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公开(公告)号：US09542748B2
公开(公告)日：2017-01-10
申请号：US14646656
申请日：2013-04-08
Applicant: LSI Corporation
Inventor： Ivan Leonidovich Mazurenko , Pavel Aleksandrovich Aliseitchik , Alexander Borisovich Kholodenko , Denis Vasilyevich Parfenov , Denis Vladimirovich Parkhomenko
CPC classification number: G06T7/11 , G06F3/017 , G06K9/00375 , G06K9/46 , G06K9/6218 , G06K2009/4666 , G06T7/194 , G06T7/50 , G06T2207/10028
Abstract: Systems and methods for image processing may perform one or more operations including, but not limited to: receiving raw image data from at least one imaging device; computing at least one image depth distance from the raw image data; computing one or more image validity flags from the raw image data; generating at least one data validity mask from the one or more image validity flags; determining a background imagery estimation from at least one image depth distance; generating at least one foreground mask from the background imagery estimation and the at least one image depth distance; generating at least one region-of-interest mask from the data validity mask and the foreground mask; and generating filtered raw image data from the raw image data and at least one region of interest mask.
Abstract translation: 用于图像处理的系统和方法可以执行一个或多个操作，包括但不限于：从至少一个成像设备接收原始图像数据; 计算与原始图像数据的至少一个图像深度距离; 从原始图像数据计算一个或多个图像有效性标志; 从所述一个或多个图像有效性标志生成至少一个数据有效性掩码; 从至少一个图像深度距离确定背景图像估计; 从所述背景图像估计和所述至少一个图像深度距离中生成至少一个前景蒙版; 从数据有效性掩码和前景掩码生成至少一个感兴趣的区域掩模; 以及从原始图像数据和至少一个感兴趣区域掩模生成滤波后的原始图像数据。
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公开(公告)号：US20140053038A1
公开(公告)日：2014-02-20
申请号：US13671640
申请日：2012-11-08
Applicant: LSI CORPORATION
Inventor： Alexander Alexandrovich Petyushko , Anatoli Aleksandrovich Bolotov , Yang Han , Ivan Leonidovich Mazurenko , Alexander Borisovich Kholodenko , Denis Vladimirovich Zaytsev , Denis Vasilievich Parfenov
IPC: H03M13/13
CPC classification number: H03M13/015 , H03M13/1102
Abstract: A method for estimating error probability of LDPC codes includes ordering LDPC codes according to features in each code with known error characteristics. The method includes identifying features in each LDPC code having known error characteristics; adding each code to one or more categories based on the existence of such features; and ranking the LDPC codes according to the level of error risk.
Abstract translation: 用于估计LDPC码的误差概率的方法包括根据具有已知误差特性的每个码中的特征排序LDPC码。 该方法包括识别具有已知误差特性的每个LDPC码中的特征; 基于这些特征的存在将每个代码添加到一个或多个类别中; 并根据错误风险级别对LDPC码进行排序。
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公开(公告)号：US08713495B2
公开(公告)日：2014-04-29
申请号：US13780222
申请日：2013-02-28
Applicant: LSI Corporation
Inventor： Pavel Aleksandrovich Aliseychik , Aleksey Alexandrovich Letunovskiy , Alexander Alexandrovich Petyushko , Denis Vladimirovich Parkhomenko , Alexander Borisovich Kholodenko
IPC: G06F17/50
CPC classification number: G06F17/5022 , G06F17/5045 , G06F17/505
Abstract: A computer-aided design method for developing, simulating, and testing a read-channel architecture to be implemented in a VLSI circuit. The method uses a coset operating mode and nonzero-syndrome-based decoding to accelerate the simulation of the read-channel's error-rate characteristics corresponding to different parity-check matrices employed in the read-channel's turbo-decoder, such as a low-density parity-check decoder. The acceleration is achieved through recycling some previously generated log-likelihood-ratio values, which enables the method to sometimes bypass certain time-consuming processing steps therein.
