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    • 2. 发明申请
    • Detect-point-click (DPC) based gaming systems and techniques
    • 基于检测点击(DPC)的游戏系统和技术
    • US20060035709A1
    • 2006-02-16
    • US10915181
    • 2004-08-10
    • Zicheng LiuYong Rui
    • Zicheng LiuYong Rui
    • A63F13/00
    • A63F13/52A63F13/10A63F13/80A63F2300/66A63F2300/8064
    • Disclosed are a unique DPC (detect point click) based game system and method. The DPC based game system involves generating one or a plurality of DPC images, presenting them to a game participant, and collecting the participant's clicks (that identify which object in the DPC image the participant believes to be the correct DPC object), and determining whether the participant's clicks represent the correct object. DPC images can be created in part by selecting a base image, altering some portion of the base image to create at least one confusion image, mapping these images to a geometric model, and applying one or more distortion filters to at least one of the base or confusing image to obscure the DPC object from clear view. Locating the DPC object nearly hidden in the DPC image can advance the participant in the DPC based game or other game including DPC images as a part thereof.
    • 公开了一种基于独特的DPC(检测点点击)的游戏系统和方法。 基于DPC的游戏系统涉及生成一个或多个DPC图像,将其呈现给游戏参与者,并收集参与者的点击(识别参与者认为是正确的DPC对象的DPC图像中的哪个对象),以及确定是否 参与者的点击代表正确的对象。 DPC图像可以部分地通过选择基本图像来创建,改变基本图像的一些部分以创建至少一个混淆图像,将这些图像映射到几何模型,以及将一个或多个失真滤波器应用于基底中的至少一个 或令人困惑的图像从清晰的视图来掩盖DPC对象。 将DPC对象几乎隐藏在DPC图像中可以将参与者推送到基于DPC的游戏或其他游戏中,其中包括DPC图像作为其一部分。
    • 3. 发明授权
    • Detect-point-click (DPC) based gaming systems and techniques
    • 基于检测点击(DPC)的游戏系统和技术
    • US07892079B2
    • 2011-02-22
    • US10915181
    • 2004-08-10
    • Zicheng LiuYong Rui
    • Zicheng LiuYong Rui
    • A63F13/00
    • A63F13/52A63F13/10A63F13/80A63F2300/66A63F2300/8064
    • Disclosed are a unique DPC (detect point click) based game system and method. The DPC based game system involves generating one or a plurality of DPC images, presenting them to a game participant, and collecting the participant's clicks (that identify which object in the DPC image the participant believes to be the correct DPC object), and determining whether the participant's clicks represent the correct object. DPC images can be created in part by selecting a base image, altering some portion of the base image to create at least one confusion image, mapping these images to a geometric model, and applying one or more distortion filters to at least one of the base or confusing image to obscure the DPC object from clear view. Locating the DPC object nearly hidden in the DPC image can advance the participant in the DPC based game or other game including DPC images as a part thereof.
    • 公开了一种基于独特的DPC(检测点点击)的游戏系统和方法。 基于DPC的游戏系统涉及生成一个或多个DPC图像,将其呈现给游戏参与者,并收集参与者的点击(识别参与者认为是正确的DPC对象的DPC图像中的哪个对象),以及确定是否 参与者的点击代表正确的对象。 DPC图像可以部分地通过选择基本图像来创建,改变基本图像的一些部分以创建至少一个混淆图像,将这些图像映射到几何模型,以及将一个或多个失真滤波器应用于基底中的至少一个 或令人困惑的图像从清晰的视图来掩盖DPC对象。 将DPC对象几乎隐藏在DPC图像中可以将参与者推送到基于DPC的游戏或其他游戏中,其中包括DPC图像作为其一部分。
    • 7. 发明授权
    • Background blurring for video conferencing
    • 视频会议背景模糊
    • US07783075B2
    • 2010-08-24
    • US11422693
    • 2006-06-07
    • Cha ZhangLi-wei HeYong Rui
    • Cha ZhangLi-wei HeYong Rui
    • G06K9/00G06K9/34G06K9/40
    • G06K9/00228H04N7/147
    • Background blurring is an effective way to both preserve privacy and keep communication effective during video conferencing. The present image background blurring technique is a light weight real-time technique to perform background blurring using a fast background modeling procedure combined with an object (e.g., face) detector/tracker. A soft decision is made at each pixel whether it belongs to the foreground or the background based on multiple vision features. The classification results are mapped to a per-pixel blurring radius image to blur the background. In another embodiment, the image background blurring technique blurs the background of the image without using the object detector.
    • 背景模糊是在视频会议中保持隐私和保持通信有效的有效方式。 目前的图像背景模糊技术是使用与对象(例如脸部)检测器/跟踪器组合的快速背景建模过程来执行背景模糊的轻量级实时技术。 基于多个视觉特征,在每个像素上做出软判决是否属于前景或背景。 分类结果映射到每像素模糊半径图像以模糊背景。 在另一个实施例中,图像背景模糊技术在不使用对象检测器的情况下模糊图像的背景。