Method of manufacturing semiconductor device over SOI substrate
    41.
    发明授权
    Method of manufacturing semiconductor device over SOI substrate 有权
    在SOI衬底上制造半导体器件的方法

    公开(公告)号:US08198145B2

    公开(公告)日:2012-06-12

    申请号:US12495708

    申请日:2009-06-30

    Applicant: Jae Yeon Lee

    Inventor: Jae Yeon Lee

    Abstract: The present invention relates to a method of manufacturing a semiconductor memory device and a semiconductor memory device manufactured using the same. A method of manufacturing a semiconductor device comprises defining source/drain regions in semiconductor substrate through an etch process using a mask, and forming a gate and source/drain by depositing a conductive material over the defined regions and the semiconductor substrate and patterning the conductive material.

    Abstract translation: 本发明涉及制造半导体存储器件的方法和使用该半导体存储器件制造的半导体存储器件。 制造半导体器件的方法包括通过使用掩模的蚀刻工艺来限定半导体衬底中的源极/漏极区域,以及通过在限定的区域和半导体衬底上沉积导电材料并形成导电材料来形成栅极和源极/漏极 。

    Method and apparatus for motion estimation using adaptive search pattern for video sequence compression
    43.
    发明授权
    Method and apparatus for motion estimation using adaptive search pattern for video sequence compression 有权
    用于视频序列压缩的自适应搜索模式的运动估计方法和装置

    公开(公告)号:US07773673B2

    公开(公告)日:2010-08-10

    申请号:US10532219

    申请日:2003-10-13

    CPC classification number: H04N5/145 H04N19/533 H04N19/57

    Abstract: In a method for motion estimation using adaptive patterns in a video sequence compression system, an initial search pattern located at a center of a search window in a block of a video frame is determined. A location of a minimum block distortion measure (BDM) is searched in the initial search pattern. A horizontal search pattern for functioning on the search window is determined in the horizontal direction to search a location of a minimum BDM in the horizontal search pattern. A vertical search pattern for operating on the search window is determined in the vertical direction to search a location of a minimum BDM in the vertical search pattern. The location of the minimum BDM in each pattern is designated to be a motion vector. A search pattern to be used in a subsequent searching stage is determined based on the location of the minimum BDM in each pattern.

    Abstract translation: 在使用视频序列压缩系统中的自适应模式的运动估计方法中,确定位于视频帧块中搜索窗口中心的初始搜索模式。 在初始搜索模式中搜索最小块失真度量(BDM)的位置。 在水平方向上确定在搜索窗口上起作用的水平搜索模式,以搜索水平搜索模式中最小BDM的位置。 在垂直方向上确定用于在搜索窗口上操作的垂直搜索模式,以搜索垂直搜索模式中最小BDM的位置。 每个图案中最小BDM的位置被指定为运动矢量。 基于每个图案中最小BDM的位置来确定在随后的搜索阶段中使用的搜索模式。

    User recognition system and method thereof
    44.
    发明授权
    User recognition system and method thereof 失效
    用户识别系统及其方法

    公开(公告)号:US07734067B2

    公开(公告)日:2010-06-08

    申请号:US11291605

    申请日:2005-12-01

    CPC classification number: G06K9/00288 G06K9/6255

    Abstract: In realizing a user recognition system and a method thereof, a user feature vector is extracted from an input facial image, and at least one cluster is generated and a user feature template is enrolled. The cluster includes the feature vector as a member of it. When a user facial image is inputted, a user feature vector is extracted from the image, and a similarity between the feature vector and the user feature template is calculated. When the similarity is greater than a predetermined threshold value, a user of the user feature template is recognized as the user of the input image.

    Abstract translation: 在实现用户识别系统及其方法中,从输入面部图像中提取用户特征向量,并且生成至少一个群集,并登记用户特征模板。 集群包括作为其成员的特征向量。 当输入用户面部图像时,从图像中提取用户特征向量,并且计算特征向量与用户特征模板之间的相似度。 当相似度大于预定阈值时,将用户特征模板的用户识别为输入图像的用户。

    Target detecting system and method
    45.
    发明授权
    Target detecting system and method 失效
    目标检测系统及方法

    公开(公告)号:US07688999B2

    公开(公告)日:2010-03-30

    申请号:US11287936

    申请日:2005-11-28

    CPC classification number: H04N5/232 G06K9/00362 G06T7/246

    Abstract: A target detecting system and method for detecting a target from an input image is provided. According to the target detecting system and method, when a target is detected from an input image and there are moving areas in the input image, camera movement parameters are obtained, image frames are transformed, and movement candidate areas are extracted from the image frame and the previous input image frame. In addition, image feature information is extracted from the input image, and based on the movement candidate areas and the image feature information a shape of the target is extracted. Therefore, the target can be exactly and rapidly extracted and tracked.