Abstract translation: 一种用于开发，仿真和测试在VLSI电路中实现的读通道架构的计算机辅助设计方法。 该方法使用陪集操作模式和基于非零校正的解码来加速对于在读通道的turbo解码器中采用的不同奇偶校验矩阵对应的读通道的误码率特性的模拟，例如低密度 奇偶校验解码器。 通过再循环一些先前产生的对数似然比值来实现加速，这使得该方法有时可以绕过其中一些耗时的处理步骤。
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公开(公告)号：US09037944B2
公开(公告)日：2015-05-19
申请号：US13671640
申请日：2012-11-08
Applicant: LSI Corporation
Inventor： Alexander Alexandrovich Petyushko , Anatoli Aleksandrovich Bolotov , Yang Han , Ivan Leonidovich Mazurenko , Alexander Borisovich Kholodenko , Denis Vladimirovich Zaytsev , Denis Vasilievich Parfenov
CPC classification number: H03M13/015 , H03M13/1102
Abstract: A method for estimating error probability of LDPC codes includes ordering LDPC codes according to features in each code with known error characteristics. The method includes identifying features in each LDPC code having known error characteristics; adding each code to one or more categories based on the existence of such features; and ranking the LDPC codes according to the level of error risk.
Abstract translation: 用于估计LDPC码的误差概率的方法包括根据具有已知误差特性的每个码中的特征排序LDPC码。 该方法包括识别具有已知误差特性的每个LDPC码中的特征; 基于这些特征的存在将每个代码添加到一个或多个类别中; 并根据错误风险级别对LDPC码进行排序。
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Patent Agency Ranking
5.发明申请公开(公告)号：US20140226854A1
公开(公告)日：2014-08-14
申请号：US13973040
申请日：2013-08-22
Applicant: LSI Corporation
Inventor： Ivan Leonidovich Mazurenko , Alexander Alexandrovich Petyushko , Denis Vladimirovich Parkhomenko , Alexander Borisovich Kholodenko , Dmitry Nicolaevich Babin
IPC: G06K9/00
CPC classification number: G06K9/00201 , G06T7/248 , G06T2207/10016 , G06T2207/10028 , G06T2207/30201
Abstract: A method and system for key frame based region of interest (ROI) tracking is disclosed. The method includes storing a key ROI set in a key ROI buffer, the key ROI set including at least one key ROI; designating one of the key ROI in the key ROI set as an active key ROI; receiving a point cloud representing a particular ROI to be processed for tracking; establishing a correspondence between that particular ROI and the active key ROI; determining whether to switch the active key designation to another key ROI in the key ROI set and switching the active key designation accordingly; and determining whether to modify the key ROI set and modifying the key ROI set accordingly.
Abstract translation: 公开了一种基于关键帧的感兴趣区域（ROI）跟踪的方法和系统。 该方法包括将关键ROI集合存储在关键ROI缓冲器中，所述关键ROI集合包括至少一个关键ROI; 指定关键投资回报率作为主要投资回报率的关键ROI之一; 接收代表要进行跟踪的特定ROI的点云; 建立该特定ROI与活动密钥ROI之间的对应关系; 确定在所述关键ROI集合中是否将活动密钥指定切换到另一关键ROI，并相应地切换所述活动密钥指定; 并确定是否修改关键的ROI集合并相应地修改关键的ROI集合。
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6.发明申请公开(公告)号：US20140193092A1
公开(公告)日：2014-07-10
申请号：US13950384
申请日：2013-07-25
Applicant: LSI Corporation
Inventor： Alexander Alexandrovich Petyushko , Dmitry Nikolaevich Babin , Ivan Leonidovich Mazurenko , Alexander Borisovich Kholodenko
IPC: G06K9/46
CPC classification number: G06T3/4053
Abstract: Superresolution image processing that can be applied when two image frames of the same scene are available so that image information from one frame can be used to enhance the image from the other frame. The superresolution image processing uses a sparse matrix generated based on a Markov random field defined over these two image frames. The sparse matrix is inverted and applied to the image data from the image frame that is being enhanced to generate a corresponding enhanced image.
Abstract translation: 可以在相同场景的两个图像帧可用时应用的超分辨率图像处理，使得可以使用来自一个帧的图像信息来增强来自另一帧的图像。 超分辨率图像处理使用基于在这两个图像帧上定义的马尔科夫随机场生成的稀疏矩阵。 稀疏矩阵被反转并应用于正被增强的图像帧的图像数据以产生相应的增强图像。
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7.发明授权公开(公告)号：US09336431B2
公开(公告)日：2016-05-10
申请号：US13973040
申请日：2013-08-22
Applicant: LSI Corporation
Inventor： Ivan Leonidovich Mazurenko , Alexander Alexandrovich Petyushko , Denis Vladimirovich Parkhomenko , Alexander Borisovich Kholodenko , Dmitry Nicolaevich Babin
CPC classification number: G06K9/00201 , G06T7/248 , G06T2207/10016 , G06T2207/10028 , G06T2207/30201
Abstract: A method and system for key frame based region of interest (ROI) tracking is disclosed. The method includes storing a key ROI set in a key ROI buffer, the key ROI set including at least one key ROI; designating one of the key ROI in the key ROI set as an active key ROI; receiving a point cloud representing a particular ROI to be processed for tracking; establishing a correspondence between that particular ROI and the active key ROI; determining whether to switch the active key designation to another key ROI in the key ROI set and switching the active key designation accordingly; and determining whether to modify the key ROI set and modifying the key ROI set accordingly.
