公开(公告)号：US06547648B1

公开(公告)日：2003-04-15

申请号：US09687548

申请日：2000-10-13

Applicant: Zhenqi Zhu ,  Xiaoming Liu

Inventor： Zhenqi Zhu ,  Xiaoming Liu

IPC: B24B100

CPC classification number: B24B53/001 ,  B24B53/053

Abstract: This invention is a process and device for high speed electrolytic in-process dressing (HELID). The device of the present invention may be provided as an add on to an existing grinding machine or may be integrated into a grinding machine as a subsystem. Grinding machines which are subject to the present invention include, but are not limited to, surface, cylindrical, centerless and double-disk grinding machines.

Abstract translation: 本发明是用于高速电解过程中敷料（HELID）的方法和装置。 本发明的装置可以作为添加到现有的研磨机上，或者可以作为子系统集成到研磨机中。 受本发明影响的研磨机包括但不限于表面，圆柱形，无心和双盘磨床。

公开(公告)号：US09320766B2

公开(公告)日：2016-04-26

申请号：US14118867

申请日：2012-07-18

Applicant: Fengwei Tian ,  Wei Chen ,  Qixiao Zhai ,  Hao Zhang ,  Jianxin Zhao ,  Gang Wang ,  Yuanda Song ,  Qiuxiang Zhang ,  Xiaoming Liu ,  Min Guo ,  Daming Fan

Inventor： Fengwei Tian ,  Wei Chen ,  Qixiao Zhai ,  Hao Zhang ,  Jianxin Zhao ,  Gang Wang ,  Yuanda Song ,  Qiuxiang Zhang ,  Xiaoming Liu ,  Min Guo ,  Daming Fan

IPC: A61K35/747 ,  C12R1/25 ,  A23L1/30 ,  A23C13/16 ,  A23C19/032 ,  A23C9/123 ,  A23C11/10 ,  C12N1/20 ,  A23L2/38 ,  A23L1/212

CPC classification number: A61K35/747 ,  A23C9/1234 ,  A23C11/106 ,  A23C13/16 ,  A23C19/032 ,  A23L2/382 ,  A23L19/00 ,  A23L33/135 ,  A23V2002/00 ,  A23Y2220/67 ,  C12N1/20 ,  C12R1/25

Abstract: The Lactobacillus plantarum CCFM8661 is tolerant to acid and lead ions in vitro which can tolerate lead ions solution with the initial concentration of 150 mg/L, and has a strong capability of binding lead ions, which can reduce the lead level in mice blood, liver, kidney and stomach, significantly improve antioxidant indicators and alleviate pathological symptoms of lead exposed mice.

Abstract translation: 植物乳杆菌CCFM8661在体外耐受酸和铅离子，可以耐受初始浓度为150 mg / L的铅离子溶液，并具有较强的结合铅离子的能力，可以降低小鼠血液，肝脏的铅水平 ，肾，胃，显着改善抗氧化指标，减轻铅暴露小鼠的病理症状。

公开(公告)号：US08869115B2

公开(公告)日：2014-10-21

申请号：US13452329

申请日：2012-04-20

Applicant: Kirk Lars Bruns ,  Christopher John Olivier ,  Piali Das ,  Peter Tu ,  Xiaoming Liu

Inventor： Kirk Lars Bruns ,  Christopher John Olivier ,  Piali Das ,  Peter Tu ,  Xiaoming Liu

IPC: G06F9/44 ,  G06F3/01

CPC classification number: G06F3/013 ,  G06F9/451 ,  G06F2203/011

Abstract: Systems and methods are disclosed for emotive healthcare software usability. A method to improve software usability is described, the method comprising presenting a software application to a user. The method also including logging activities of the user with respect to the software application, wherein the logging includes recording the user using the software application, and wherein the activities include user action with respect to the software application and mouse location on a user interface displaying the software application. The method also including interpreting user emotion from the recording, and tracking an emotive index based on a combination of user emotion and user action with respect to the software application and mouse location. The method also including providing feedback based on the emotive index.

Abstract translation: 公开了用于情绪保健软件可用性的系统和方法。 描述了一种提高软件可用性的方法，该方法包括向用户呈现软件应用程序。 该方法还包括用户相对于软件应用程序的记录活动，其中所述记录包括使用所述软件应用程序记录所述用户，并且其中所述活动包括关于所述软件应用的用户动作以及显示所述软件应用的用户界面上的鼠标位置 软件应用。 该方法还包括从记录中解释用户情感，以及基于用户情感和用户动作的组合相对于软件应用程序和鼠标位置来跟踪情绪指数。 该方法还包括基于情绪指数提供反馈。

