Patents by Inventor Lidan ZHANG
Lidan ZHANG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210312642Abstract: A long-term object tracker employs a continuous learning framework to overcome drift in the tracking position of a tracked object. The continuous learning framework consists of a continuous learning module that accumulates samples of the tracked object to improve the accuracy of object tracking over extended periods of time. The continuous learning module can include a sample pre-processor to refine a location of a candidate object found during object tracking, and a cropper to crop a portion of a frame containing a tracked object as a sample and to insert the sample into a continuous learning database to support future tracking.Type: ApplicationFiled: January 3, 2019Publication date: October 7, 2021Inventors: Lidan ZHANG, Ping GUO, Haibing REN, Yimin ZHANG
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Publication number: 20210248427Abstract: A system, article, and method of neural network object recognition for image processing includes customizing a training database and adapting an instance segmentation neural network used to perform the customization.Type: ApplicationFiled: October 26, 2018Publication date: August 12, 2021Applicant: Intel CorporationInventors: Ping GUO, Lidan ZHANG, Haibing REN, Yimin ZHANG
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Publication number: 20210069571Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.Type: ApplicationFiled: November 9, 2020Publication date: March 11, 2021Inventors: Qiang Eric Li, Wenlong Li, Shaohui Jiao, Yikai Fang, Xiaolu Shen, Lidan Zhang, Xiaofeng Tong, Fucen Zeng
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Publication number: 20210026941Abstract: An example apparatus is disclosed herein that includes a memory and at least one processor. The at least one processor is to execute instructions to: select a gesture from a database, the gesture including a sequence of poses; translate the selected gesture into an animated avatar performing the selected gesture for display at a display device; display a prompt for the user to perform the selected gesture performed by the animated avatar; capture an image of the user performing the selected gesture; and perform a comparison between a gesture performed by the user in the captured image and the selected gesture to determine whether there is a match between the gesture performed by the user and the selected gesture.Type: ApplicationFiled: October 8, 2020Publication date: January 28, 2021Inventors: Wenlong LI, Xiaolu SHEN, Lidan ZHANG, Jose E. LORENZO, Qiang LI, Steven HOLMES, Xiaofeng TONG, Yangzhou DU, Mary SMILEY, Alok MISHRA
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Patent number: 10828549Abstract: System and techniques for positional analysis using computer vision sensor synchronization are described herein. A set of sensor data may be obtained for a participant of an activity. A video stream may be captured in response to detection of a start of the activity in the set of sensor data. The video stream may include images of the participant engaging in the activity. A key stage of the activity may be identified by evaluation of the sensor data. A key frame may be selected from the video stream using a timestamp of the sensor data used to identify the key stage of the activity. A skeletal map may be generated for the participant in the key frame using key points of the participant extracted from the key frame. Instructional data may be selected using the skeletal map. The instructional data may be displayed on a display device.Type: GrantFiled: December 30, 2016Date of Patent: November 10, 2020Assignee: Intel CorporationInventors: Qiang Eric Li, Wenlong Li, Shaohui Jiao, Yikai Fang, Xiaolu Shen, Lidan Zhang, Xiaofeng Tong, Fucen Zeng
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Patent number: 10803157Abstract: A mechanism is described to facilitate gesture matching according to one embodiment. A method of embodiments, as described herein, includes selecting a gesture from a database during an authentication phase, translating the selected gesture into an animated avatar, displaying the avatar, prompting a user to perform the selected gesture, capturing a real-time image of the user and comparing the gesture performed by the user in the captured image to the selected gesture to determine whether there is a match.Type: GrantFiled: March 28, 2015Date of Patent: October 13, 2020Assignee: Intel CorporationInventors: Wenlong Li, Xiaolu Shen, Lidan Zhang, Jose E. Lorenzo, Qiang Li, Steven Holmes, Xiaofeng Tong, Yangzhou Du, Mary Smiley, Alok Mishra
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Patent number: 10776980Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.Type: GrantFiled: January 7, 2019Date of Patent: September 15, 2020Assignee: Intel CorporationInventors: Shaohui Jiao, Xiaolu Shen, Lidan Zhang, Qiang Li, Wenlong Li
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Publication number: 20200193864Abstract: Systems and techniques for sensor-derived swing hit and direction detection are described herein. A set of sensor values may be compressed into a first lower dimension (2105). Features may be extracted from the compressed set of sensor values (2110). The features may be clustered into a set of clusters (2115). A swing action may be detected based on a distance between members of the set of clusters (2120).Type: ApplicationFiled: September 8, 2017Publication date: June 18, 2020Inventors: Yikai Fang, Xiaofeng Tong, Lidan Zhang, Qiang Eric Li, Wenlong Li
