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11.发明申请Method for detecting facial expressions of a portrait photo by an image capturing electronic device 有权用于通过图像捕获电子设备检测人像照片的面部表情的方法公开(公告)号：US20080025576A1
公开(公告)日：2008-01-31
申请号：US11492076
申请日：2006-07-25
IPC分类号： G06K9/00
CPC分类号： G06K9/00281 , G06K9/00308 , G06K9/00597 , H04N5/232 , H04N5/23219 , H04N5/23222
摘要： In a method for detecting facial expressions of a portrait photo by an image capturing electronic device, a face captured in the portrait photo is detected. The position and range of the opened and closed facial features are detected, and the facial features within an identified range are magnified according to a specific proportion. A patch of facial features and their surroundings within a specific range is cut according to the magnified identified range, so that the patch can show a change of facial expressions and a specific range of their surroundings. A facial feature classifier is trained by a specific number of opened and closed facial feature samples based on the Adaboost algorithm and used for detecting the facial features in the patch to determine whether the facial feature is situated at an opened state or a closed state.
摘要翻译： 在通过图像拍摄电子设备检测人像照片的面部表情的方法中，检测在肖像照片中捕获的脸部。 检测打开和关闭的面部特征的位置和范围，并且根据特定比例放大识别范围内的面部特征。 根据放大的识别范围切割特定范围内的一些面部特征及其周围环境，以便贴片可以显示面部表情的变化及其周围环境的特定范围。 面部特征分类器基于Adaboost算法由特定数量的开放和闭合的面部特征样本训练，并用于检测贴片中的面部特征，以确定面部特征是处于打开状态还是关闭状态。
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12.发明授权Method for detecting facial expressions of a portrait photo by an image capturing electronic device 有权用于通过图像捕获电子设备检测人像照片的面部表情的方法公开(公告)号：US07715598B2
公开(公告)日：2010-05-11
申请号：US11492076
申请日：2006-07-25
IPC分类号： G06K9/00
CPC分类号： G06K9/00281 , G06K9/00308 , G06K9/00597 , H04N5/232 , H04N5/23219 , H04N5/23222
摘要： In a method for detecting facial expressions of a portrait photo by an image capturing electronic device, a face captured in the portrait photo is detected. The position and range of the opened and closed facial features are detected, and the facial features within an identified range are magnified according to a specific proportion. A patch of facial features and their surroundings within a specific range is cut according to the magnified identified range, so that the patch can show a change of facial expressions and a specific range of their surroundings. A facial feature classifier is trained by a specific number of opened and closed facial feature samples based on the Adaboost algorithm and used for detecting the facial features in the patch to determine whether the facial feature is situated at an opened state or a closed state.
摘要翻译： 在通过图像拍摄电子设备检测人像照片的面部表情的方法中，检测在肖像照片中捕获的脸部。 检测打开和关闭的面部特征的位置和范围，并且根据特定比例放大识别范围内的面部特征。 根据放大的识别范围切割特定范围内的一些面部特征及其周围环境，以便贴片可以显示面部表情的变化及其周围环境的特定范围。 面部特征分类器基于Adaboost算法由特定数量的开放和闭合的面部特征样本训练，并用于检测贴片中的面部特征，以确定面部特征是处于打开状态还是关闭状态。
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公开(公告)号：US20080089560A1
公开(公告)日：2008-04-17
申请号：US11545423
申请日：2006-10-11
IPC分类号： G06K9/00
CPC分类号： G06K9/00261 , G06K9/3233
摘要： A known face guided imaging method applied for an electronic imaging device uses the scale of a known face sensed in a previous frame to define a scale range of a searching window, which adds a scale constraint into the searching window so as to search a current frame horizontally and vertically in the searching window to perform a face searching loop for a face. The invention simply sends a corresponding image patch within the scale range to a face detector for the face detection, and the searching space is constrained in a small group of scale ranges without the need of detecting the whole image of various different scales within the scale range, and thus the invention effectively reduces the huge quantity of computing values required for the detection process and greatly enhances the speed and efficiency of the face detection.
摘要翻译： 应用于电子成像装置的已知的面部引导成像方法使用在先前帧中感测到的已知脸部的比例来定义搜索窗口的比例范围，该搜索窗口将比例约束添加到搜索窗口中，以便搜索当前帧 在搜索窗口中水平和垂直地执行面部的面部搜索循环。 本发明简单地将尺度范围内的对应图像补丁发送到用于面部检测的面部检测器，并且搜索空间被限制在一小组范围内，而不需要检测尺度范围内的各种不同尺度的整个图像 因此本发明有效地减少了检测过程所需的大量计算值，大大提高了人脸检测的速度和效率。
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公开(公告)号：US11271659B1
公开(公告)日：2022-03-08
申请号：US17001299
申请日：2020-08-24
申请人： Mrinmoy Jana , Jeebak Mitra , Lutz Hans-Joachim Lampe , Jin Wang , Zhuhong Zhang
发明人： Mrinmoy Jana , Jeebak Mitra , Lutz Hans-Joachim Lampe , Jin Wang , Zhuhong Zhang
摘要： A receiver architecture is described for phase noise compensation in the presence of inter-channel interference (ICI) and inter-symbol interference (ISI), particularly for time-frequency packing (TFP) transmissions. The receiver includes a coarse phase noise (PN) estimator, a PN compensation module, an ICI cancellation module, an ISI compensation module, a FEC decoder, and an iterative PN estimator. The iterative PN estimator receives log likelihood ratio (LLR) information from the decoder and provides an iterative PN estimation to the PN compensation module. The decoder also provides LLR to the ISI compensation module, and to at least one other receiver for another subchannel that is immediately adjacent in frequency. The ICI cancellation module receives decoder output from at least one adjacent subchannel, which the ICI cancellation module uses to provide a ICI-cancelled signal.
