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    • 3. 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。
    • 5. 发明申请
    • AVATAR-BASED VIDEO ENCODING
    • 基于AVATAR的视频编码
    • US20150213604A1
    • 2015-07-30
    • US14127457
    • 2013-06-04
    • Wenlong LIYangzhou DUXiaofeng TONGINTEL CORPORATION
    • Wenlong LiYangzhou DuXiaofeng Tong
    • G06T7/00G06T13/40G06K9/00G06T13/80
    • G06T7/73G06K9/00281G06K9/00315G06T13/40G06T13/80G06T2207/30201H04N7/147H04N7/157
    • Techniques are disclosed for performing avatar-based video encoding. In some embodiments, a video recording of an individual may be encoded utilizing an avatar that is driven by the facial expression(s) of the individual. In some such cases, the resultant avatar animation may accurately mimic facial expression(s) of the recorded individual. Some embodiments can be used, for example, in video sharing via social media and networking websites. Some embodiments can be used, for example, in video-based communications (e.g., peer-to-peer video calls; videoconferencing). In some instances, use to the disclosed techniques may help to reduce communications bandwidth use, preserve the individual's anonymity, and/or provide enhanced entertainment value (e.g., amusement) for the individual, for example.
    • 公开了用于执行基于图像的视频编码的技术。 在一些实施例中,可以使用由个人的面部表情驱动的头像来编码个人的视频记录。 在某些这种情况下,所得到的化身动画可以准确地模拟记录的个人的面部表情。 一些实施例可以用于例如通过社交媒体和网络网站的视频共享。 一些实施例可以用于例如基于视频的通信(例如,对等视频通话;视频会议)中。 在某些情况下,例如,使用所公开的技术可以有助于减少个人的通信带宽使用,保留个人的匿名性和/或提供增强的娱乐价值(例如,娱乐)。
    • 7. 发明申请
    • TRACKING AND RECOGNITION OF FACES USING SELECTED REGION CLASSIFICATION
    • 使用选定区域分类来跟踪和识别
    • US20140241574A1
    • 2014-08-28
    • 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。