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    • 14. 发明申请
    • TECHNIQUES FOR PARALLEL EXECUTION OF RANSAC ALGORITHM
    • 并行执行RANSAC算法的技术
    • WO2015143661A1
    • 2015-10-01
    • PCT/CN2014/074179
    • 2014-03-27
    • INTEL CORPORATIONYANG, LiuLI, QiangWANG, BinXU, XianchaoNIU, Bing
    • YANG, LiuLI, QiangWANG, BinXU, XianchaoNIU, Bing
    • G06F19/00
    • G06F17/5009G06F17/18G06F17/50G06F2217/16G06T7/35
    • Various embodiments are generally directed to techniques for employing a hybrid of sequential and parallel processing to perform random sample and consensus (RANSAC). A device to perform RANSAC includes a derivation component to derive a first set of proposed models in parallel from a first set of minimal sample sets of a data set;and a comparison component to recalculate a required quantity of proposed models to derive an accurate model if a proposed model of the first set of proposed models better fits the data set than any proposed model derived prior to derivation of the first set of proposed models,and to determine whether to derive a second set of proposed models following derivation of the first set of proposed models based on a comparison of the required quantity to a quantity of previously derived proposed models that includes the first set. Other embodiments are described and claimed.
    • 各种实施例通常涉及采用顺序和并行处理的混合来执行随机抽样和共同(RANSAC)的技术。 执行RANSAC的装置包括派生组件以从数据集的第一组最小采样集合并行地导出第一组提出的模型;以及比较组件,用于重新计算所提出的模型的所需数量以导出精确模型,如果 所提出的第一组模型的拟议模型比在推导第一组提出的模型之前导出的任何提出的模型更好地拟合数据集,并且确定是否在推导第一组提出的模型之后导出第二组提出的模型 提出的模型基于所需数量与包括第一组的先前导出的建议模型的量的比较。 描述和要求保护其他实施例。
    • 16. 发明申请
    • METHOD, APPARATUS AND SYSTEM OF VIDEO AND AUDIO SHARING AMONG COMMUNICATION DEVICES
    • 通信设备中视频和音频共享的方法,装置和系统
    • WO2014089732A1
    • 2014-06-19
    • PCT/CN2012/086260
    • 2012-12-10
    • INTEL CORPORATIONLI, QiangDU, YangzhouLI, WenlongTONG, XiaofengHU, WeiXU, LinZHANG, Yimin
    • LI, QiangDU, YangzhouLI, WenlongTONG, XiaofengHU, WeiXU, LinZHANG, Yimin
    • H04N7/52
    • H04L65/607G10L19/04H04N21/235H04N21/2368H04N21/242H04N21/4307H04N21/4341H04N21/435
    • A device, method and system of video and audio sharing among communication devices, may comprise a communication device for generating and sending a packet containing information related to the video and audio, and another communication device for receiving the packet and rendering the information related to the audio and video. In some embodiments, the communication device may comprise: an audio encoding module to encode a piece of audio into an audio bit stream; an avatar data extraction module to extract avatar data from a piece of video and generate an avatar data bit stream; and a synchronization module to generate synchronization information for synchronizing the audio bit stream with the avatar parameter stream. In some embodiments, the another communication device may comprise: an audio decoding module to decode an audio bit stream into decoded audio data; an Avatar animation module to animate an Avatar model based on an Avatar data bit stream to generate an animated Avatar model; and a synchronizing and rendering module to synchronize and render the decoded audio data and the animated Avatar model by utilizing the synchronization information.
    • 在通信设备之间的视频和音频共享的设备,方法和系统可以包括用于生成和发送包含与视频和音频有关的信息的分组的通信设备,以及用于接收分组并呈现与 音频和视频。 在一些实施例中,通信设备可以包括:音频编码模块,用于将音频片段编码成音频比特流; 一种化身数据提取模块,用于从一条视频中提取头像数据并生成化身数据比特流; 以及同步模块,用于生成用于使音频比特流与化身参数流同步的同步信息。 在一些实施例中,另一通信设备可以包括:音频解码模块,用于将音频比特流解码为解码的音频数据; Avatar动画模块,用于基于Avatar数据位流为Avatar模型生成动画Avatar模型; 以及同步和渲染模块,通过利用同步信息来同步和渲染解码的音频数据和动画化身模型。
    • 18. 发明申请
    • WIND TURBINE GENERATOR SYSTEM AND LIGHTNING PROTECTION DEVICE THEREOF
    • 风力涡轮发电机系统及其雷击保护装置
    • WO2013091380A1
    • 2013-06-27
    • PCT/CN2012/079189
    • 2012-07-26
    • XINJIANG GOLDWIND SCIENCE & TECHNOLOGY CO., LTD.VENSYS ENERGY AGHUANG, JinpengHINZ, UweLI, QiangGE, JunhaoYANG, Wei
    • HUANG, JinpengHINZ, UweLI, QiangGE, JunhaoYANG, Wei
    • F03D11/00H02G13/00
    • F03D80/30H02G13/80Y02E10/72
    • A lightning protection device for a wind turbine generator system includes at least a blade arrester (6), a down lead of a blade (7) connected to the blade arrester (6), a lightning-proof element of a pitch bearing, a lightning-proof element of a rotor bearing. The lightning-proof element of the pitch bearing is arranged at the blade root, with one end connected to the down lead of blade (7) and the other end connected to the lightning-proof element of the rotor bearing. The lightning protection device forms a lightning current conducting path passing through a cavity of the pitch bearing, a hollow of a rotor shaft and a cavity of the rotor bearing. A wind turbine generator system having the above mentioned lightning protection device is provided. The inventive lightning protection device and the wind turbine generator system can prevent the lightning current from flowing through the respective bearings in the wind turbine generator system and thereby the wind turbine generator system is protected efficiently. As a result, both the rate of failure and maintenance cost of the wind turbine generator system are reduced.
    • 一种用于风力涡轮发电机系统的防雷装置,至少包括叶片避雷器(6),连接到叶片避雷器(6)的叶片(7)的向下引线,俯仰轴承的防雷元件,闪电 转子轴承的元件。 变桨轴承的防雷元件设置在叶片根部,一端连接到叶片(7)的下引线,另一端连接到转子轴承的防雷元件。 雷电保护装置形成穿过变桨轴承的空腔的雷电流导电路径,转子轴的空心和转子轴承的空腔。 提供了具有上述防雷装置的风力发电机系统。 本发明的雷电保护装置和风力涡轮发电机系统可以防止雷电电流流过风力涡轮发电机系统中的相应轴承,从而有效地保护风力涡轮发电机系统。 结果,降低了风力发电机组的故障率和维护成本。
    • 20. 发明申请
    • TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION
    • 使用选定区域分类来跟踪和识别
    • WO2012139269A1
    • 2012-10-18
    • PCT/CN2011/072583
    • 2011-04-11
    • INTEL CORPORATIONWANG, TaoLI, JianguoDU, YangzhouLI, QiangZHANG, Yimin
    • WANG, TaoLI, JianguoDU, YangzhouLI, QiangZHANG, Yimin
    • G06K9/00
    • G06K9/00288G06K9/00221
    • Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.
    • 公开了与面部跟踪和识别有关的方法,装置和文章。 在实施例中,可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后,可以从面部的选定区域提取特征数据,以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后,可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值,则可以输出或以其他方式使用已知面部的识别。 此外,可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后,一个给定的被追踪的面孔可能与一个已知的面孔相关联。