公开(公告)号：US08709703B2

公开(公告)日：2014-04-29

申请号：US12053058

申请日：2008-03-21

Applicant: Xuegong Deng ,  Jian Jim Wang ,  Lei Chen ,  Anguel N. Nikolov ,  Nada O'Brien ,  Xiaoming Liu

Inventor： Xuegong Deng ,  Jian Jim Wang ,  Lei Chen ,  Anguel N. Nikolov ,  Nada O'Brien ,  Xiaoming Liu

IPC: G03F7/20 ,  C23F1/02

CPC classification number: G02B5/1857

Abstract: In general, in a first aspect, the invention features a method that includes forming a first layer comprising a first material over a surface of a second layer, wherein forming the first layer includes sequentially forming a plurality of monolayers of the second material over the surface of the second layer, the second layer comprises a plurality of rows of a second material extending along a first direction and spaced from one another in a second direction orthogonal to the first direction, and the first layer conforms to the surface of the second layer. The method further includes removing portions of the first layer to produce a plurality of rows of the first material extending along the first direction and spaced from one another in the second direction and removing portions of a third layer comprising a third material, where the portions correspond to intervals between the second plurality of rows so that removing the portions forms a plurality of rows of the third material extending along the first direction and spaced apart from one another. The first and second materials are different.

Abstract translation: 通常，在第一方面，本发明的特征在于一种方法，其包括在第二层的表面上形成包含第一材料的第一层，其中形成所述第一层包括在所述表面上顺序地形成所述第二材料的多个单层 所述第二层包括沿着第一方向延伸并沿与所述第一方向正交的第二方向彼此间隔开的多行第二材料，并且所述第一层符合所述第二层的表面。 该方法还包括去除第一层的部分以产生沿着第一方向延伸并在第二方向上彼此间隔的多行第一材料，并且去除包括第三材料的第三层的部分，其中部分对应于 到所述第二多个行之间的间隔，使得去除所述部分形成沿着所述第一方向延伸并彼此间隔开的所述第三材料的多行。 第一和第二种材料是不同的。

公开(公告)号：US20130190600A1

公开(公告)日：2013-07-25

申请号：US13357724

申请日：2012-01-25

Applicant: Mithun Das Gupta ,  Kajoli Banerjee Krishnan ,  Pavan Kumar Veerabhadra Annangi ,  Xiaoming Liu ,  Sri Kaushik Pavani ,  Navneeth Subramanian ,  Jyotirmoy Banerjee

Inventor： Mithun Das Gupta ,  Kajoli Banerjee Krishnan ,  Pavan Kumar Veerabhadra Annangi ,  Xiaoming Liu ,  Sri Kaushik Pavani ,  Navneeth Subramanian ,  Jyotirmoy Banerjee

IPC: A61B5/055 ,  A61B8/00 ,  G06K9/62 ,  A61B5/05

CPC classification number: A61B8/5215 ,  A61B8/0866 ,  A61B8/461 ,  A61B8/467 ,  A61B8/469 ,  A61B8/5223 ,  A61B8/56 ,  G06T7/0002 ,  G06T7/33 ,  G06T2207/10132 ,  G06T2207/30168

Abstract: A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.

Abstract translation: 提出了一种用于识别最佳图像帧的方法。 该方法包括在感兴趣的对象中接收感兴趣的解剖区域的选择。 此外，该方法包括获得对应于所选择的感兴趣解剖区域的多个图像帧。 该方法还包括确定对应于多个获取的图像帧的实时指示符，其中实时指示符代表图像帧的质量。 此外，该方法包括传送实时指示符以帮助选择最佳图像帧。 还呈现了被配置为执行用于识别最佳图像帧的方法的系统和非暂时计算机可读介质。

公开(公告)号：US08478077B2

公开(公告)日：2013-07-02

申请号：US13052097

申请日：2011-03-20

Applicant: Xiaoming Liu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Jilin Tu

Inventor： Xiaoming Liu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Jilin Tu

IPC: G06K9/32 ,  G06K9/62 ,  G06K9/66 ,  G06K9/36 ,  G06K9/48

CPC classification number: G06K9/3241 ,  G06K9/00228

Abstract: A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.

Abstract translation: 公开了一种用于图像对准的方法。 在一个实施例中，该方法包括获取人的面部图像并使用区别性面部对准模型来将面部图像拟合为面部图像，以便于面部特征的定位。 鉴别面部对齐模型可以包括生成形状模型组件和鉴别外观模型组件。 此外，鉴别外观模型组件可能已经被训练以估计最小化梯度方向和指向地面真实形状参数的向量之间的角度的得分函数。 还公开了附加的方法，系统和制品。

公开(公告)号：US20110013845A1

公开(公告)日：2011-01-20

申请号：US12627039

申请日：2009-11-30

Applicant: Jilin Tu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Xiaoming Liu ,  Yan Tong

Inventor： Jilin Tu ,  Frederick Wilson Wheeler ,  Peter Henry Tu ,  Xiaoming Liu ,  Yan Tong

IPC: G06K9/68

CPC classification number: G06K9/6234 ,  G06K9/00288 ,  G06K9/6215

Abstract: A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.

