symbol, the child node of the node is included in the middle part or the upper part of the octree. In hierarchical entropy encoding, a non-S1 symbol is first encoded as a pre-determined symbol ‘X’ using symbol set S2={S1, ‘X’} and the non-S1 symbol itself is then encoded using symbol set S0 (S2⊂S0), and an S1 symbol is encoded using symbol set S2. Another implementation defines corresponding hierarchical entropy decoding. A further implementation reconstructs the octree and restores the geometry data of a 3D mesh from the octree representation.
    • 特定实现接收3D网格的几何数据,并且表示具有八叉树的几何数据。 特定实现将八叉树分割成三部分,其中对应于八叉树的中间部分的符号是分层熵编码的。 为了将八叉树分为三个部分,使用不同的阈值。 根据与节点相关联的符号是否为S1符号,节点的子节点包含在八叉树的中间部分或上部。 在分层熵编码中,首先使用符号集S2 = {S1,'X')将非S1符号编码为预定符号“X”,然后使用符号集S0(S2 ⊂S0),并且使用符号集S2对S1符号进行编码。 另一个实现定义了相应的分层熵解码。 另一个实现重建八叉树,并从八叉树表示恢复3D网格的几何数据。