Pre-processing Biometric Parameters before Encoding and Decoding
    3.
    发明申请
    Pre-processing Biometric Parameters before Encoding and Decoding 有权
    在编码和解码之前预处理生物特征参数

    公开(公告)号:US20080235515A1

    公开(公告)日:2008-09-25

    申请号:US11928687

    申请日:2007-10-30

    IPC分类号: H04K1/00 H04L9/00

    摘要: Biometric parameters acquired from human faces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely, while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data. The biometric parameters can be pre-processed to form a binary representation, in which the binary representation has a set of predetermined statistical properties enforced imposed by a set of binary logical conditions.

    摘要翻译: 从人脸,语音,指纹和虹膜获取的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数到下一个读数不同,所以应用校正子码来确定生物统计学综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。 生物特征参数可以被预处理以形成二进制表示,其中二进制表示具有由一组二进制逻辑条件强加的一组预定的统计特性。

    Biometric based user authentication and data encryption
    4.
    发明授权
    Biometric based user authentication and data encryption 有权
    基于生物特征的用户认证和数据加密

    公开(公告)号:US07779268B2

    公开(公告)日:2010-08-17

    申请号:US11564638

    申请日:2006-11-29

    IPC分类号: G06F7/00 G06F7/04 G06F21/00

    摘要: Biometric parameters acquired from human forces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data.

    摘要翻译: 从人力,语音,指纹和鸢尾获得的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数变化到下一个读数,所以应用校正子码来确定生物特征综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。

    Pre-processing biometric parameters before encoding and decoding
    5.
    发明授权
    Pre-processing biometric parameters before encoding and decoding 有权
    在编码和解码之前预处理生物特征参数

    公开(公告)号:US08375218B2

    公开(公告)日:2013-02-12

    申请号:US11928687

    申请日:2007-10-30

    IPC分类号: G06F21/00

    摘要: Biometric parameters acquired from human faces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely, while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data. The biometric parameters can be pre-processed to form a binary representation, in which the binary representation has a set of predetermined statistical properties enforced imposed by a set of binary logical conditions.

    摘要翻译: 从人脸,语音,指纹和虹膜获取的生物特征参数用于用户认证和访问控制。 因为生物特征参数是连续的,并且从一个读数到下一个读数不同,所以应用校正子码来确定生物统计学综合征矢量。 可以安全地存储生物特征综合征矢量,同时容忍生物特征数据的固有变异性。 存储的生物统计量子载体在用户认证期间使用当时获取的生物特征参数进行解码。 校正码也可用于加密和解密数据。 生物特征参数可以被预处理以形成二进制表示,其中二进制表示具有由一组二进制逻辑条件强加的一组预定的统计特性。

    Method for enhancing depth images of scenes using trellis structures
    8.
    发明授权
    Method for enhancing depth images of scenes using trellis structures 有权
    使用网格结构增强场景深度图像的方法

    公开(公告)号:US08994722B2

    公开(公告)日:2015-03-31

    申请号:US13406139

    申请日:2012-02-27

    IPC分类号: G06T15/20

    CPC分类号: G06T15/205

    摘要: An image for a virtual view of a scene is generated based on a set of texture images and a corresponding set of depth images acquired of the scene. A set of candidate depths associated with each pixel of a selected image is determined. For each candidate depth, a cost that estimates a synthesis quality of the virtual image is determined. The candidate depth with a least cost is selected to produce an optimal depth for the pixel. Then, the virtual image is synthesized based on the optimal depth of each pixel and the texture images. The method also applies first and second depth enhancement before, and during view synthesis to correct errors or suppress noise due to the estimation or acquisition of the dense depth images and sparse depth features.

    摘要翻译: 基于一组纹理图像和从该场景获取的对应的一组深度图像来生成用于场景的虚拟视图的图像。 确定与所选图像的每个像素相关联的一组候选深度。 对于每个候选深度,确定估计虚拟图像的合成质量的成本。 选择具有最低成本的候选深度以产生像素的最佳深度。 然后,基于每个像素的最佳深度和纹理图像合成虚拟图像。 该方法还在视图合成之前和视图合成期间都应用第一和第二深度增强,以校正误差或抑制由于估计或获取密集深度图像和稀疏深度特征而导致的噪声。

    Method for selecting transform types from mapping table for prediction modes
    9.
    发明授权
    Method for selecting transform types from mapping table for prediction modes 有权
    从预测模式的映射表中选择变换类型的方法

    公开(公告)号:US08929455B2

    公开(公告)日:2015-01-06

    申请号:US13175737

    申请日:2011-07-01

    摘要: A method codes pictures in a bitstream, wherein the bitstream includes coded pictures to obtain data for associated TUs and data for generating a transform tree, and a partitioning of coding units (CUs) into Prediction Units (PUs), and data for obtaining prediction modes or directions associated with each PU. One or more mapping tables are defined, wherein each row of each table has an associated index and a first set of transform types to be used for applying an inverse transformation to the data in TU. The first set of transform types is selected according to an index, and then a second set of transform types is applied as the inverse transformation to the data, wherein the second set of transform types is determined according to the first set of transform types and a transform-toggle flag (ttf) to obtain a reconstructed prediction residual.

    摘要翻译: 一种方法对比特流中的图像进行编码,其中比特流包括用于获得相关联的TU的数据的编码图像和用于生成变换树的数据,以及将编码单元(CU)划分为预测单元(PU)和用于获得预测模式的数据 或与每个PU相关联的方向。 定义一个或多个映射表,其中每个表的每一行具有相关联的索引和用于将逆变换应用于TU中的数据的第一组变换类型。 根据索引选择第一组变换类型,然后应用第二组变换类型作为数据的逆变换,其中根据第一组变换类型确定第二组变换类型,并且a 变换切换标志(ttf)以获得重建的预测残差。

    Method for coding videos using dictionaries
    10.
    发明授权
    Method for coding videos using dictionaries 有权
    使用字典编码视频的方法

    公开(公告)号:US08767835B2

    公开(公告)日:2014-07-01

    申请号:US12979414

    申请日:2010-12-28

    摘要: A video encoded as a bit stream is decoded by maintaining a set of dictionaries generated from decoded prediction residual signals, wherein elements of the set of dictionaries have associated indices. A current macroblock is entropy decoded and inverse quantized to produce decoded coefficients. For the current macroblock, a particular dictionary of the set of dictionaries is selected according to a prediction mode signaled in the bit stream, and particular elements of the particular dictionary are selected according to a copy mode signal in the bit stream and the associated index. The particular elements is scaled and combined, using the decoded coefficients, to reconstruct a current decoded macroblock prediction residual signal. Then, the current decoded macroblock prediction residual signal is combined with previously decoded macroblocks to generate an output macroblock of a reconstructed video, wherein the steps are performed in a decoder.

    摘要翻译: 通过维持从解码的预测残差信号产生的一组字典来解码编码为比特流的视频,其中字典集合中的元素具有相关联的索引。 当前宏块被熵解码并被反量化以产生解码系数。 对于当前的宏块,根据在位流中发信号的预测模式来选择字典集合的特定字典,并且根据位流中的复制模式信号和相关联的索引来选择特定字典的特定元素。 使用解码的系数对特定元素进行缩放和组合,以重构当前解码的宏块预测残差信号。 然后,将当前解码的宏块预测残差信号与先前解码的宏块相组合以产生重构视频的输出宏块,其中在解码器中执行这些步骤。