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1. 发明申请

US20070126675A1 Detecting and eliminating method for ghosting effect of LCD 有权
标题翻译： LCD的重影效果的检测和消除方法
公开(公告)号：US20070126675A1
公开(公告)日：2007-06-07
申请号：US11293456
申请日：2005-12-02
申请人： Chao-Hua Lee , Jong-Dae Oh , Xiao-Song Zhou , C.-C. Kuo
发明人： Chao-Hua Lee , Jong-Dae Oh , Xiao-Song Zhou , C.-C. Kuo
IPC分类号： G09G3/36
CPC分类号： G09G3/3648 , G09G2320/0252 , G09G2320/0261 , G09G2340/16
摘要： Methods for detecting and eliminating a ghosting effect of liquid crystal display (LCD) are disclosed. The ghosting effect detecting method comprises the steps of providing a visual persistency period, providing a maximum color alternation speed of the LCD, obtaining a threshold value by multiplying the human visual persistency period by the maximum color alternation speed, calculating a variation of an intensity level of each of the plurality of pixel components of the LCD and comparing the threshold value and the variation of the intensity level to obtain a comparison result to determine whether the ghosting effect exists in the pixel component.
摘要翻译：公开了用于检测和消除液晶显示器（LCD）的重影效果的方法。重影效果检测方法包括以下步骤：提供视觉持续时间，提供LCD的最大颜色交替速度，通过将人类视觉持续时间乘以最大颜色交替速度获得阈值，计算强度级别的变化并且比较阈值和强度级别的变化，以获得比较结果，以确定是否存在重像效应在像素分量中。

2. 发明授权

US09792866B2 Detecting and eliminating method for ghosting effect of LCD 有权
公开(公告)号：US09792866B2
公开(公告)日：2017-10-17
申请号：US11293456
申请日：2005-12-02
申请人： Chao-Hua Lee , Jong-Dae Oh , Xiao-Song Zhou , C.-C. Jay Kuo
发明人： Chao-Hua Lee , Jong-Dae Oh , Xiao-Song Zhou , C.-C. Jay Kuo
IPC分类号： G09G3/36
CPC分类号： G09G3/3648 , G09G2320/0252 , G09G2320/0261 , G09G2340/16
摘要： Methods for detecting and eliminating a ghosting effect of liquid crystal display (LCD) are disclosed. The ghosting effect detecting method comprises the steps of providing a visual persistency period, providing a maximum color alternation speed of the LCD, obtaining a threshold value by multiplying the human visual persistency period by the maximum color alternation speed, calculating a variation of an intensity level of each of the plurality of pixel components of the LCD and comparing the threshold value and the variation of the intensity level to obtain a comparison result to determine whether the ghosting effect exists in the pixel component.

3. 发明申请

US20130257851A1 PIPELINE WEB-BASED PROCESS FOR 3D ANIMATION 审中-公开
标题翻译：用于3D动画的基于WEB的流程
公开(公告)号：US20130257851A1
公开(公告)日：2013-10-03
申请号：US13436986
申请日：2012-04-01
申请人： Chao-Hua Lee , Yu-Ping Lin , Wei-Kai Liao
发明人： Chao-Hua Lee , Yu-Ping Lin , Wei-Kai Liao
IPC分类号： G06T15/00
CPC分类号： H04N13/261 , H04N13/194
摘要： An integrated 3D conversion device which utilizes a web-based network includes: a front-end device, for utilizing manual rendering techniques on a first set of data of a video stream received via a user interface of the web-based network to generate depth information, and updating the depth information according to at least a first information received via the user interface; and a server-end device, coupled to the front-end device via the user interface, for receiving the depth information from the front-end device and utilizing the depth information to automatically generate depth information for a second set of data of the video stream, and generating stereo views of the first set of data and the second set of data according to at least a second information received via the user interface.
摘要翻译：利用基于网络的网络的集成3D转换设备包括：前端设备，用于在经由基于网络的网络的用户界面接收的视频流的第一组数据上利用手动渲染技术来生成深度信息并且根据至少经由所述用户界面接收到的第一信息来更新所述深度信息; 以及服务器端设备，经由用户接口耦合到前端设备，用于从前端设备接收深度信息，并利用深度信息自动生成视频流的第二组数据的深度信息以及根据经由所述用户界面接收到的至少第二信息，生成所述第一组数据和所述第二组数据的立体视图。

4. 发明申请

US20120147014A1 METHOD FOR EXTRACTING PERSONAL STYLES AND ITS APPLICATION TO MOTION SYNTHESIS AND RECOGNITION 审中-公开
标题翻译：提取个人风格的方法及其运动合成与识别的应用
公开(公告)号：US20120147014A1
公开(公告)日：2012-06-14
申请号：US13290118
申请日：2011-11-06
申请人： Chao-Hua Lee
发明人： Chao-Hua Lee
IPC分类号： G06T13/00
CPC分类号： G06T13/40 , G06K9/00348
摘要： Disclosed is a method for automatically extracting personal styles from captured motion data. The inventive method employs wavelet analysis to extract the captured motion vector of different actors into wavelet coefficients, and thus forms a feature vector by optimization selection, which is used later for identification purposes. When the inventive method is applied to process animation frames, the performance can be evaluated by grouping and classification matrix without any correlation with the type of the motion. Also, even if the type of the motion is not stored in the database in advance, the motions of the actor can still be recognized by a learning module regardless of the type of the motions.
摘要翻译：公开了一种用于从捕获的运动数据自动提取个人风格的方法。本发明的方法采用小波分析将捕获的不同演员的运动矢量提取为小波系数，从而通过优化选择形成特征向量，后来用于识别。当将本发明的方法应用于处理动画帧时，可以通过分组和分类矩阵来评估表现，而不与运动的类型相关。此外，即使运动的类型未预先存储在数据库中，运动的运动仍然可以由学习模块识别，而不管运动的类型如何。

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