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公开(公告)号：US20200334449A1
公开(公告)日：2020-10-22
申请号：US16959100
申请日：2019-01-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Dong Chen , Fang Wen , Gang Hua , Xiang Ming
Abstract: Embodiments of the subject matter described herein relate to object detection based on neural network. In some implementations, a candidate region in an image, a first score and a plurality of positions associated with the candidate region are determined from a feature map of the image, and the first score indicates a probability that the candidate region corresponds to a particular portion of an object. A plurality of second scores are determined from the feature map and indicate probabilities that the plurality of positions correspond to a plurality of parts of the object, respectively. A final score of the candidate region is determined based on the first score and the plurality of second scores, to identify the particular portion of the object in the image.
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公开(公告)号：US10452935B2
公开(公告)日：2019-10-22
申请号：US15763619
申请日：2015-10-30
Applicant: Microsoft Technology Licensing, LLC
Inventor： Jinyu Li , Fang Wen , Yichen Wei , Michael John Conrad , Chun-Te Chu , Aamir Jawaid
Abstract: Examples are disclosed herein that relate to detecting spoofed human faces. One example provides a computing device comprising a processor configured to compute a first feature distance between registered image data of a human face in a first spectral region and test image data of the human face in the first spectral region, compute a second feature distance between the registered image data and test image data of the human face in a second spectral region, compute a test feature distance between the test image data in the first spectral region and the test image data in the second spectral region, determine, based on a predetermined relationship, whether the human face to which the test image data in the first and second spectral regions corresponds is a real human face or a spoofed human face, and modify a behavior of the computing device.
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公开(公告)号：US20160163058A1
公开(公告)日：2016-06-09
申请号：US14890884
申请日：2013-07-31
Applicant: Yichen WEI , Fang WEN , Jian SUN , MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor： Yichen Wei , Fang Wen , Jian Sun
IPC: G06T7/00
CPC classification number: G06T7/162 , G06K9/3233 , G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/20164
Abstract: Disclosed herein are techniques and systems for computing geodesic saliency of images using background priors. An input image may be segmented into a plurality of patches, and a graph associated with the image may be generated, the graph comprising nodes and edges. The nodes of the graph include nodes that correspond to the plurality of patches of the image plus an additional virtual background node that is added to the graph. The graph further includes edges that connect the nodes to each other, including internal edges between adjacent patches and boundary edges between those patches at the boundary of the image and the virtual background node. Using this graph, a saliency value, called the “geodesic” saliency, for each patch of the image is determined as a length of a shortest path from a respective patch to the virtual background node.
Abstract translation: 这里公开了用于使用背景先验计算图像的测地学显着性的技术和系统。 可以将输入图像分割成多个片段，并且可以生成与图像相关联的图形，该图形包括节点和边缘。 图形的节点包括与图像的多个补丁相对应的节点以及添加到图形的附加虚拟背景节点。 该图进一步包括将节点彼此连接的边缘，包括相邻补丁之间的内部边缘和图像边界处的虚拟背景节点之间的这些补丁之间的边界边缘。 使用该图，对于图像的每个补丁，显着值（称为“测地线”）显着性被确定为从相应补丁到虚拟背景节点的最短路径的长度。
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公开(公告)号：US12266211B2
公开(公告)日：2025-04-01
申请号：US17777572
申请日：2020-11-11
Applicant: Microsoft Technology Licensing, LLC
Inventor： Jianmin Bao , Dong Chen , Hao Yang , Ting Zhang , Fang Wen , Baining Guo , Lingzhi Li
Abstract: In implementations of the subject matter as described herein, there is provided a method for forgery detection of a face image. Subsequent to inputting a face image, it is detected whether a blending boundary due to the blend of different images exists in the face image, and then a corresponding grayscale image is generated based on a result of the detection, where the generated grayscale image can reveal whether the input face image is formed by blending different images. If a visible boundary corresponding to the blending boundary exists in the generated grayscale image, it indicates that the face image is a forged image; on the contrary, if the visible boundary does not exist in the generated grayscale image, it indicates that the face image is a real image.
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公开(公告)号：US11430259B2
公开(公告)日：2022-08-30
申请号：US16584769
申请日：2019-09-26
Applicant: Microsoft Technology Licensing, LLC
Abstract: In implementations of the subject matter described herein, a solution for object detection is proposed. First, a feature(s) is extracted from an image and used to identify a candidate object region in the image. Then another feature(s) is extracted from the identified candidate object region. Based on the features extracted in these two stages, a target object region in the image and a confidence for the target object region are determined. In this way, the features that characterize the image from the whole scale and a local scale are both taken into consideration in object recognition, thereby improving accuracy of the object detection.
