公开(公告)号：WO2013113168A1

公开(公告)日：2013-08-08

申请号：PCT/CN2012/070871

申请日：2012-02-03

Applicant: THOMSON LICENSING ,  JIANG, Wenfei ,  CAI, Kangying ,  LUO, Tao

Inventor： JIANG, Wenfei ,  CAI, Kangying ,  LUO, Tao

IPC: G06T15/00

CPC classification number: G06T15/00 ,  G06T7/70 ,  G06T19/00

Abstract: The invention provides a method for setting the directions of principal axes of a 3D object is provided. The method comprises: for each of any two principal axes, setting the direction of the principal axis according to at least one predefined function, with which the result calculated of the 3D object for the vertices in the positive half space of the principal axis is smaller than or equal to the result for the vertices in the negative half space of the principal axis, wherein a vertex in the positive half space of the principal axis means the one with a coordinate of the principal axis larger than 0, and a vertex in the negative half space of the principal axis means the one with a coordinate of the axis smaller than 0; setting the direction of the third principal axis of to follow the right-hand rule with said two principal axes, wherein the vector for the third axis is the cross product of the vectors for said two principal axes; and displaying a signal of the 3D object with the directions of the principal axes set according to the above steps.

Abstract translation: 本发明提供了一种设置3D对象主轴方向的方法。 该方法包括：对于任何两个主轴中的每一个，根据至少一个预定义的功能来设定主轴的方向，利用该预定义函数计算主轴的正半空间中顶点的3D对象的结果较小 大于或等于主轴的负半空间中的顶点的结果，其中主轴的正半空间中的顶点是指主轴的坐标大于0的顶点，以及 主轴的负半空间是指轴小于0的坐标轴; 设置第三主轴的方向以所述两个主轴遵循右手规则，其中第三轴的向量是用于所述两个主轴的向量的交叉乘积; 以及根据上述步骤，按照主轴的方向显示3D对象的信号。

公开(公告)号：WO2013067673A1

公开(公告)日：2013-05-16

申请号：PCT/CN2011/081878

申请日：2011-11-07

Applicant: THOMSON LICENSING ,  JIANG, Wenfei ,  CAI, Kangying ,  MA, Teng

Inventor： JIANG, Wenfei ,  CAI, Kangying ,  MA, Teng

IPC: G06T9/40

CPC classification number: G06T17/20 ,  G06T9/001 ,  G06T9/004 ,  G06T9/005 ,  G06T9/40

Abstract: A method and apparatus for position decoding of three dimensional mesh models are described including predicting a symbol probability of a non-empty-child-cell C 1,k, where C 1,k denotes the k th cell at layer l , wherein the symbol probability is estimated based on an accuracy of a fitted plane P , decoding the non-empty-child-cell responsive to the received predicted probability of the non-empty-child-cell, subdividing the non-empty-child-cell, if the non-empty-child-cell has more than one vertex, determining if there are more unprocessed non-empty-child-cells at layer /, determining if a lowest layer of non-empty-child -cells has been reached, if there are no more unprocessed non-empty- child-cells at layer / and regenerating the three dimensional mesh model, if the lowest layer of non-empty-child-cells has been reached.

Abstract translation: 描述了一种用于三维网格模型的位置解码的方法和装置，包括预测非空子小区C1的符号概率，其中C1，k表示层1处的第k个小区，其中估计符号概率 基于拟合平面P的精度，响应于所接收到的非空子小区的预测概率对非空子小区进行解码，对非空子小区进行细分，如果非空子小区 -child-cell具有多个顶点，确定层/中是否存在更多未处理的非空子小区，如果没有更多的未处理，则确定是否已经达到最低层的非空子小区 - 如果已经达到最低层的非空 - 子 - 小区，则层/非空子节点和/或再生三维网格模型。

公开(公告)号：WO2013026210A1

公开(公告)日：2013-02-28

申请号：PCT/CN2011/078936

申请日：2011-08-25

Applicant: TECHNICOLOR (CHINA) TECHNOLOGY CO., LTD. ,  JIANG, Wenfei ,  CAI, Kangying ,  HU, Ping

Inventor： JIANG, Wenfei ,  CAI, Kangying ,  HU, Ping

IPC: H04N7/26

CPC classification number: H03M7/00 ,  G06T9/001 ,  G06T9/40 ,  G06T17/005 ,  H04N19/96

Abstract: 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 5 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 ⊂10 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.