Abstract translation: 公开了一种用于优化对象识别的技术。 该技术包括接收对象和至少一个参考图像的至少一个图像。 该技术还包括识别对应于对象识别任务的至少一个性能量度。 通过基于与对象识别任务相对应的确定的目标函数和接收到的图像与对应的参考图像之间的差异来确定最佳子空间来优化识别的性能度量以产生相应的优化性能度量。 随后，该技术包括基于用于执行对象识别任务的优化性能度量来比较接收到的图像与参考图像。

公开(公告)号：US20100246980A1

公开(公告)日：2010-09-30

申请号：US12533066

申请日：2009-07-31

Applicant: Yan Tong ,  Xiaoming Liu ,  Jilin Tu ,  Peter Henry Tu ,  Frederick Wilson Wheeler

Inventor： Yan Tong ,  Xiaoming Liu ,  Jilin Tu ,  Peter Henry Tu ,  Frederick Wilson Wheeler

IPC: G06K9/62 ,  G06K9/00

CPC classification number: G06K9/66 ,  G06K9/00228 ,  G06T7/33 ,  G06T7/35 ,  G06T2207/20121 ,  G06T2207/30201

Abstract: A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.

Abstract translation: 用于估计大图像集合的一组地标的系统和方法仅使用来自集合的少量手动标记的图像，并且避免与手动图像标签相关联的劳动密集型和易出错的对象检测，跟踪和对准学习任务限制 技术 采用半监督的最小二乘法凝结方法来最小化在标记和未标记图像上定义的目标函数。 形状模型在线学习以约束地标配置。 分区策略允许粗略到精细的地标估计。

公开(公告)号：US20100111376A1

公开(公告)日：2010-05-06

申请号：US12457959

申请日：2009-06-26

Applicant: Weizhong Yan ,  Frederick W. Wheeler ,  Peter H. Tu ,  Xiaoming Liu

Inventor： Weizhong Yan ,  Frederick W. Wheeler ,  Peter H. Tu ,  Xiaoming Liu

IPC: G06K9/00

CPC classification number: G07C9/00158 ,  G06K9/00268 ,  G06K9/036 ,  G06K9/6255

Abstract: A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.

Abstract translation: 描述了生物特征样本训练装置，生物特征样本质量评估装置，生物测定融合识别装置，集成生物测定融合识别系统以及其中可以使用每一种的实例过程。 小波和增强分类器用于评估生物特征样本的质量，如面部图像。 所描述的生物特征样本质量评估方法提供对各种降解因素（例如面部图像生物特征样本中的姿态，照明和照明）可靠的质量评估值。 质量评估值允许组合不同样本类型的生物特征样本，以支持例如生物测定融合装置使用的复杂识别技术，从而提高生物特征认证和生物识别识别两者的精度和鲁棒性。

公开(公告)号：US20070292049A1

公开(公告)日：2007-12-20

申请号：US11650213

申请日：2007-01-05

Applicant: Xiaoming Liu ,  Frederick Wheeler ,  Peter Tu

Inventor： Xiaoming Liu ,  Frederick Wheeler ,  Peter Tu

IPC: G06K9/32

CPC classification number: G06K9/621 ,  G06K9/00281

Abstract: A method of producing an enhanced Active Appearance Model (AAM) by combining images of multiple resolutions is described herein. The method generally includes processing a plurality of images each having image landmarks and each image having an original resolution level. The images are down-sampled into multiple scales of reduced resolution levels. The AAM is trained for each image at each reduced resolution level, thereby creating a multi-resolution AAM. An enhancement technique is then used to refine the image landmarks for training the AAM at the original resolution level. The landmarks for training the AAM at each level of reduced resolution is obtained by scaling the landmarks used at the original resolution level by a ratio in accordance with the multiple scales.

Abstract translation: 本文描述了通过组合多个分辨率的图像来生成增强的活动外观模型（AAM）的方法。 该方法通常包括处理多个具有图像界标的图像，并且每个图像具有原始分辨率级别。 图像被下采样成分辨率降低的多个尺度。 在每个降低的分辨率级别对每个图像训练AAM，从而创建多分辨率AAM。 然后使用增强技术来改善用于以原始分辨率级别训练AAM的图像界标。 通过将原始分辨率级别使用的地标按照多个尺度的比例进行缩放，可以获得在每个降低分辨率级别下对AAM进行训练的地标。