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    • 36. 发明授权
    • Structure for optical device and method of fabricating the same
    • 光学装置的结构及其制造方法
    • US07338825B2
    • 2008-03-04
    • US11190284
    • 2005-07-26
    • Sang Hyeob KimKi Chul KimHye Jin Kim
    • Sang Hyeob KimKi Chul KimHye Jin Kim
    • H01L21/00
    • G11B7/26B82Y10/00G11B7/00454G11B7/00455G11B7/0052G11B7/1275H01L2933/0091
    • Provided are a structure for an optical device and method of fabricating the same. The structure includes: a light scattering layer producing nanoparticles due to externally provided thermal energy; a protective layer protecting the light scattering layer; and a capping layer disposed between the light scattering layer and the protective layer. As the light scattering layer is formed of nitride-oxide, an energy gap is increased to make the structure suitable for a high-speed electronic circuit, and a desired stoichiometric ratio can be easily obtained. Also, the capping layer prevents crystalline mismatch, thus the non-uniformity of elements is inhibited to maintain a stoichiometric state. As a result, a high-integrated high-speed electronic circuit, which is excellent in uniformity and reproducibility, can be easily embodied.
    • 提供了一种用于光学器件的结构及其制造方法。 该结构包括:由外部提供的热能产生纳米颗粒的光散射层; 保护光散射层的保护层; 以及设置在光散射层和保护层之间的覆盖层。 由于光散射层由氮化物氧化物形成,因此能量间隙增大,使得该结构适合于高速电子电路,并且可以容易地获得所需的化学计量比。 此外,封盖层防止晶体失配,因此元件的不均匀性被抑制以维持化学计量状态。 结果,可以容易地实现均匀性和再现性优异的高集成度高速电子电路。
    • 37. 发明申请
    • METHOD AND APPARATUS FOR SHOULDER-LINE DETECTION AND GESTURE SPOTTING DETECTION
    • 方法和装置用于肩部线检测和姿势检测
    • US20080037875A1
    • 2008-02-14
    • US11673696
    • 2007-02-12
    • Hye Jin KIMHo Sub YOONDo Hyung KIMJae Yeon LEE
    • Hye Jin KIMHo Sub YOONDo Hyung KIMJae Yeon LEE
    • G06K9/48
    • G06K9/00335
    • 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.
    • 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。