Abstract translation: 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。 为了将八叉树分成三部分，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→10S0）对非S1符号本身进行编码， ，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。

公开(公告)号：WO2013010317A1

公开(公告)日：2013-01-24

申请号：PCT/CN2011/077279

申请日：2011-07-18

Applicant: TECHNICOLOR (CHINA) TECHNOLOGY CO., LTD. ,  JIANG, Wenfei ,  CAI, Kangying ,  CHEN, Zhibo

Inventor： JIANG, Wenfei ,  CAI, Kangying ,  CHEN, Zhibo

IPC: G06T9/40 ,  H04N7/26

CPC classification number: H04N19/96 ,  G06T9/00 ,  G06T9/001 ,  G06T9/005 ,  G06T9/40 ,  H03M7/40 ,  H03M7/4056 ,  H03M7/6088 ,  H03M7/6094 ,  H04N19/44

Abstract: In 3D mesh coding, the geometry data is compressed by spatial tree based approaches. Bitstreams that result from the traversal of a tree structure of spatial tree based approaches for encoding 3D mesh models have systematically special redundancies, which is exploited for further improving the mesh model compression. A method for encoding a bitstream comprises steps of defining (51) at least a first and a second symbol group of binary symbols, with S1 being a subset of S2, determining (52) within the bitstream first portions (J1,J2), second portions (K1) and third portions (N1,N2,N3), wherein first portions have Th1 or more consecutive S1 symbols and second portions have Th2 or more consecutive S2 symbols, encoding (54) the bitstream, wherein first portions, second portions and third portions are encoded (54A,54B,54C) using different codes, and encoding (55) values (C 1 ) indicating the boundary positions between the first, second and third portions in the bitstream.

Abstract translation: 在3D网格编码中，几何数据通过基于空间树的方法进行压缩。 通过遍历基于空间树的基于空间树的编码3D网格模型的方法产生的位流具有系统的特殊冗余，被用于进一步改进网格模型压缩。 一种用于编码比特流的方法包括以下步骤：定义（51）至少第二和第二二进制符号组的符号组，其中S1是S2的子集，确定比特流第一部分（J1，J2）内的第二部分 部分（K1）和第三部分（N1，N2，N3），其中第一部分具有Th1个或更多个连续的S1符号，第二部分具有Th2个或更多个连续的S2符号，对比特流进行编码（54），其中第一部分，第二部分和 使用不同的代码对第三部分进行编码（54A，54B，54C），以及指示比特流中的第一，第二和第三部分之间的边界位置的编码（55）值（C1）。

公开(公告)号：WO2014005415A1

公开(公告)日：2014-01-09

申请号：PCT/CN2012/087939

申请日：2012-12-29

Applicant: THOMSON LICENSING ,  CAI, Kangying ,  LUO, Tao ,  JIANG, Wenfei ,  TIAN, Jiang

Inventor： CAI, Kangying ,  LUO, Tao ,  JIANG, Wenfei ,  TIAN, Jiang

IPC: G06T17/00 ,  G06T15/00

CPC classification number: G06T9/001

Abstract: A method for multi-level repetitive structure identification in a 3D model and methods for encoding and decoding 3D model based on such multi-level repetitive structures are described. Repetitive structures in the 3D model are identified to increase the compression ratio by reducing the redundancy among the instance components. Multi-level repetitive structures are extracted from a 3D model by first extracting a first-level repetitive structure, based on which second-level repetitive structures are extracted. "Pattern-instance" representation is used to represent the repetitive structure in an embodiment of the present invention. Connected components are examined in the first-level repetitive structure extraction. Parts of the connected components in the patterns and unique components of the first-level repetitive structures are examined to extract the second-level repetitive structure. Encoding of a 3D model is performed by encoding the multi-level repetitive structure, whereby stitching information is calculated for instance components to avoid misalignment at the boundary of components.

