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公开(公告)号：US08768100B2
公开(公告)日：2014-07-01
申请号：US13932763
申请日：2013-07-01
Applicant: General Electric Company
Inventor： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
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。
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公开(公告)号：US20140085545A1
公开(公告)日：2014-03-27
申请号：US13627629
申请日：2012-09-26
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Jilin Tu , Yi Xu , Ana Isabel Del Amo , Thomas Baby Sebastian
IPC: H04N9/67
CPC classification number: G06K9/00771 , G06K9/00342 , G06K9/6292 , G06T7/187 , G06T7/254 , G06T2207/10016 , G06T2207/30236
Abstract: A method implemented using a processor based device is disclosed. The method includes receiving a video stream comprising a plurality of image frames having at least one moving object, determining a difference between at least two image frames among the plurality of image frames and generating a difference image comprising a plurality of image blobs corresponding to the at least one moving object. The method further includes generating a plurality of bounding boxes, each bounding box surrounding at least one corresponding image blob among the plurality of image blobs, and determining a subset of bounding boxes among the plurality of bounding boxes, associated with the corresponding moving object, using a fuzzy technique based on a perceptual characterization of the subset of bounding boxes. The method also includes merging the subset of bounding boxes to generate a merged bounding box enclosing the subset of bounding boxes to detect the moving object.
Abstract translation: 公开了一种使用基于处理器的设备实现的方法。 该方法包括接收包括具有至少一个运动对象的多个图像帧的视频流，确定多个图像帧中的至少两个图像帧之间的差异，并生成包括对应于该图像帧的多个图像斑点的差分图像 至少一个移动物体。 该方法还包括生成多个边界框，每个边界框围绕多个图像斑点中的至少一个对应图像斑点，以及使用与相应运动对象相关联的多个边界框中的边界框的子集，使用 基于对包围子集的感知表征的模糊技术。 该方法还包括合并边界框的子集以生成包围边界子集的合并边界框以检测移动对象。
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公开(公告)号：US20130294686A1
公开(公告)日：2013-11-07
申请号：US13932763
申请日：2013-07-01
Applicant: General Electric Company
Inventor： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
IPC: G06K9/32
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。
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公开(公告)号：US10937150B2
公开(公告)日：2021-03-02
申请号：US16022074
申请日：2018-06-28
Applicant: General Electric Company
Inventor： Huan Tan , Arpit Jain , Gyeong Woo Cheon , Ghulam Ali Baloch , Jilin Tu , Weina Ge , Li Zhang
Abstract: A method and system, the method including receiving semantic descriptions of features of an asset extracted from a first set of images; receiving a model of the asset, the model constructed based on a second set of a plurality images of the asset; receiving, based on an optical flow-based motion estimation, an indication of a motion for the features in the first set of images; determining a set of candidate regions of interest for the asset; determining a region of interest in the first set of images; iteratively determining a matching of features in the set of candidate regions of interest and the determined region of interest in the first set of images to generate a record of matches in features between two images in the first set of images; and displaying a visualization of the matches in features between two images in the first set of images.
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公开(公告)号：US20190145902A1
公开(公告)日：2019-05-16
申请号：US15809531
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Huan Tan , Li Zhang , Romano Patrick , Arpit Jain , Guangliang Zhao , Jilin Tu
Abstract: An asset inspection system includes a robot and a server. The robot collects inspection data corresponding to an asset. The server, includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the inspection data from the robot, display the inspection data via the user-interface, receive feedback on the inspection data via the user interface, generate a human-assisted inspection based on the received feedback, analyze the inspection data via a trained model, generate an automated inspection based on the analysis by the trained model, combine the automated inspection and the human-assisted inspection to generate an inspection report, and transmit the inspection report for review.
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Patent Agency Ranking
公开(公告)号：US20210295102A1
公开(公告)日：2021-09-23
申请号：US16824917
申请日：2020-03-20
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Alexander S-Ban Chen , Jilin Tu
Abstract: An analogy generating system includes one or more image databases that include a first set of images depicting a first symbolic class and a second set of images depicting a second symbolic class and an autoencoder that receive images from the first set of images and the second set of images; determines a first characteristic shared between the first symbolic class and the second symbolic class using a first node from multiple nodes on a neural network; determine a second characteristic shared between the first symbolic class and the second symbolic class using a second node from multiple nodes on the neural network; and exchange the first characteristic and the second characteristic between the first node and the second node to establish an analogy between the first symbolic class and the second symbolic class.
