会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 42. 发明申请
    • FACIAL MOVEMENT BASED AVATAR ANIMATION
    • 基于动画的动画
    • US20140218371A1
    • 2014-08-07
    • US13997271
    • 2012-12-17
    • Yangzhou DuWenlong LiXiaofeng TongWei HuYimin Zhang
    • Yangzhou DuWenlong LiXiaofeng TongWei HuYimin Zhang
    • G06T13/80
    • G06T13/40G06K9/00315G06T13/80H04N7/157
    • Avatars are animated using predetermined avatar images that are selected based on facial features of a user extracted from video of the user. A user's facial features are tracked in a live video, facial feature parameters are determined from the tracked features, and avatar images are selected based on the facial feature parameters. The selected images are then displayed are sent to another device for display. Selecting and displaying different avatar images as a user's facial movements change animates the avatar. An avatar image can be selected from a series of avatar images representing a particular facial movement, such as blinking. An avatar image can also be generated from multiple avatar feature images selected from multiple avatar feature image series associated with different regions of a user's face (eyes, mouth, nose, eyebrows), which allows different regions of the avatar to be animated independently.
    • 使用基于从用户的视频提取的用户的面部特征来选择的预定化身图像来动画化身。 在实时视频中跟踪用户的面部特征,根据跟踪的特征确定面部特征参数,并且基于面部特征参数选择头像图像。 然后将所选择的图像显示发送到另一个设备进行显示。 选择和显示不同的头像图像作为用户的面部动作变化动画化身。 可以从代表特定面部运动的一系列化身图像中选择化身图像,例如闪烁。 还可以从从用户脸部(眼睛,嘴,鼻,眉毛)的不同区域相关联的多个化身特征图像系列中选择的多个化身特征图像中生成化身图像,其允许化身的不同区域独立地动画化。
    • 43. 发明申请
    • NAKED-EYE 3D TV WALL
    • NAKED-EYE 3D电视墙
    • US20140139651A1
    • 2014-05-22
    • US14116833
    • 2011-06-24
    • Taiping JiangYangzhou Du
    • Taiping JiangYangzhou Du
    • H04N13/04
    • H04N13/324G02B27/2214H04N13/305H04N13/317
    • A naked-eye 3D TV wall is disclosed, which is composed of a full-color light-emitting diode (LED) display array and a slit grating (or a cylinder lens grating). The grating is placed in front of and parallel to the array, and a distance is made between the grating and the array. The grating direction of the array is provided as an oblique angle. A red, green and blue color LED tube are packed into one tube to make a full-color LED tube to emit full-color light, and the full-color LED tube is the element unit of the array. When a multi-view image is interlaced and displayed on the array, the resolution loss is shared in the horizontal and vertical directions. A 3D image will be watched on the wall without wearing special glasses.
    • 公开了一种裸眼3D电视墙,其由全色发光二极管(LED)显示阵列和狭缝光栅(或柱面透镜光栅)组成。 光栅被放置在阵列的前面并平行,并且在光栅和阵列之间形成一定距离。 阵列的光栅方向被设置为倾斜角。 一个红色,绿色和蓝色LED灯管装入一根管子,使全色LED管发出全色光,全色LED灯管是阵列的元件单元。 当多视图图像隔行扫描并显示在阵列上时,分辨率损失在水平和垂直方向共享。 墙壁上将会看到3D图像,而不要戴特殊的眼镜。
    • 49. 发明授权
    • Tracking and recognition of faces using selected region classification
    • 使用选择的区域分类来跟踪和识别面部
    • US09489567B2
    • 2016-11-08
    • US13996496
    • 2011-04-11
    • Tao WangJianguo LiYangzhou DuQiang LiYimin Zhang
    • Tao WangJianguo LiYangzhou DuQiang LiYimin Zhang
    • G06K9/00
    • G06K9/00288G06K9/00221
    • Methods, apparatuses, and articles associated with facial tracking and recognition are disclosed. In embodiments, facial images may be detected in video or still images and tracked. After normalization of the facial images, feature data may be extracted from selected regions of the faces to compare to associated feature data in known faces. The selected regions may be determined using a boosting machine learning processes over a set of known images. After extraction, individual two-class comparisons may be performed between corresponding feature data from regions on the tested facial images and from the known facial image. The individual two-class classifications may then be combined to determine a similarity score for the tested face and the known face. If the similarity score exceeds a threshold, an identification of the known face may be output or otherwise used. Additionally, tracking with voting may be performed on faces detected in video. After a threshold of votes is reached, a given tracked face may be associated with a known face.
    • 公开了与面部跟踪和识别有关的方法,装置和文章。 在实施例中,可以在视频或静止图像中检测面部图像并进行跟踪。 在面部图像归一化之后,可以从面部的选定区域提取特征数据,以与已知面部中的相关特征数据进行比较。 可以使用一组已知图像上的升压机学习处理来确定所选择的区域。 提取后,可以在来自所测试的面部图像上的区域和来自已知面部图像的相应特征数据之间进行单独的两类比较。 然后可以组合个体两类分类以确定测试面部和已知面部的相似性得分。 如果相似性分数超过阈值,则可以输出或以其他方式使用已知面部的识别。 此外,可以对在视频中检测到的脸部进行投票跟踪。 在达成一个选票之后,一个给定的被追踪的面孔可能与一个已知的面孔相关联。