System and method for Inter-Frame Predictive Compression for Point Clouds

    公开(公告)号:US20190116357A1

    公开(公告)日:2019-04-18

    申请号:US15876522

    申请日:2018-01-22

    Abstract: A point cloud encoder including an input interface to accept a dynamic point cloud including a sequence of point cloud frames of a scene. A processor encodes blocks of a current point cloud frame to produce an encoded frame. Wherein, for encoding a current block of the current point cloud frame, a reference block is selected similar to the current block according to a similarity metric to serve as a reference to encode the current block. Pair each point in the current block to a point in the reference block based on values of the paired points. Encode the current block based on a combination of an identification of the reference block and residuals between the values of the paired points. Wherein the residuals are ordered according to an order of the values of the points in the reference block. A transmitter transmits the encoded frame over a communication channel.

    Method and system for reconstructing sampled signals
    24.
    发明授权
    Method and system for reconstructing sampled signals 有权
    重建采样信号的方法和系统

    公开(公告)号:US09510787B2

    公开(公告)日:2016-12-06

    申请号:US14567015

    申请日:2014-12-11

    Abstract: A method reconstructs a signal by sampling the signal using a sampling procedure to obtain an input signal. A consistent set is determined from the input signal including the first elements such that applying the sampling procedure to the first elements results in the input signal. According to the type of the signal, a guiding set is determined including second elements disjoint from the first elements. A reconstruction set including third elements is generated so that the third elements minimize a sum of a first similarity measure of the third elements to the second elements and a second similarity measure of the third elements to the first elements. A transformed signal that minimizes a function on the reconstruction set is determined. A reconstructed signal is rendered so that a third similarity measure of the reconstructed signal to the transformed signal is smaller than a tolerance.

    Abstract translation: 一种方法通过使用采样程序采样信号来重建信号以获得输入信号。 从包括第一元件的输入信号确定一致的集合,使得对第一元素应用采样过程导致输入信号。 根据信号的类型,确定包括与第一元件不相交的第二元素的引导集合。 生成包括第三元素的重建集合,使得第三元素使第三元素与第二元素的第一相似性度量和第一元素的第三元素的第二相似性度量的和最小化。 确定最小化重建集上的功能的变换信号。 渲染重构的信号,使得重构信号与变换信号的第三相似性度量小于公差。

    Method and system for segmenting an image based on motion vanishing points
    25.
    发明授权
    Method and system for segmenting an image based on motion vanishing points 有权
    基于运动消失点分割图像的方法和系统

    公开(公告)号:US09430840B1

    公开(公告)日:2016-08-30

    申请号:US14806778

    申请日:2015-07-23

    Abstract: A method segments an image acquired by a sensor of a scene by first obtaining motion vectors corresponding to the image and generating a motion vanishing point image, wherein each pixel in the motion vanishing point image represents a number of intersections of pairs of motion vectors at the pixel. In the motion vanishing point image, a representation point for each motion vector is generated and distances between the motion vectors are determined based on the representation points. Then, a motion graph is constructed wherein each node represents a motion vector, and each edge represents a weight based on the distance between the nodes. Graph spectral clustering is performed on the motion graph to produce segments of the image.

    Abstract translation: 方法通过首先获得与图像相对应的运动矢量并产生运动消失点图像来分割由场景的传感器获取的图像,其中运动消失点图像中的每个像素表示运动消失点图像中的运动矢量对的数量 像素。 在运动消失点图像中,生成每个运动矢量的表示点,并且基于表示点来确定运动矢量之间的距离。 然后,构造运动图,其中每个节点表示运动矢量,并且每个边缘表示基于节点之间的距离的权重。 在运动图上执行图谱聚类,以产生图像的段。

    Method and System for Reconstructing Sampled Signals
    26.
    发明申请
    Method and System for Reconstructing Sampled Signals 有权
    重构采样信号的方法和系统

    公开(公告)号:US20160173736A1

    公开(公告)日:2016-06-16

    申请号:US14567015

    申请日:2014-12-11

    Abstract: A method reconstructs a signal by sampling the signal using a sampling procedure to obtain an input signal. A consistent set is determined from the input signal including the first elements such that applying the sampling procedure to the first elements results in the input signal. According to the type of the signal, a guiding set is determined including second elements disjoint from the first elements. A reconstruction set including third elements is generated so that the third elements minimize a sum of a first similarity measure of the third elements to the second elements and a second similarity measure of the third elements to the first elements. A transformed signal that minimizes a function on the reconstruction set is determined. A reconstructed signal is rendered so that a third similarity measure of the reconstructed signal to the transformed signal is smaller than a tolerance.

    Abstract translation: 一种方法通过使用采样程序采样信号来重建信号以获得输入信号。 从包括第一元件的输入信号确定一致的集合,使得对第一元素应用采样过程导致输入信号。 根据信号的类型,确定包括与第一元件不相交的第二元素的引导集合。 生成包括第三元素的重建集合,使得第三元素使第三元素与第二元素的第一相似性度量和第一元素的第三元素的第二相似性度量的和最小化。 确定最小化重建集上的功能的变换信号。 渲染重构的信号,使得重构信号与变换信号的第三相似性度量小于公差。

    Method and System for Backward 3D-View Synthesis Prediction using Neighboring Blocks
    27.
    发明申请
    Method and System for Backward 3D-View Synthesis Prediction using Neighboring Blocks 有权
    使用相邻块的向后3D视图合成预测的方法和系统

    公开(公告)号:US20140092208A1

    公开(公告)日:2014-04-03

    申请号:US13631852

    申请日:2012-09-28

    Abstract: Videos of a scene are processed for view synthesis. The videos are acquired by corresponding cameras arranged so that a view of each camera overlaps with the view of at least one other camera. For each current block, motion or disparity vector is obtained from neighboring blocks. A depth block is based on a corresponding reference depth image and the motion or disparity vector. A prediction block is generated based on the depth block using backward warping. Then, predictive coding for the current block using the prediction block.

    Abstract translation: 处理场景的视频进行视图合成。 这些视频是通过相应的摄像机来获取的,所述摄像机布置成使得每个照相机的视图与至少一个其它摄像机的视图重叠。 对于每个当前块,从相邻块获得运动或视差向量。 深度块基于相应的参考深度图像和运动或视差矢量。 基于使用向后翘曲的深度块生成预测块。 然后,使用预测块对当前块进行预测编码。

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