Abstract translation: 公开了一种基于关键帧的感兴趣区域（ROI）跟踪的方法和系统。 该方法包括将关键ROI集合存储在关键ROI缓冲器中，所述关键ROI集合包括至少一个关键ROI; 指定关键投资回报率作为主要投资回报率的关键ROI之一; 接收代表要进行跟踪的特定ROI的点云; 建立该特定ROI与活动密钥ROI之间的对应关系; 确定在所述关键ROI集合中是否将活动密钥指定切换到另一关键ROI，并相应地切换所述活动密钥指定; 并确定是否修改关键的ROI集合并相应地修改关键的ROI集合。
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公开(公告)号：US20140226895A1
公开(公告)日：2014-08-14
申请号：US13972349
申请日：2013-08-21
Applicant: LSI Corporation
Inventor： Dmitry Nicolaevich Babin , Alexander Alexandrovich Petyushko , Ivan Leonidovich Mazurenko , Alexander Borisovich Kholodenko , Denis Vladimirovich Parkhomenko
IPC: G06K9/00
CPC classification number: G06K9/00214 , G06T7/33 , G06T2207/10028
Abstract: A method and system for registration of three-dimensional (3D) image frames is disclosed. The method includes receiving two point clouds representing two 3D image frames obtained at two time instances; locating the origins for the two point clouds; constructing two 2D grids for representing the two point clouds, wherein each 2D grid is constructed based on spherical representation of its corresponding point cloud and origin; identifying two sets of feature points based on the two 2D grids constructed; establishing a correspondence between the first set of feature points and the second set of feature points based on a neighborhood radius threshold; and determining an orthogonal transformation between the first 3D image frame and the second 3D image frame based on the correspondence between the first set of feature points and the second set of feature points.
Abstract translation: 公开了用于三维（3D）图像帧的配准的方法和系统。 该方法包括接收表示在两个时间实例获得的两个3D图像帧的两个点云; 找出两点云的起源; 构建用于表示两点云的两个2D网格，其中基于其对应的点云和原点的球面表示构建每个2D网格; 基于构建的两个2D网格识别两组特征点; 基于邻域半径阈值建立第一组特征点与第二组特征点之间的对应关系; 以及基于所述第一组特征点和所述第二组特征点之间的对应关系来确定所述第一3D图像帧与所述第二3D图像帧之间的正交变换。
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公开(公告)号：US20140053121A1
公开(公告)日：2014-02-20
申请号：US13780222
申请日：2013-02-28
Applicant: LSI CORPORATION
Inventor： Pavel Aleksandrovich Aliseychik , Aleksey Alexandrovich Letunovskiy , Alexander Alexandrovich Petyushko , Denis Vladimirovich Parkhomenko , Alexander Borisovich Kholodenko
IPC: G06F17/50
CPC classification number: G06F17/5022 , G06F17/5045 , G06F17/505
Abstract: A computer-aided design method for developing, simulating, and testing a read-channel architecture to be implemented in a VLSI circuit. The method uses a coset operating mode and nonzero-syndrome-based decoding to accelerate the simulation of the read-channel's error-rate characteristics corresponding to different parity-check matrices employed in the read-channel's turbo-decoder, such as a low-density parity-check decoder. The acceleration is achieved through recycling some previously generated log-likelihood-ratio values, which enables the method to sometimes bypass certain time-consuming processing steps therein.
Abstract translation: 一种用于开发，仿真和测试在VLSI电路中实现的读通道架构的计算机辅助设计方法。 该方法使用陪集操作模式和基于非零校正的解码来加速对于在读通道的turbo解码器中采用的不同奇偶校验矩阵对应的读通道的误码率特性的模拟，例如低密度 奇偶校验解码器。 通过再循环一些先前产生的对数似然比值来实现加速，这使得该方法有时可以绕过其中一些耗时的处理步骤。
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