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Publication number: 20200051306Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: ApplicationFiled: October 17, 2019Publication date: February 13, 2020Applicant: INTEL CORPORATIONInventors: Minje Park, Tae-Hoon Kim, Myung-Ho Ju, Jihyeon Yi, Xiaolu Shen, Lidan Zhang, Qiang Li
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Patent number: 10475225Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: GrantFiled: December 18, 2015Date of Patent: November 12, 2019Assignee: Intel CorporationInventors: Minje Park, Tae-Hoon Kim, Myung-Ho Ju, Jihyeon Yi, Xiaolu Shen, Lidan Zhang, Qiang Li
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Publication number: 20190213774Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.Type: ApplicationFiled: January 7, 2019Publication date: July 11, 2019Inventors: Shaohui JIAO, Xiaolu SHEN, Lidan ZHANG, Qiang LI, Wenlong LI
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Patent number: 10176619Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.Type: GrantFiled: July 30, 2015Date of Patent: January 8, 2019Assignee: Intel CorporationInventors: Shaohui Jiao, Xiaolu Shen, Lidan Zhang, Qiang Li, Wenlong Li
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Publication number: 20180060550Abstract: A mechanism is described to facilitate gesture matching according to one embodiment. A method of embodiments, as described herein, includes selecting a gesture from a database during an authentication phase, translating the selected gesture into an animated avatar, displaying the avatar, prompting a user to perform the selected gesture, capturing a real-time image of the user and comparing the gesture performed by the user in the captured image to the selected gesture to determine whether there is a match.Type: ApplicationFiled: March 28, 2015Publication date: March 1, 2018Applicant: Intel CorporationInventors: Wenlong LI, Xiaolu SHEN, Lidan ZHANG, Jose E. LORENZO, Qiang LI, Steven HOLMES, Xiaofeng TONG, Yangzhou DU, Mary SMILEY, Alok MISHRA
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Publication number: 20170256086Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: ApplicationFiled: December 18, 2015Publication date: September 7, 2017Applicant: INTEL CORPORATIONInventors: MINJE PARK, TAE-HOON KIM, MYUNG-HO JU, JIHYEON YI, XIAOLU SHEN, LIDAN ZHANG, QIANG LI
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Publication number: 20170206694Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.Type: ApplicationFiled: July 30, 2015Publication date: July 20, 2017Inventors: Shaohui JIAO, Xiaolu SHEN, Lidan ZHANG, Qiang LI, Wenlong LI
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Publication number: 20170069124Abstract: Apparatuses, methods and storage medium associated with generating and animating avatars are disclosed herein. In embodiments, an apparatus may comprise an avatar generator to receive an image having a face of a user; analyze the image to identify various facial and related components of the user; access an avatar database to identify corresponding artistic renditions for the various facial and related components stored in the database; and combine the corresponding artistic renditions for the various facial and related components to form an avatar, without user intervention. In embodiments, the apparatus may further comprise an avatar animation engine to animate the avatar in accordance with a plurality of animation messages having facial expression or head pose parameters that describe facial expressions or head poses of a user determined from an image of the user. Other embodiments may be disclosed and/or claimed.Type: ApplicationFiled: April 7, 2015Publication date: March 9, 2017Inventors: Xiaofeng TONG, Wenlong LI, Xiaolu SHEN, Lidan ZHANG, Qiang LI
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Publication number: 20160361653Abstract: A mechanism is described to facilitate dynamic selection of avatars according to one embodiment. A method of embodiments, as described herein, includes acquiring user attributes, analyzing the user attributes and facilitating selection of an avatar based on the user attributes.Type: ApplicationFiled: December 11, 2014Publication date: December 15, 2016Applicant: Intel CorporationInventors: Lidan ZHANG, Xiaofeng TONG, Yangzhou DU, Wenlong Li, Xiaolu SHEN, Margaret E. MORRIS, Glen J. ANDERSON
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Publication number: 20160300100Abstract: Apparatuses, methods and storage medium associated with capturing images are disclosed herein. In embodiments, the apparatus may include a face tracker to receive an image frame, analyze the image frame for a face, and on identification of a face in the image frame, evaluate the face to determine whether the image frame comprises an acceptable or unacceptable face pose. Further, the face tracker may be configured to provide instructions for taking another image frame, on determination of the image frame having an unacceptable face pose, with the instructions designed to improve likelihood that the other image frame will comprise an acceptable face pose. Other embodiments may be described and/or claimed.Type: ApplicationFiled: November 10, 2014Publication date: October 13, 2016Inventors: Xiaolu SHEN, Lidan ZHANG, Wenlong LI, Yangzhou DU, Fucen ZENG, Qiang LI, Xiaofeng TONG