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1. 发明申请

US20200242355A1 METHODS AND APPARATUS TO CONVERT IMAGES FOR COMPUTER-VISION SYSTEMS 审中-公开
公开(公告)号：US20200242355A1
公开(公告)日：2020-07-30
申请号：US16649566
申请日：2017-11-29
申请人： Intel Corporation
发明人： Tae-Hoon Kim , Minje Park
IPC分类号： G06K9/00 , G06K9/20 , G06K9/62 , G06N3/04 , G06N3/08
摘要： Methods and apparatus to convert images for computer-vision systems are disclosed. An example computer-vision system includes an image converter (112) to convert a near infrared light first image (202) to form a visible light image (206), and to update a coefficient of the image converter (112) based on a difference (214), an object recognizer (102) to recognize an object (208) in the first visible light image (206), and an object recognition analyzer (210) to determine the difference (214) between the object (208) recognized in the first visible light image (206) and an object (212) associated with the near infrared light image (202).

2. 发明授权

US09940550B2 Model compression in binary coded image based object detection 有权
公开(公告)号：US09940550B2
公开(公告)日：2018-04-10
申请号：US15434563
申请日：2017-02-16
申请人： Intel Corporation
发明人： Ke Chen , Bongjin Jun , Yi-Jen Chiu , Tae-Hoon Kim , Dukhwan Kim
IPC分类号： G06K9/00 , G06K9/62 , H04N19/90
CPC分类号： G06K9/6267 , G06K9/00228 , G06K9/4609 , G06K9/6203 , G06K9/6257 , G06K2009/4666 , H04N19/90
摘要： Techniques related to object detection using binary coded images are discussed. Such techniques may include performing object detection based on multiple spatial correlation mappings between a generated binary coded image and a binary coded image based object detection model and nesting look up tables such that binary coded representations are grouped and such groups are associated with confidence values for performing object detection.

3. 发明授权

US09727786B2 Visual object tracking system with model validation and management 有权
公开(公告)号：US09727786B2
公开(公告)日：2017-08-08
申请号：US14541981
申请日：2014-11-14
申请人： Intel Corporation
发明人： Jinwook Lee , Yongchan Park , Hongmo Je , Tae-Hoon Kim
IPC分类号： G06K9/00 , G06K9/46 , G06T7/246
CPC分类号： G06K9/00711 , G06K9/4642 , G06K9/4652 , G06T7/246
摘要： System, apparatus, method, and computer readable media for on-the-fly captured image data object tracking. An image or video stream is processed to detect and track an object in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are processed at a rate of 30 fps, or more, to track one or more target object. In embodiments, object detection is validated prior to employing detected object descriptor(s) as learning data to generate or update an object model. A device platform including a camera module and comporting with the exemplary architecture may provide 3A functions based on objects robustly tracked in accordance with embodiments.

4. 发明申请

US20160300099A1 FACILITATING EFFICEINT FREE IN-PLANE ROTATION LANDMARK TRACKING OF IMAGES ON COMPUTING DEVICES 审中-公开
标题翻译：在计算机设备上实现图像的免费平面图旋转朗读跟踪
公开(公告)号：US20160300099A1
公开(公告)日：2016-10-13
申请号：US14762687
申请日：2014-09-25
申请人： INTEL CORPORATION
发明人： SHEN XIAOLU , Yangzhou Du , Minje Park , Yeongjae Cheon , Olivier Duchenne , Tae-Hoon Kim
IPC分类号： G06K9/00 , G06T7/00 , G06F3/01 , G06T7/20 , G06T1/00
摘要： A mechanism is described for facilitating efficient free in-plane rotation landmark tracking of images on computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a first frame having a first image and a second frame having a second image, where the second image is rotated to a position away from the first image. The method may further include assigning a first parameter line and a second parameter line to the second image based on landmark positions associated with the first and second images, detecting a rotation angle between the first parameter line and the second parameter line, and rotating the second image back and forth within a distance associated with the rotation angle to verify positions of the first and second images.
摘要翻译：描述了根据一个实施例的用于促进计算设备上的图像的有效的自由面内旋转地标跟踪的机构。如本文所述的实施例的方法包括检测具有第一图像的第一帧和具有第二图像的第二帧，其中第二图像旋转到远离第一图像的位置。该方法还可以包括基于与第一和第二图像相关联的界标位置向第二图像分配第一参数线和第二参数线，检测第一参数线和第二参数线之间的旋转角度，以及旋转第二参数线在与旋转角度相关联的距离内来回显示图像，以验证第一和第二图像的位置。

5. 发明授权

US11335106B2 Methods and apparatus to convert images for computer-vision systems 有权
公开(公告)号：US11335106B2
公开(公告)日：2022-05-17
申请号：US16649566
申请日：2017-11-29
申请人： Intel Corporation
发明人： Tae-Hoon Kim , Minje Park
IPC分类号： G06K9/00 , G06V20/80 , G06K9/62 , G06N3/04 , G06N3/08 , G06V10/143
摘要： An example computer-vision system to convert images includes an image converter (112) to convert a near infrared light first image (202) to form a visible light image (206), and to update a coefficient of the image converter (112) based on a difference (214), an object recognizer (102) to recognize an object (208) in the first visible light image (206), and an object recognition analyzer (210) to determine the difference (214) between the object (208) recognized in the first visible light image (206) and an object (212) associated with the near infrared light image (202).