    Abstract translation: 提供了一种从输入图像中检测目标的目标检测系统和方法。 根据目标检测系统和方法,当从输入图像检测到目标并且在输入图像中存在移动区域时,获得相机移动参数,变换图像帧,并且从图像帧中提取移动候选区域,并且 以前的输入图像帧。 此外,从输入图像中提取图像特征信息,并且基于移动候选区域和图像特征信息,提取目标的形状。 因此,可以准确,快速地提取和跟踪目标。

    HUMAN RECOGNITION APPARATUS AND HUMAN RECOGNITION METHOD
    46.
    发明申请
    HUMAN RECOGNITION APPARATUS AND HUMAN RECOGNITION METHOD 有权
    人类识别装置和人类识别方法

    公开(公告)号:US20100070187A1

    公开(公告)日:2010-03-18

    申请号:US12362992

    申请日:2009-01-30

    CPC classification number: G01H17/00 G06K9/00348 G06K9/0053

    Abstract: Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

    Abstract translation: 提供了基于步行模式识别用户的人类识别装置和人类识别方法。 人体识别装置包括检测单元,用于根据用户的步行检测振动,并从电信号中输出电信号,图案计算单元获取步行模式;以及用户确定单元,将步行模式与先前测量 用户参考数据,并根据比较结果识别用户。 人类识别装置和人类识别方法对于外围噪声是鲁棒的,并且可以通过使用作为用户识别数据的不需要大量数据吞吐量的一维时间信息的波动模式,通过简单的结构和过程来提高接受率 。

    METHOD OF MANUFACTURING SEMICONDUCTOR DEVICE
    47.
    发明申请
    METHOD OF MANUFACTURING SEMICONDUCTOR DEVICE 有权
    制造半导体器件的方法

    公开(公告)号:US20100052054A1

    公开(公告)日:2010-03-04

    申请号:US12495708

    申请日:2009-06-30

    Applicant: Jae Yeon Lee

    Inventor: Jae Yeon Lee

    Abstract: The present invention relates to a method of manufacturing a semiconductor memory device and a semiconductor memory device manufactured using the same. A method of manufacturing a semiconductor device comprises defining source/drain regions in semiconductor substrate through an etch process using a mask, and forming a gate and source/drain by depositing a conductive material over the defined regions and the semiconductor substrate and patterning the conductive material.

    Abstract translation: 本发明涉及制造半导体存储器件的方法和使用该半导体存储器件制造的半导体存储器件。 制造半导体器件的方法包括通过使用掩模的蚀刻工艺来限定半导体衬底中的源极/漏极区域,以及通过在限定的区域和半导体衬底上沉积导电材料并形成导电材料来形成栅极和源极/漏极 。

    METHOD AND APPARATUS FOR SHOULDER-LINE DETECTION AND GESTURE SPOTTING DETECTION
    49.
    发明申请
    METHOD AND APPARATUS FOR SHOULDER-LINE DETECTION AND GESTURE SPOTTING DETECTION 有权
    方法和装置用于肩部线检测和姿势检测

    公开(公告)号:US20080037875A1

    公开(公告)日:2008-02-14

    申请号:US11673696

    申请日:2007-02-12

    CPC classification number: G06K9/00335

    Abstract: A gesture spotting detection method and apparatus employ a shoulder-line algorithm. The shoulder-line detecting method recognizes a GSD calling gesture that occurs in a shoulder-line, head or higher part in a remote distance or a short distance, although a user does not have a fixed posture. In the method, an image of people is received, and skin information of a person in the image is detected to detect a face area. Then, the cloth color information of the person is modeled from the inputted image to detect a cloth area. An external space is defined from the image based on the body space area, and an edge is extracted from the image based on the body space and the external space. Then, shoulder-line information is acquired based on an energy function obtained based on the body space, the external space, and the edge.

    Abstract translation: 手势点检测方法和装置采用肩线算法。 肩线检测方法识别在远程或短距离的肩线,头部或更高部分中发生的GSD呼叫手势,尽管用户不具有固定姿势。 在该方法中,接收人的图像,并且检测图像中的人的皮肤信息以检测面部区域。 然后,根据输入的图像对人的布颜色信息进行建模,以检测布面积。 基于身体空间区域从图像中定义外部空间,并且基于身体空间和外部空间从图像提取边缘。 然后,基于基于体空间,外部空间和边缘获得的能量函数来获取肩线信息。

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