公开(公告)号：US09384448B2

公开(公告)日：2016-07-05

申请号：US13339297

申请日：2011-12-28

Applicant: Peter Henry Tu ,  Ting Yu ,  Dashan Gao ,  Thomas Baby Sebastian ,  Yi Yao

Inventor： Peter Henry Tu ,  Ting Yu ,  Dashan Gao ,  Thomas Baby Sebastian ,  Yi Yao

IPC: G06N99/00 ,  G06K9/62

CPC classification number: G06N99/005 ,  G06K9/6256

Abstract: Systems provided herein include a learning environment and an agent. The learning environment includes an avatar and an object. A state signal corresponding to a state of the learning environment includes a location and orientation of the avatar and the object. The agent is adapted to receive the state signal, to issue an action capable of generating at least one change in the state of the learning environment, to produce a set of observations relevant to a task, to hypothesize a set of action models configured to explain the observations, and to vet the set of action models to identify a learned model for the task.

Abstract translation: 本文提供的系统包括学习环境和代理。 学习环境包括头像和对象。 对应于学习环境的状态的状态信号包括化身和对象的位置和方向。 该代理适于接收状态信号，以发出能够产生学习环境状态的至少一个变化的动作，以产生与任务相关的一组观察结果，以假设一组动作模型，其被配置为解释 观察，并且审视一套动作模型，以确定一个学习的任务模型。

公开(公告)号：US20130177244A1

公开(公告)日：2013-07-11

申请号：US13346479

申请日：2012-01-09

Applicant: Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

Inventor： Xiaoming Liu ,  Peter Henry Tu ,  Ya Xue

IPC: G06K9/46 ,  G06K9/34

CPC classification number: G06K9/6206 ,  G06K9/00281 ,  G06K9/6224 ,  G06K9/623 ,  G06K9/6263

Abstract: A novel technique for unsupervised feature selection is disclosed. The disclosed methods include automatically selecting a subset of a feature of an image. Additionally, the selection of the subset of features may be incorporated with a congealing algorithm, such as a least-square-based congealing algorithm. By selecting a subset of the feature representation of an image, redundant and/or irrelevant features may be reduced or removed, and the efficiency and accuracy of least-square-based congealing may be improved.

Abstract translation: 公开了一种用于无监督特征选择的新技术。 所公开的方法包括自动选择图像的特征的子集。 另外，可以使用诸如基于最小二乘法的凝结算法的凝结算法来结合特征子集的选择。 通过选择图像的特征表示的子集，可以减少或去除冗余和/或不相关的特征，并且可以提高基于最小二乘法的凝结的效率和精度。

公开(公告)号：US08155399B2

公开(公告)日：2012-04-10

申请号：US12056051

申请日：2008-03-26

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

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

IPC: G06K9/62

CPC classification number: G06K9/00241 ,  G06K9/621

Abstract: There is provided a discriminative framework for image alignment. Image alignment is generally the process of moving and deforming a template to minimize the distance between the template and an image. There are essentially three elements to image alignment, namely template representation, distance metric, and optimization method. For template representation, given a face dataset with ground truth landmarks, a boosting-based classifier is trained that is able to learn the decision boundary between two classes—the warped images from ground truth landmarks (e.g., positive class) and those from perturbed landmarks (e.g., negative class). A set of trained weak classifiers based on Haar-like rectangular features determines a boosted appearance model. A distance metric is a score from the strong classifier, and image alignment is the process of optimizing (e.g., maximizing) the classification score. On the generic face alignment problem, the proposed framework greatly improves the robustness, accuracy, and efficiency of alignment.

Abstract translation: 提供了一种用于图像对齐的辨别框架。 图像对齐通常是移动和变形模板的过程，以最小化模板和图像之间的距离。 图像对齐基本上有三个要素，即模板表示，距离度量和优化方法。 对于模板表示，给定一个具有地面真实地标的面部数据集，训练有素的分类器能够学习两个类之间的决策边界 - 来自地面真实地标（例如，积极的类）和来自扰动地标的变形图像 （例如负面班）。 基于哈尔式矩形特征的一组经过训练的弱分类器决定了外观模型的提升。 距离度量是来自强分类器的分数，图像对准是优化（例如，最大化）分类分数的过程。 在通用面对齐问题上，提出的框架大大提高了对齐的鲁棒性，准确性和效率。

公开(公告)号：US07885429B2

公开(公告)日：2011-02-08

申请号：US11759683

申请日：2007-06-07

Applicant: Peter Henry Tu ,  Kai Erik Thomenius ,  Nils Oliver Krahnstoever ,  Jens Rittscher ,  John Charles Hill, Jr. ,  Gianfranco Doretto ,  Thomas Baby Sebastian ,  Jeffrey Michael Ashe

Inventor： Peter Henry Tu ,  Kai Erik Thomenius ,  Nils Oliver Krahnstoever ,  Jens Rittscher ,  John Charles Hill, Jr. ,  Gianfranco Doretto ,  Thomas Baby Sebastian ,  Jeffrey Michael Ashe

IPC: G06K9/00 ,  G01P21/00

CPC classification number: G06K9/00771 ,  G06K2209/09

Abstract: Embodiments of the invention include a system and a method for determining whether a person is carrying concealed contraband, such as an improvised explosives device or other weapon. The system includes a people tracking video subsystem, a people tracking decisioning subsystem, a concealed contraband detection aiming subsystem, and a concealed contraband detection decisioning subsystem.