Abstract translation: 描述了一种3D模型中多级重复结构识别的方法和基于这种多层重复结构的3D模型的编码和解码方法。 识别3D模型中的重复结构，通过减少实例组件之间的冗余来增加压缩比。 通过首先提取第一级重复结构，基于哪个二级重复结构被提取，从3D模型提取多级重复结构。 “模式实例”表示用于表示本发明实施例中的重复结构。 连接的组件在第一级重复结构提取中进行了检查。 对第一级重复结构的图案和独特组件中的连接组件的部分进行检查以提取第二级重复结构。 通过对多层重复结构进行编码来执行3D模型的编码，由此针对组件计算缝合信息以避免在组件边界处的错位。

公开(公告)号：WO2013107273A1

公开(公告)日：2013-07-25

申请号：PCT/CN2012/087935

申请日：2012-12-29

Applicant: THOMSON LICENSING ,  JIANG, Wenfei ,  TIAN, Jiang ,  CAI, Kangying ,  LUO, Tao

Inventor： JIANG, Wenfei ,  TIAN, Jiang ,  CAI, Kangying ,  LUO, Tao

IPC: G06T17/00

CPC classification number: H04N13/161 ,  G06T9/001 ,  G06T15/04 ,  H04N19/23

Abstract: A 3D model can be modeled using "pattern-instance?representation. To describe the vertices and triangles, properties of the instance, for example, texture, color, and normal, are adjusted to correspond to the order in the pattern. The texture of an instance is encoded depending on its similarity with the texture of a corresponding pattern. When instance texture is identical or almost identical to the pattern texture, the instance texture is not encoded and the pattern texture will be used to reconstruct the instance texture. When the instance texture is similar to the pattern texture, the instance texture is predictively encoded from the pattern texture, that is, the difference between the instance texture and pattern texture is encoded, and the instance texture is determined as a combination of the pattern texture and the difference.

Abstract translation: 可以使用“模式实例？表示”来建模3D模型。要描述顶点和三角形，实例的属性（例如纹理，颜色和法线）被调整为对应于图案中的顺序。 一个实例根据其与相应图案的纹理的相似性进行编码，当实例纹理与图案纹理相同或几乎相同时，实例纹理不被编码，并且图案纹理将用于重建实例纹理，当 实例纹理与图案纹理相似，从图案纹理预测编码了实例纹理，即实例纹理和图案纹理之间的差异被编码，并且将实例纹理确定为图案纹理和 区别。

公开(公告)号：WO2013029231A1

公开(公告)日：2013-03-07

申请号：PCT/CN2011/079093

申请日：2011-08-30

Applicant: TECHNICOLOR (CHINA) TECHNOLOGY CO., LTD. ,  JIANG, Wenfei ,  JIN, Jian ,  CHEN, Zhibo

Inventor： JIANG, Wenfei ,  JIN, Jian ,  CHEN, Zhibo

IPC: G06T5/00

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2207/20021 ,  G06T2207/20192

Abstract: De-noising an image by Anisotropic Gradient Regulation commences by first choosing edge directions for the image. Thereafter, an anisotropic gradient norm is established for the image from anisotropic gradient norms along the selected edge directions. The image pixels undergo adjustment to minimize the anisotropic gradient norm for the image, thereby removing image noise.

