Method and Apparatus for Encoding and Decoding a Texture Block Using Depth Based Block Partitioning
    2.
    发明申请
    Method and Apparatus for Encoding and Decoding a Texture Block Using Depth Based Block Partitioning 审中-公开
    使用基于深度的块分区对纹理块进行编码和解码的方法和装置

    公开(公告)号:US20160134874A1

    公开(公告)日:2016-05-12

    申请号:US15000539

    申请日:2016-01-19

    Abstract: A method and apparatus for encoding and decoding a texture block using depth based block portioning, which includes an apparatus for decoding an encoded texture block of a texture image, and a partitioner, determines a portioning mask for the encoded texture block based on depth information associated to the encoded texture block, and the portioning mask defines a plurality of partitions and to associate a texture block element of the encoded texture block to a partition of the plurality of partitions of the encoded texture block, and a decoder decode the partitions of the plurality of partitions of the encoded texture block based on the portioning mask.

    Abstract translation: 一种用于使用基于深度的块分割对纹理块进行编码和解码的方法和装置,其包括用于对纹理图像的编码纹理块进行解码的装置和分割器,基于相关的深度信息确定编码纹理块的分割掩码 并且分割掩模定义多个分区并且将编码纹理块的纹理块元素与编码纹理块的多个分区的分区相关联,并且解码器解码多个分割的分区 基于分割掩码的编码纹理块的分区。

    Neural network data processing apparatus and method

    公开(公告)号:US11687775B2

    公开(公告)日:2023-06-27

    申请号:US16579665

    申请日:2019-09-23

    Inventor: Jacek Konieczny

    CPC classification number: G06N3/08 G06N3/04

    Abstract: Embodiments of the invention relates to a data processing apparatus comprising a processor configured to provide a neural network, wherein the neural network comprises a neural network layer being configured to generate from an array of input data values an array of output data values based on a plurality of position dependent kernels and a plurality of input data values of the array of input data values. Moreover, embodiments of the invention relates to a corresponding data processing method.

    Method and Apparatus for Computing a Synthesized Picture
    4.
    发明申请
    Method and Apparatus for Computing a Synthesized Picture 审中-公开
    用于计算合成图像的方法和装置

    公开(公告)号:US20160065931A1

    公开(公告)日:2016-03-03

    申请号:US14937046

    申请日:2015-11-10

    Inventor: Jacek Konieczny

    Abstract: A method for computing a synthesized picture (sT′) of a visual scene, the method comprising projecting the left depth map (sD,l) into a left projected depth map (sD,l′) and projecting the right depth map (sD,r) into a right projected depth map (sD,r′), and determining a left disoccluded area (sF,l′) in the left projected depth map (sD,l′) and a right disoccluded area (sF,r′) in the right projected depth map (sD,r′); detecting object border misalignments between the left projected depth map (sD,l′) and the right projected depth map (sD,r′); determining a left reliability map information (sR,l′) based on the left disoccluded area (sF,l′), and the detected object border misalignments, and determining a right reliability map information (sR,r′) based on the right disoccluded area (sF,r′), and the detected object border misalignments; and computing the synthesized picture.

    Abstract translation: 一种用于计算视觉场景的合成图像(sT')的方法,所述方法包括将左深度图(sD,l)投影到左投影深度图(sD,l')中,并将右深度图(sD, (sD,r'),并且确定左投影深度图(sD,l')和右偏离区域(sF,r')中的左偏离区域(sF,l'), 在右投影深度图(sD,r'); 检测左投影深度图(sD,l')和右投影深度图(sD,r')之间的对象边界未对准; 基于左偏离区域(sF,l')确定左可靠度图信息(sR,l'),以及检测到的对象边界未对准,并且基于正确的解决方案确定正确的可靠性图信息(sR,r') 区域(sF,r')和检测到的物体边界未对齐; 并计算合成图像。

    Image processing apparatus and method for determining a depth of a pixel of a reference image

    公开(公告)号:US10692235B2

    公开(公告)日:2020-06-23

    申请号:US15655841

    申请日:2017-07-20

    Abstract: The disclosure relates to an image processing apparatus for determining a depth of a pixel of a reference image of a plurality of images representing a visual scene relative to a plurality of locations, wherein the plurality of locations define a two-dimensional grid with rows and columns and wherein the location of the reference image is associated with a reference row and a reference column of the grid. The image processing apparatus comprises a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with a row of the grid different than the reference row and with a column of the grid different than the reference column.

    Image processing apparatus and method

    公开(公告)号:US10593056B2

    公开(公告)日:2020-03-17

    申请号:US15860930

    申请日:2018-01-03

    Abstract: The disclosure relates to an image processing apparatus for selecting a plurality of depth information values for a subset of currently processed fragments of a set of currently processed fragments of a currently processed digital image. The image processing apparatus includes a non-transitory memory storage comprising instructions and one or more hardware processors in communication with the memory storage. The one or more hardware processors execute the instructions to: process the currently processed fragments of the set of currently processed fragments in parallel; and process the currently processed fragments of the subset of currently processed fragments in parallel.

    IMAGE PROCESSING APPARATUS AND METHOD
    8.
    发明申请

    公开(公告)号:US20170316570A1

    公开(公告)日:2017-11-02

    申请号:US15655841

    申请日:2017-07-20

    Abstract: The disclosure relates to an image processing apparatus for determining a depth of a pixel of a reference image of a plurality of images representing a visual scene relative to a plurality of locations, wherein the plurality of locations define a two-dimensional grid with rows and columns and wherein the location of the reference image is associated with a reference row and a reference column of the grid. The image processing apparatus comprises a depth determiner configured to determine a first depth estimate on the basis of the reference image and a first subset of the plurality of images for determining the depth of the pixel of the reference image, wherein the images of the first subset are associated with locations being associated with a row of the grid different than the reference row and with a column of the grid different than the reference column.

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