Abstract translation: 本发明的实施例包括用于确定人是否携带隐藏的违禁品的系统和方法，例如简易爆炸装置或其他武器。 该系统包括人员跟踪视频子系统，人员跟踪决策子系统，隐藏的违禁品检测瞄准子系统和隐藏违禁品检测决策子系统。

公开(公告)号：US20100027841A1

公开(公告)日：2010-02-04

申请号：US12183326

申请日：2008-07-31

Applicant: Thomas Baby Sebastian ,  Peter Henry Tu

Inventor： Thomas Baby Sebastian ,  Peter Henry Tu

IPC: G06K9/00

CPC classification number: G06K9/3233 ,  B61L3/065 ,  B61L23/041

Abstract: The present invention aims at providing a method for detecting a signal structure from a moving vehicle. The method for detecting signal structure includes capturing an image from a camera mounted on the moving vehicle. The method further includes restricting a search space by predefining candidate regions in the image, extracting a set of features of the image within each candidate region and detecting the signal structure accordingly.

Abstract translation: 本发明旨在提供一种从移动车辆检测信号结构的方法。 用于检测信号结构的方法包括从安装在移动车辆上的照相机捕获图像。 该方法还包括通过预先确定图像中的候选区域来限制搜索空间，提取每个候选区域内的图像的一组特征并相应地检测信号结构。

公开(公告)号：US07356425B2

公开(公告)日：2008-04-08

申请号：US11296743

申请日：2005-12-07

Applicant: Nils Oliver Krahnstoever ,  Paulo Ricardo Mendonca ,  Jens Rittscher ,  Thomas Baby Sebastian ,  Peter Henry Tu

Inventor： Nils Oliver Krahnstoever ,  Paulo Ricardo Mendonca ,  Jens Rittscher ,  Thomas Baby Sebastian ,  Peter Henry Tu

IPC: G06F19/00

CPC classification number: G06T7/80

Abstract: A method for calibrating a projective camera is provided. The method includes acquiring information by detecting at least one object on a substantially flat ground plane within a field of view. A projective camera calibration is performed. A measurement uncertainty is considered to yield a plurality of camera parameters from the projective camera calibration.

Abstract translation: 提供了一种用于校准投影摄像机的方法。 该方法包括通过在视场内的基本平坦的接地平面上检测至少一个物体来获取信息。 执行投影相机校准。 考虑到测量不确定度可以从投影相机校准中产生多个相机参数。

公开(公告)号：US07283652B2

公开(公告)日：2007-10-16

申请号：US10065894

申请日：2002-11-27

Applicant: Paulo Ricardo Mendonca ,  Matthew William Turek ,  James Vradenburg Miller ,  Robert August Kaucic ,  Peter Henry Tu ,  Tony Chishao Pan

Inventor： Paulo Ricardo Mendonca ,  Matthew William Turek ,  James Vradenburg Miller ,  Robert August Kaucic ,  Peter Henry Tu ,  Tony Chishao Pan

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T2207/30061

Abstract: A method and system for measuring disease relevant tissue changes for use in quantifying, diagnosing and predicting a given disease are provided. The method comprises applying at least one segmenting process to the image data to generate a plurality of segmented regions of interest, extracting features relevant for a given disease from the segmented regions to generate extracted features, and mathematically modeling the features for use in one of diagnosing, quantifying and predicting changes indicative of the given disease. The system comprises an imaging device for acquiring the image data and an image process configured to segment, extract and mathematically model disease relevant features.

Abstract translation: 提供了用于量化，诊断和预测给定疾病的用于测量疾病相关组织变化的方法和系统。 该方法包括对图像数据应用至少一个分割过程以产生多个感兴趣的分割区域，从分割区域提取与给定疾病相关的特征以产生提取的特征，以及数学模拟特征以用于诊断之一 ，量化和预测指示给定疾病的变化。 该系统包括用于获取图像数据的成像装置和被配置为分割，提取和数学地模拟疾病相关特征的图像处理。

公开(公告)号：US07257248B2

公开(公告)日：2007-08-14

申请号：US10249279

申请日：2003-03-27

Applicant: Raghu Kokku ,  Glen William Brooksby ,  Peter Henry Tu

Inventor： Raghu Kokku ,  Glen William Brooksby ,  Peter Henry Tu

IPC: G06K9/00 ,  G01C9/00 ,  G01C17/00 ,  G01C19/00 ,  G06F15/00

CPC classification number: G01B11/25 ,  G06T7/521

Abstract: A system and method for non-contact measurement of a complex part is provided. The method comprises acquiring an image of the complex part including imposed laser lines on the complex part using at least one imaging device, determining a span of interest of the complex part being representative of at least a portion of the complex part and which comprises information related to a plurality of dimensions of a surface of the complex part, extracting information corresponding to the laser lines from the span of interest to reduce computation and further extracting a plurality of unique points from the information corresponding to the laser lines, the plurality of unique points representing the plurality of dimensions of the surface. The plurality of unique points is used for reconstructing a three-dimensional (3D) representation of the surface of the complex part.