Abstract translation: 首先选择图像的边缘方向，通过各向异性梯度调节来消除图像。 此后，沿着所选边缘方向从各向异性梯度范数的图像建立各向异性梯度范数。 图像像素经过调整以最小化图像的各向异性梯度范数，从而消除图像噪声。

公开(公告)号：WO2013010315A1

公开(公告)日：2013-01-24

申请号：PCT/CN2011/077271

申请日：2011-07-18

Applicant: TECHNICOLOR (CHINA) TECHNOLOGY CO., LTD. ,  JIANG, Wenfei ,  CAI, Kangying ,  TIAN, Jiang

Inventor： JIANG, Wenfei ,  CAI, Kangying ,  TIAN, Jiang

IPC: H04N7/30

CPC classification number: G06T9/001

Abstract: The invention is made in the field of encoding and decoding of rotational data. In particular, the invention is concerned with encoding and decoding of rotational data for rotational transformation of a template of an object into an instance of the object. When quantizing such rotational data for encoding, precision of the quantized rotational data differently impacts quality of a reproduction. This is compensated by the proposed method which comprises using a processor for executing the steps of determining a size of the instance, and using the determined size for determining a quantization parameter for quantizing said rotational data, using the quantization parameter for quantizing the rotational data, and encoding the quantized rotational data and data referencing the template.

Abstract translation: 本发明是在旋转数据的编码和解码领域中进行的。 特别地，本发明涉及用于将对象的模板旋转变换为对象的实例的旋转数据的编码和解码。 当量化用于编码的旋转数据时，量化旋转数据的精度不同地影响再现的质量。 这通过所提出的方法进行补偿，该方法包括使用处理器来执行确定实例的大小的步骤，并且使用确定的大小来确定用于量化所述旋转数据的量化参数，使用用于量化旋转数据的量化参数， 并且对量化的旋转数据和参考模板的数据进行编码。

公开(公告)号：WO2013007171A1

公开(公告)日：2013-01-17

申请号：PCT/CN2012/078301

申请日：2012-07-06

Applicant: TECHNICOLOR (CHINA) TECHNOLOGY CO., LTD. ,  CAI, Kangying ,  JIANG, Wenfei ,  TIAN, Jiang

Inventor： CAI, Kangying ,  JIANG, Wenfei ,  TIAN, Jiang

IPC: H04N7/34 ,  G06T17/20

CPC classification number: H04N13/161 ,  G06T9/001 ,  G06T9/004 ,  H04L65/607 ,  H04N19/20 ,  H04N19/66

Abstract: 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.

Abstract translation: 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。 编码的3D网格模型可以被表示，发送和/或存储为比特流。 当比特流嵌入所有变换数据时，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，方向和缩放因子放入比特流中。 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变换数据类型，例如所有实例的位置，取向或可能的缩放因子打包在一起。

公开(公告)号：WO2014094257A1

公开(公告)日：2014-06-26

申请号：PCT/CN2012/086959

申请日：2012-12-19

Applicant: THOMSON LICENSING ,  JIANG, Wenfei ,  CUI, Hengbin ,  CAI, Kangying

Inventor： JIANG, Wenfei ,  CUI, Hengbin ,  CAI, Kangying

IPC: G06T7/20 ,  G06T17/30

CPC classification number: G06T15/02 ,  G06T11/00 ,  H04N5/262

Abstract: Methods and apparatuses for image abstraction are described. Image regularization is employed to address the image abstraction by minimizing a function of the input image under various constraints. A selective structure preservation constraint can be employed to preserve the important structure of the input image. A rescale multiplier can be further added to maintain or even exaggerate the luminance transition across the real boundaries of objects in the image. A roughly abstracted image can also be introduced into the constraints to keep the number of luminance levels of the abstracted image low. The function of the image is built using the gradient image of the input image. The image abstraction can be extended and applied to video abstraction.

Abstract translation: 描述了图像抽象的方法和装置。 采用图像正则化来通过在各种约束条件下最小化输入图像的函数来解决图像抽象。 可以采用选择性结构保留约束来保留输入图像的重要结构。 可以进一步添加重新缩放乘数以维持或甚至夸大跨越图像中的对象的真实边界的亮度转换。 大致抽象的图像也可以被引入到约束中以将抽象图像的亮度级数保持为低。 使用输入图像的渐变图像构建图像的功能。 图像抽象可以扩展并应用于视频抽象。