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公开(公告)号：US11172493B2
公开(公告)日：2021-11-09
申请号：US13424906
申请日：2012-03-20
申请人： Jin Wang , Arty Chandra , John S. Chen , Mohammed Sammour , Stephen E. Terry
发明人： Jin Wang , Arty Chandra , John S. Chen , Mohammed Sammour , Stephen E. Terry
摘要： The present invention is a method and apparatus for resource allocation signaling for grouping user real time services. Uplink signaling for voice activity reporting of each user's transition between an active state and an inactive voice state is sent from a wireless transmit/receive unit to a Node B. Radio resource allocation to users of a wireless communication system varies based on user measurement reporting, a pre-determined pattern such as frequency hopping, or a pseudorandom function. Grouping methods are adjusted to better utilize the voice activity factor, so that statistical multiplexing can be used to more efficiently utilize physical resources.
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19.发明申请公开(公告)号：US20210012911A1
公开(公告)日：2021-01-14
申请号：US17037337
申请日：2020-09-29
申请人： Qiang Wang , Jin Wang , Yong Wang
发明人： Qiang Wang , Jin Wang , Yong Wang
摘要： A unified Internet integration system for a positioning-oriented architecture (POA) comprises a controllable icon positioning information management service (CIPIMS) server; an icon positioning object information bus; at least one icon positioning resource object; at least one network application; at least one network; wherein the POA further comprises at least one unique icon positioning identification number, at least one icon positioning resource, at least one icon positioning resource space management, at least one icon positioning resource management, at least one icon positioning external resource links with Internet protocol address, and at least one icon positioning resource status management; and the method thereof.
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公开(公告)号：US20170357678A1
公开(公告)日：2017-12-14
申请号：US15664152
申请日：2017-07-31
申请人： Qiang Wang , Jin Wang , Xinwei Wang
发明人： Qiang Wang , Jin Wang , Xinwei Wang
CPC分类号： G06F16/2282 , G06F17/245 , G06Q10/10
摘要： Now in this busy world, users heavily rely on the internet to browse over the internet map such as Google map, Mapquest map, Baidu map, QQmap, Gaode map, Soho map etc to find and identify the targets users interested through different markers, the Markers on internet maps are first windows or first doors to enter into internet world to get contact with business entities or business service providers,But so far there is no theory, no system, no way and no approach to differentiate these numerous different kinds of markers or to provide a solution to let users manipulate and control the various markers on the internet map to classify and clarify numerous markers displayed on the internet map after searching, especially in business bustling areas in the metropolis such as New York, London, Tokyo, Hong Kong, Singapore, Shanghai and Beijing etc. Furthermore, there are a lot of markers that have same latitude/same longitude and all markers overlapped each other and user cannot differentiate each others, for example, in one building with same latitude/same longitude on Google map, there are 10 different companies which each of them occupies a different room with different number or suite number in this building, all maps cannot distinguish each of these 10 companies, and on Google map, we can only see ONE marker which is appeared in last, If users want to know details of each company's information, no way.So the necessity and feasibility of classification and recognition of all these overlapped markers come to the stage and become possible.Our invention is to propose an approach and a methodology to solve these kind of issues, further more, we propose a theory to let user manipulate the markers on the internet map with some rules to follow.Our invention is generic and can be used in any internet map on both PC browsers (such as internet explorer, firefox etc) and smartphone for any internet maps such as Google MAp, Baidu Map, Gaode Map, QQ Map and Soho Map etc.Our invention is designed in Android system but can be applicable for Apple IOs system also.Our Android App successfully implements these methodology and concepts, we deployed and tested our Android app in all android smart phone successfully already.Our invention can let users do followings:1. Classify different kinds of markers on the internet map2. Manipulate all different kinds of markers on the internet map3. Manipulation Operations include:[1]. Add markers onto the internet map[2]. Remove markers from the internet map[3]. Distinguish all different markers on the internet map without any confusion[4]. Perform all these operation from any markers on the internet mapOur solution and methodology can let users pinpoint to the main targeted markers without diluting their focus and distracted from concerned target by other trivia, unimportant and unrelated markers, users can concentrate on specific area, special marker group, specific markers without any confusion and distraction by just simple operation invented here, so our invention provides a clear, concise and clean internet map instead of messed up ones.From now on we just use Lat or lat stands for Latitude and Lng or Ing stands for Longitude, ieLat/lat=Latitude;Lng/Ing=Longitude.We also use all markers for all icons/markers, we use maps for all internet maps .We will disclose our invention as follows step by step.
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