Abstract translation: 提供了一种用于非接触式测量复杂部件的系统和方法。 该方法包括使用至少一个成像装置获取复合部分上包括施加的激光线的图像，确定复合部分的兴趣跨度代表复合部分的至少一部分，并且包括信息相关 到复合部分的表面的多个维度，从感兴趣的跨度提取与激光线对应的信息以减少计算，并且从与激光线对应的信息中进一步提取多个唯一点，多个唯一点 表示表面的多个尺寸。 多个独特的点被用于重建复杂部分的表面的三维（3D）表示。

公开(公告)号：US08750566B2

公开(公告)日：2014-06-10

申请号：US13403030

申请日：2012-02-23

Applicant: Li Guan ,  Peter Henry Tu ,  Yi Yao ,  Ming-Ching Chang

Inventor： Li Guan ,  Peter Henry Tu ,  Yi Yao ,  Ming-Ching Chang

IPC: G06K9/00 ,  G06K9/32

CPC classification number: G06T7/55 ,  G06T7/97 ,  G06T2207/20228 ,  G06T2207/30244

Abstract: Homography-based imaging apparatus and method are provided. The apparatus may include a processor (44) coupled to process respective sequences of sky images respectively acquired by physical image acquisition devices 181 and 182 at respective spaced apart locations (e.g., P1, P2). The processor may include an image alignment module (32) configured to spatially relate respective views of at least one object (e.g., clouds, aerial vehicles) visible in the respective sequences of the sky images based on homography (42) of at least one astronomical image acquired at each spaced apart location. The astronomical image may include a number of spatial references corresponding to respective astronomical body positions located practically at infinity relative to a respective distance between the spaced apart locations. Further views (synthetic views) may be generated at selectable new locations (e.g., P3, P4, P5, P6), without actually having any physical image acquisition devices at such selectable locations.

Abstract translation: 提供基于成像的成像装置和方法。 该装置可以包括处理器（44），其被处理器（44）耦合以处理在相应的间隔开的位置（例如，P1，P2）处分别由物理图像采集装置181和182获取的天空图像的各个序列。 处理器可以包括图像对准模块（32），其被配置为基于至少一个天文学的同位素（42）空间上关联在天空图像的相应序列中可见的至少一个对象（例如，云，空中飞行器）的各个视图 在每个间隔开的位置获取图像。 天文图像可以包括对应于相对于相对于间隔开的位置之间的相应距离实际上位于无穷远处的相应天文体位置的多个空间参考。 可以在可选择的新位置（例如，P3，P4，P5，P6）处产生进一步视图（合成视图），而在这种可选择位置实际上没有任何物理图像采集装置。

公开(公告)号：US20130223676A1

公开(公告)日：2013-08-29

申请号：US13403030

申请日：2012-02-23

Applicant: Li Guan ,  Peter Henry Tu ,  Yi Yao ,  Ming-Ching Chang

Inventor： Li Guan ,  Peter Henry Tu ,  Yi Yao ,  Ming-Ching Chang

IPC: G06K9/00

CPC classification number: G06T7/55 ,  G06T7/97 ,  G06T2207/20228 ,  G06T2207/30244

Abstract: Homography-based imaging apparatus and method are provided. The apparatus may include a processor (44) coupled to process respective sequences of sky images respectively acquired by physical image acquisition devices 181 and 182 at respective spaced apart locations (e.g., P1, P2). The processor may include an image alignment module (32) configured to spatially relate respective views of at least one object (e.g., clouds, aerial vehicles) visible in the respective sequences of the sky images based on homography (42) of at least one astronomical image acquired at each spaced apart location. The astronomical image may include a number of spatial references corresponding to respective astronomical body positions located practically at infinity relative to a respective distance between the spaced apart locations. Further views (synthetic views) may be generated at selectable new locations (e.g., P3, P4, P5, P6), without actually having any physical image acquisition devices at such selectable locations.

Abstract translation: 提供基于成像的成像装置和方法。 该装置可以包括处理器（44），其被处理器（44）耦合以处理在相应的间隔开的位置（例如，P1，P2）处分别由物理图像采集装置181和182获取的天空图像的各个序列。 处理器可以包括图像对准模块（32），其被配置为基于至少一个天文学的同位素（42）空间上关联在天空图像的相应序列中可见的至少一个对象（例如，云，空中飞行器）的各个视图 在每个间隔开的位置获取图像。 天文图像可以包括对应于相对于相对于间隔开的位置之间的相应距离实际上位于无穷远处的相应天文体位置的多个空间参考。 可以在可选择的新位置（例如，P3，P4，P5，P6）处产生其他视图（合成视图），而在这种可选择位置实际上没有任何物理图像采集装置。