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    • 51. 发明授权
    • Multi-device capture and spatial browsing of conferences
    • 会议的多设备捕获和空间浏览
    • US08537196B2
    • 2013-09-17
    • US12245774
    • 2008-10-06
    • Rajesh K. HegdeZhengyou ZhangPhilip A. ChouCha ZhangZicheng LiuSasa Junuzovic
    • Rajesh K. HegdeZhengyou ZhangPhilip A. ChouCha ZhangZicheng LiuSasa Junuzovic
    • H04N7/14G06F15/16G06F3/48
    • H04N7/157H04N7/147
    • Multi-device capture and spatial browsing of conferences is described. In one implementation, a system detects cameras and microphones, such as the webcams on participants' notebook computers, in a conference room, group meeting, or table game, and enlists an ad-hoc array of available devices to capture each participant and the spatial relationships between participants. A video stream composited from the array is browsable by a user to navigate a 3-dimensional representation of the meeting. Each participant may be represented by a video pane, a foreground object, or a 3-D geometric model of the participant's face or body displayed in spatial relation to the other participants in a 3-dimensional arrangement analogous to the spatial arrangement of the meeting. The system may automatically re-orient the 3-dimensional representation as needed to best show the currently interesting event such as current speaker or may extend navigation controls to a user for manually viewing selected participants or nuanced interactions between participants.
    • 描述会议的多设备捕获和空间浏览。 在一个实现中,系统检测相机和麦克风,例如参与者的笔记本计算机上的网络摄像机,会议室,组会议或桌面游戏,并且招募可用设备的特设阵列以捕获每个参与者和空间 参与者之间的关系。 从阵列合成的视频流可由用户浏览以浏览会议的三维表示。 每个参与者可以以类似于会议的空间安排的三维布置的视频窗格,前景对象或与其他参与者以空间关系显示的三维几何模型来表示。 该系统可以根据需要自动重新定向三维表示,以最佳地显示当前有趣的事件,例如当前的扬声器,或者可以将导航控件扩展到用户,以便手动地观看选定的参与者或参与者之间微妙的交互。
    • 52. 发明申请
    • HEAD POSE TRACKING USING A DEPTH CAMERA
    • 使用深度摄像机的头部跟踪
    • US20130201291A1
    • 2013-08-08
    • US13369168
    • 2012-02-08
    • Zicheng LiuZhengyou ZhangZhenning Li
    • Zicheng LiuZhengyou ZhangZhenning Li
    • H04N13/02
    • G06F3/012G06T7/74G06T2207/10028G06T2207/30244
    • Head pose tracking technique embodiments are presented that use a group of sensors configured so as to be disposed on a user's head. This group of sensors includes a depth sensor apparatus used to identify the three dimensional locations of features within a scene, and at least one other type of sensor. Data output by each sensor in the group of sensors is periodically input, and each time the data is input it is used to compute a transformation matrix that when applied to a previously determined head pose location and orientation established when the first sensor data was input identifies a current head pose location and orientation. This transformation matrix is then applied to the previously determined head pose location and orientation to identify a current head pose location and orientation.
    • 提出了头部姿势跟踪技术实施例,其使用被配置为设置在用户头部上的一组传感器。 该组传感器包括用于识别场景内的特征的三维位置的深度传感器装置和至少一种其它类型的传感器。 周期性地输入传感器组中的每个传感器的数据输出,并且每次输入数据时,它用于计算当应用于当输入第一传感器数据时确定的先前确定的头姿势位置和方向的变换矩阵 当前的头部姿势位置和方位。 然后将该变换矩阵应用于先前确定的头部姿势位置和方向以识别当前头部姿势位置和姿态。
    • 54. 发明授权
    • Segmentation of objects by minimizing global-local variational energy
    • 通过最小化全局局部变分能量来分割对象
    • US07706610B2
    • 2010-04-27
    • US11291309
    • 2005-11-29
    • Zhengyou ZhangZicheng LiuGang Hua
    • Zhengyou ZhangZicheng LiuGang Hua
    • G06K9/34G06K9/46G06K9/66G06K9/48
    • G06K9/38G06K9/6226G06T7/11G06T7/143G06T7/149G06T2207/20116
    • An “Image Segmenter” provides a variational energy formulation for segmentation of natural objects from images. In general, the Image Segmenter operates by adopting Gaussian mixture models (GMM) to capture the appearance variation of objects in one or more images. A global image data likelihood potential is then computed and combined with local region potentials to obtain a robust and accurate estimation of pixel foreground and background distributions. Iterative minimization of a “global-local energy function” is then accomplished by evolution of a foreground/background boundary curve by level set, and estimation of a foreground/background model by fixed-point iteration, termed “quasi-semi-supervised EM.” In various embodiments, this process is further improved by providing general object shape information for use in rectifying objects segmented from the image.
