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    • 5. 发明授权
    • Visual object tracking method
    • 可视对象跟踪方法
    • US09171229B2
    • 2015-10-27
    • US14184829
    • 2014-02-20
    • MING CHUAN UNIVERSITY
    • Chaur-Heh HsiehShu-Wei Chou
    • G06K9/00G06K9/62G06K9/46G06T7/40H04N5/225
    • G06K9/6202G06K9/00234G06K9/00624G06K9/4647G06K9/6212G06T7/20G06T7/277G06T7/90G06T2207/20076G06T2207/20104
    • A visual object tracking method includes the steps of: setting an object window having a target in a video image; defining a search window greater than the object window; analyzing an image pixel of the object window to generate a color histogram for defining a color filter which includes a dominant color characteristic of the target; using the color filter to generate an object template and a dominant color map in the object window and the search window respectively, the object template including a shape characteristic of the target, the dominant color map including at least one candidate block; comparing the similarity between the object template and the candidate block to obtain a probability distribution map, and using the probability distribution map to compute the mass center of the target. The method generates the probability map by the color and shape characteristics to compute the mass center.
    • 视觉对象跟踪方法包括以下步骤:在视频图像中设置具有目标的对象窗口; 定义大于对象窗口的搜索窗口; 分析对象窗口的图像像素以生成用于定义包括目标的主色特征的滤色器的颜色直方图; 使用所述滤色器分别在所述对象窗口和所述搜索窗口中生成对象模板和主色图,所述对象模板包括所述目标的形状特征,所述主色图包括至少一个候选块; 比较对象模板和候选块之间的相似度,以获得概率分布图,并使用概率分布图计算目标的质心。 该方法通过颜色和形状特征生成概率图,以计算质心。
    • 8. 发明授权
    • Virtual glasses try-on method and apparatus thereof
    • 虚拟眼镜试用方法及其装置
    • US08919955B2
    • 2014-12-30
    • US13922408
    • 2013-06-20
    • Ming Chuan University
    • Chaur-Heh HsiehWan-Yu HuangJeng-Sheng Yeh
    • A61B3/10A61B3/00
    • G02C13/003
    • Disclosed are virtual glasses try-on method and apparatus, and the apparatus includes an image capturing unit for capturing a user's image and a processing device for detecting a face image from the user's image, storing a glasses model, defining a first feature point of a lens of the glasses model and a second feature point at the center of a frame, and obtaining vertical vectors of the first and second feature points to find a third feature point. Two eye images are searched and binarized into a binarized picture that is divided into an eye area and a non-eye area. A center point between first and second extreme values is found, and vertical vectors of the first extreme value and the center point are obtained to find an example point. An affine transformation of the feature points is performed and attached to the face image to form a try-on image.
    • 公开了虚拟眼镜尝试方法和装置,并且该装置包括用于捕获用户图像的图像捕获单元和用于从用户图像检测面部图像的处理装置,存储眼镜模型,定义第一特征点 并且获得第一和第二特征点的垂直向量以找到第三特征点。 搜索两个眼睛图像并将其二值化为分为眼睛区域和非眼睛区域的二值化图像。 找到第一和第二极值之间的中心点,并获得第一极值和中心点的垂直向量以找到示例点。 执行特征点的仿射变换并附加到面部图像以形成试用图像。