6. 发明授权

US09864756B2 Method, apparatus for providing a notification on a face recognition environment, and computer-readable recording medium for executing the method 有权
公开(公告)号：US09864756B2
公开(公告)日：2018-01-09
申请号：US14939093
申请日：2015-11-12
申请人： Intel Corporation
发明人： Minje Park , Tae-Hoon Kim
IPC分类号： G06F17/30 , G06K9/03 , H04N5/232 , G06K9/00
CPC分类号： G06F17/30247 , G06K9/00221 , G06K9/00241 , G06K9/00248 , G06K9/00281 , G06K9/00912 , G06K9/03 , G06K9/033 , G06K9/036 , H04N5/23219 , H04N5/23222
摘要： According to a method for providing a notification on a face recognition environment of the present disclosure, the method includes obtaining an input image that is input in a preview state, comparing feature information for a face included in the input image with feature information for a plurality of reference images of people stored in a predetermined database to determine, in real-time, whether the input image satisfies a predetermined effective condition for photographing. The predetermined effective condition for photographing is information regarding a condition necessary for recognizing the face included in the input image at a higher accuracy level than a predetermined accuracy level. The method further includes providing a user with a predetermined feedback for photographing guidance that corresponds to whether the predetermined effective condition for photographing is satisfied. According to the method, a condition of a face image detected for face recognition is checked, and if there is an unsuitable element in recognizing the face, it is notified to a user such that an obstruction environment hindering the face recognition by the user is removed, for enhancing a success rate of the face recognition.

7. 发明授权

US09727775B2 Method and system of curved object recognition using image matching for image processing 有权
公开(公告)号：US09727775B2
公开(公告)日：2017-08-08
申请号：US14956249
申请日：2015-12-01
申请人： INTEL CORPORATION
发明人： Wooju Ryu , Tae-Hoon Kim , Minje Park , Boogeon Yoon , Jinwook Lee
IPC分类号： G06K9/00 , G06K9/46 , G06K9/48 , G06T7/00 , G06T1/20
CPC分类号： G06K9/00208 , G06K9/00214 , G06K9/4604 , G06K9/4676 , G06K9/481 , G06K9/6211 , G06T7/0061 , G06T7/149
摘要： A system, article, and method of curved object recognition using image matching for image processing.

8. 发明申请

US20170154248A1 Multi-Scale Computer Vision 审中-公开
公开(公告)号：US20170154248A1
公开(公告)日：2017-06-01
申请号：US14953748
申请日：2015-11-30
申请人： Intel Corporation
发明人： Tae-Hoon Kim
IPC分类号： G06K9/66 , H04L29/08 , G06F17/30
CPC分类号： G06K9/66 , G06F16/5838 , G06K9/00624 , G06K9/00664 , G06K2209/21 , H04L67/32
摘要： Attributes of large scale computer vision systems may be made available to users of more limited processor-based systems by dynamically and adaptively updating recognizers into a smaller scale device from a connected larger scale device, based on the user's situational context and behavior. A recognizer is a hardware, software or firmware module specialized to use computer vision to recognize a defined class of imaged objects.

9. 发明授权

US09460338B2 Face detection method and apparatus with lookup table 有权
标题翻译：人脸检测方法和装置与查找表
公开(公告)号：US09460338B2
公开(公告)日：2016-10-04
申请号：US14566312
申请日：2014-12-10
申请人： Intel Corporation
发明人： Jinwook Lee , Bongjin Jun , Tae-Hoon Kim
IPC分类号： G06T7/00 , G06K9/00
CPC分类号： G06K9/00275 , G06K9/00228 , G06K9/00281 , G06K9/00973 , G06K9/68 , G06T2207/10004 , G06T2207/30201
摘要： Apparatuses, methods and storage medium associated with face detection are disclosed. In embodiments, an apparatus may comprise one or more processors, cache memory, a lookup table of feature patterns, and a face detector. The lookup table is to be loaded into the cache memory, during operation, for use to detect whether a face is present in an image. The feature patterns within the lookup table are organized within the lookup table in accordance with relative connectivity of the feature patterns. The face detector to detect whether a face is present in an image, may use the lookup table of feature patterns loaded into the cache memory during detection for the face. Other embodiments may be described and/or claimed.
摘要翻译：公开了与面部检测相关联的装置，方法和存储介质。在实施例中，装置可以包括一个或多个处理器，高速缓冲存储器，特征图案的查找表和面部检测器。在操作期间，查找表将被加载到高速缓冲存储器中，以用于检测图像中是否存在面部。根据特征图案的相对连接性，查找表内的特征图案被组织在查找表内。用于检测脸部是否存在于图像中的脸部检测器可以在检测脸部期间使用加载到高速缓冲存储器中的特征图案的查找表。可以描述和/或要求保护其他实施例。

10. 发明授权

US10475225B2 Avatar animation system 有权
公开(公告)号：US10475225B2
公开(公告)日：2019-11-12
申请号：US15124811
申请日：2015-12-18
申请人： INTEL CORPORATION
发明人： Minje Park , Tae-Hoon Kim , Myung-Ho Ju , Jihyeon Yi , Xiaolu Shen , Lidan Zhang , Qiang Li
IPC分类号： G06T13/40 , G06T7/73 , G06T17/20
摘要： 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. The machine learning component may be trained using a set of training images that depict human facial expressions and avatar animation authored by professional animators to reflect facial expressions depicted in the set of training images.

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