    • “图像分割器”提供了用于从图像中分割自然对象的变分能量公式。 通常,图像分割器通过采用高斯混合模型(GMM)来捕获一个或多个图像中的对象的外观变化来操作。 然后计算全局图像数据可能性电位并与局部区域电位组合以获得对像素前景和背景分布的鲁棒且准确的估计。 “全局局部能量函数”的迭代最小化通过水平集演化前景/背景边界曲线,并通过称为“准半监督EM”的定点迭代估计前景/背景模型来实现。 “在各种实施例中,通过提供用于整流从图像分割的对象的一般对象形状信息来进一步改进该过程。
    • 55. 发明申请
    • LIGHTING ARRAY CONTROL
    • 照明阵列控制
    • US20090185358A1
    • 2009-07-23
    • US12017047
    • 2008-01-21
    • Zicheng LiuMingxuan SunJingyu QiuZhengyou ZhangMichael J. Sinclair
    • Zicheng LiuMingxuan SunJingyu QiuZhengyou ZhangMichael J. Sinclair
    • G03B15/02
    • G03B15/02
    • A subject captured by a camera may be affected by environmental lighting provided by nearby light sources and the sun or moon, which may cause underexposure or overexposure of the image or aesthetically displeasing color tones. Image processing and camera adjustments may mitigate some imaging problems with limited effect and introduce undesirable side effects. A lighting array may be devised to expose the subject to various types of light (e.g., white light comprising full spectrum illumination and red, green, and blue lights comprising partial spectrum illumination) to resolve lighting problems in a more effective manner. Moreover, the lighting array may be responsively controlled to adjust the subject image with respect to one or more target spectra specifying desirable colors for the subject image. The lighting array may be iteratively controlled, e.g. by a gradient descent algorithm, for incrementally adjusting parameters with respect to proximate target spectra for the image.
    • 由相机拍摄的被摄体可能会受到附近光源和太阳或月亮所提供的环境照明的影响,这可能会导致图像曝光不足或过度曝光或美观上不悦色调。 图像处理和相机调整可以以有限的效果减轻一些成像问题,并引入不期望的副作用。 可以设计照明阵列以将对象暴露于各种类型的光(例如,包括全光谱照明的白光和包括部分光谱照明的红色,绿色和蓝色光)以更有效的方式解决照明问题。 此外,可以响应地控制照明阵列以相对于为目标图像指定所需颜色的一个或多个目标光谱来调整被摄体图像。 可以迭代地控制照明阵列,例如。 通过梯度下降算法,用于相对于图像的近似目标光谱递增调整参数。
    • 57. 发明申请
    • RECOVERING PARAMETERS FROM A SUB-OPTIMAL IMAGE
    • 从子最佳图像恢复参数
    • US20080279423A1
    • 2008-11-13
    • US11747695
    • 2007-05-11
    • Zhengyou ZhangZicheng LiuGang HuaYang Wang
    • Zhengyou ZhangZicheng LiuGang HuaYang Wang
    • G06K9/00
    • G06K9/00268G06K9/4661G06T7/11G06T2207/30201
    • A subregion-based image parameter recovery system and method for recovering image parameters from a single image containing a face taken under sub-optimal illumination conditions. The recovered image parameters (including albedo, illumination, and face geometry) can be used to generate face images under a new lighting environment. The method includes dividing the face in the image into numerous smaller regions, generating an albedo morphable model for each region, and using a Markov Random Fields (MRF)-based framework to model the spatial dependence between neighboring regions. Different types of regions are defined, including saturated, shadow, regular, and occluded regions. Each pixel in the image is classified and assigned to a region based on intensity, and then weighted based on its classification. The method decouples the texture from the geometry and illumination models, and then generates an objective function that is iteratively solved using an energy minimization technique to recover the image parameters.
    • 一种基于子区域的图像参数恢复系统和方法,用于从包含在次优照明条件下拍摄的面部的单个图像恢复图像参数。 恢复的图像参数(包括反照率,照明和脸部几何)可用于在新的照明环境下生成脸部图像。 该方法包括将图像中的脸部划分成许多较小的区域,为每个区域生成反照变形模型,并使用基于马尔科夫随机场(MRF)的框架来模拟相邻区域之间的空间依赖关系。 定义不同类型的区域,包括饱和,阴影,常规和遮挡区域。 将图像中的每个像素分类并分配给基于强度的区域,然后基于其分类进行加权。 该方法将纹理与几何和照明模型分离,然后生成使用能量最小化技术迭代求解以恢复图像参数的目标函数。