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公开(公告)号：US10775314B2
公开(公告)日：2020-09-15
申请号：US15809531
申请日：2017-11-10
Applicant: General Electric Company
Inventor： Huan Tan , Li Zhang , Romano Patrick , Arpit Jain , Guangliang Zhao , Jilin Tu
IPC: G01N21/88 , G06N20/00 , G01N21/95 , G06N3/00 , G06N3/08 , G06F3/0354 , G06F16/20 , H04L29/08 , H04W4/80 , G01S17/86
Abstract: An asset inspection system includes a robot and a server. The robot collects inspection data corresponding to an asset. The server, includes a user interface, a processor, and a memory. The memory includes instructions that, when executed by the processor, cause the processor to receive the inspection data from the robot, display the inspection data via the user-interface, receive feedback on the inspection data via the user interface, generate a human-assisted inspection based on the received feedback, analyze the inspection data via a trained model, generate an automated inspection based on the analysis by the trained model, combine the automated inspection and the human-assisted inspection to generate an inspection report, and transmit the inspection report for review.
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公开(公告)号：US10579785B2
公开(公告)日：2020-03-03
申请号：US15721114
申请日：2017-09-29
Applicant: General Electric Company
Inventor： Jimmie Beacham , Tao Jia , Jilin Tu , Peter Tu , Zhiguang Wang
Abstract: An authentication system includes a processor, a non-transitory computer readable medium, and one or more programs stored on the computer readable medium, where the processor, under control of the programs implements at least one neural network trained to produce first feature vectors from facial features extracted from a population of first facial images and, after training, configured to produce a second feature vector from facial features extracted from a second facial image, a discriminative classifier trained to identify closely matching ones of the first feature vectors and configured to identify whether at least one first feature vector and the second feature vector meet a correlation threshold. The authentication system may also include an access interface configured to allow access if the correlation threshold is met.
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公开(公告)号：US20180157903A1
公开(公告)日：2018-06-07
申请号：US15370746
申请日：2016-12-06
Applicant: General Electric Company
Inventor： Peter Henry Tu , Tao Gao , Jilin Tu
CPC classification number: G06K9/00335 , G06K9/00315 , G06K9/00342 , G06K9/0061 , G06K9/00758 , G06K9/00771 , G06K9/00778 , G06T7/248 , G06T2207/30201 , G06T2207/30232 , H04N7/183
Abstract: Provided are techniques for assessing individual or crowd level behavior based on image data analysis. For example, in one embodiment, the techniques may include generating signatures representative of an observed behavior based on video data and performing pairwise matching by determining whether the first signature matches a second signature indicative of a query behavior.
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公开(公告)号：US09483820B2
公开(公告)日：2016-11-01
申请号：US14282296
申请日：2014-05-20
Applicant: General Electric Company
Inventor： Ser Nam Lim , Jilin Tu , Li Guan , Craig Ronald Hoffmann
CPC classification number: G06T7/001 , G06K9/46 , G06K9/4642 , G06K9/4671 , G06K9/52 , G06K9/62 , G06K9/6215 , G06K9/6218 , G06K9/6267 , G06K2209/19 , G06T2207/10016 , G06T2207/30164
Abstract: A method and system for detecting a damaged machine component during operation of the machine are provided. The damaged machine component detection system includes one or more processors, one or more memory devices communicatively coupled to the one or more processors, an image capture device configured to generate a stream of temporally-spaced images of a scene including a machine component of interest, the images generated in real-time, and a grouping model configured to compare features of a current image of the stream of images to features of previously captured images sorted into a plurality of groups of images having similar features, generate an alert if predetermined features of the current image deviate from corresponding features of the grouped images by a predetermined amount, and update the groups with the current image if the predetermined features of the current image are similar to corresponding features of the grouped images by a predetermined amount. The system also includes an output device configured to output at least one of the alert and the current image.
Abstract translation: 提供了一种用于在机器运行期间检测损坏的机器部件的方法和系统。 损坏的机器部件检测系统包括一个或多个处理器，通信地耦合到一个或多个处理器的一个或多个存储器设备，被配置为生成包括感兴趣的机器部件的场景的时间间隔图像的图像捕获设备， 实时生成的图像，以及分组模型，其被配置为将图像流的当前图像的特征与排列成具有相似特征的多组图像的先前拍摄图像的特征进行比较，如果预定特征 如果当前图像的预定特征与分组图像的对应特征类似于预定量，则当前图像与分组图像的相应特征偏离预定量，并且更新具有当前图像的组。 该系统还包括被配置为输出警报和当前图像中的至少一个的输出设备。
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