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Patent Agency Ranking
公开(公告)号：US10984222B2
公开(公告)日：2021-04-20
申请号：US16309817
申请日：2016-07-12
Applicant: Microsoft Technology Licensing, LLC
Inventor： Hsiang-Tao Wu , Xin Tong , Yangang Wang , Fang Wen
Abstract: The present disclosure provides method, apparatus and system for 3-dimension (3D) face tracking. The method for 3D face tracking may comprise: obtaining a 2-dimension (2D) face image; performing a local feature regression on the 2D face image to determine 3D face representation parameters corresponding to the 2D face image; and generating a 3D facial mesh and corresponding 2D facial landmarks based on the determined 3D face representation parameters. The present disclosure may improve tracking accuracy and reduce memory cost, and accordingly may be effectively applied in broader application scenarios.
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公开(公告)号：US10467459B2
公开(公告)日：2019-11-05
申请号：US15261761
申请日：2016-09-09
Applicant: Microsoft Technology Licensing, LLC
Abstract: In implementations of the subject matter described herein, a solution for object detection is proposed. First, a feature(s) is extracted from an image and used to identify a candidate object region in the image. Then another feature(s) is extracted from the identified candidate object region. Based on the features extracted in these two stages, a target object region in the image and a confidence for the target object region are determined. In this way, the features that characterize the image from the whole scale and a local scale are both taken into consideration in object recognition, thereby improving accuracy of the object detection.
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公开(公告)号：US20180075290A1
公开(公告)日：2018-03-15
申请号：US15261761
申请日：2016-09-09
Applicant: Microsoft Technology Licensing, LLC
CPC classification number: G06K9/00281 , G06K9/00228 , G06K9/00248 , G06K9/4628 , G06K9/6271
Abstract: In implementations of the subject matter described herein, a solution for object detection is proposed. First, a feature(s) is extracted from an image and used to identify a candidate object region in the image. Then another feature(s) is extracted from the identified candidate object region. Based on the features extracted in these two stages, a target object region in the image and a confidence for the target object region are determined. In this way, the features that characterize the image from the whole scale and a local scale are both taken into consideration in object recognition, thereby improving accuracy of the object detection.
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公开(公告)号：US12079936B2
公开(公告)日：2024-09-03
申请号：US17615084
申请日：2020-06-08
Applicant: Microsoft Technology Licensing, LLC
Inventor： Jiaolong Yang , Fang Wen , Dong Chen , Xin Tong
CPC classification number: G06T19/00 , G06T7/11 , G06T7/50 , G06T11/00 , G06T17/00 , G06V40/16 , G06T2200/08 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084 , G06T2207/20212 , G06T2207/30201
Abstract: In accordance with implementations of the present disclosure, there is provided a solution for portrait editing and synthesis. In this solution, a first image about a head of a user is obtained. A three-dimensional head model representing the head of the user is generated based on the first image. In response to receiving a command of changing a head feature of the user, the three-dimensional head model is transformed to reflect the changed head feature. A second image about the head of the user is generated based on the transformed three-dimensional head model, and reflects the changed head feature of the user. In this way, the solution can realize editing of features like a head pose and/or a facial expression based on a single portrait image without manual intervention and automatically synthesize a corresponding image.
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公开(公告)号：US20180285668A1
公开(公告)日：2018-10-04
申请号：US15763619
申请日：2015-10-30
Applicant: Jinyu LI , Fang WEN , Yichen WEI , Michael John CONRAD , Chun-Te CHU , Aamir JAWAID , Microsoft Technology Licensing, LLC
Inventor： Jinyu Li , Fang Wen , Yichen Wei , Michael John Conrad , Chun-Te Chu , Aamir Jawaid
CPC classification number: G06K9/00899 , G06K9/00288 , G06K9/4642 , G06K9/4652 , G06K9/6217 , G06K9/6269 , G06K2009/4666
Abstract: Examples are disclosed herein that relate to detecting spoofed human faces. One example provides a computing device comprising a processor configured to compute a first feature distance between registered image data of a human face in a first spectral region and test image data of the human face in the first spectral region, compute a second feature distance between the registered image data and test image data of the human face in a second spectral region, compute a test feature distance between the test image data in the first spectral region and the test image data in the second spectral region, determine, based on a predetermined relationship, whether the human face to which the test image data in the first and second spectral regions corresponds is a real human face or a spoofed human face, and modify a behavior of the computing device.
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