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公开(公告)号：US20170221272A1
公开(公告)日：2017-08-03
申请号：US15010847
申请日：2016-01-29
Applicant: Jia Li , Linjie Luo , Rahul Sheth , Ning Xu , Jianchao Yang
Inventor： Jia Li , Linjie Luo , Rahul Sheth , Ning Xu , Jianchao Yang
CPC classification number: G06T19/20 , G06T7/204 , G06T7/248 , G06T19/006 , G06T2207/20104 , H04L51/32
Abstract: Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.
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2.发明申请Robust Patch Regression based on In-Place Self-similarity for Image Upscaling 有权基于图像升高的就地自相似性的鲁棒补丁回归公开(公告)号：US20130034299A1
公开(公告)日：2013-02-07
申请号：US13565411
申请日：2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
IPC: G06K9/32
CPC classification number: G06T3/4053
Abstract: Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
Abstract translation: 公开了用于图像放大的方法和系统。 在一个实施例中，从输入图像获得低频带图像中间体。 输入图像由比例因子上采样，以获得上采样图像中间值。 至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。
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3.发明授权公开(公告)号：US06567858B1
公开(公告)日：2003-05-20
申请号：US09400004
申请日：1999-09-20
Applicant: Jianchao Yang , Yuan Yuan Yang
Inventor： Jianchao Yang , Yuan Yuan Yang
IPC: G06F15173
CPC classification number: H04Q11/0005 , H04Q2011/0024 , H04Q2011/0054
Abstract: Systems and methods are presented to achieve crosstalk-free all-to-all exchange in optical multistage self-routing networks. The approach involves the computation of a Latin square and the subsequent decomposition of its rows to semi-permutations. Processors may then send messages to other processors in accord with these semi-permutations.
Abstract translation: 提出了系统和方法，以实现光多段自路由网络中无串扰的全对所有交换。 该方法涉及拉丁方的计算和随后的行分解为半排列。 处理器然后可以根据这些半排列将消息发送到其他处理器。
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公开(公告)号：US20180107866A1
公开(公告)日：2018-04-19
申请号：US15297789
申请日：2016-10-19
Applicant: Jia Li , Xutao Lv , Xiaoyu Xiaoyu , Xuehan Xiong , Jianchao Yang
Inventor： Jia Li , Xutao Lv , Xiaoyu Xiaoyu , Xuehan Xiong , Jianchao Yang
CPC classification number: G06K9/00288 , G06K9/00281 , G06T7/11 , G06T2207/20076 , G06T2207/20112
Abstract: Systems, devices, media, and methods are presented for modeling facial representations using image segmentation with a client device. The systems and methods receive an image depicting a face, detect at least a portion of the face within the image, and identify a set of facial features within the portion of the face. The systems and methods generate a descriptor function representing the set of facial features, fit object functions of the descriptor function, identify an identification probability for each facial feature, and assign an identification to each facial feature.
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公开(公告)号：US08805165B2
公开(公告)日：2014-08-12
申请号：US12942391
申请日：2010-11-09
Applicant: Jiebo Luo , Jianchao Yang
Inventor： Jiebo Luo , Jianchao Yang
CPC classification number: G06F17/30247 , G06F17/30265 , G06F17/30781
Abstract: A method for organizing individual collections of images or videos captured for the same event by different cameras into a master collection, wherein each individual collection forms a media stream in chronological order, includes using a processor to provide the following steps: extracting image features for each image or video of the media stream of each individual collection; analyzing the extracted features to align the media streams to form a master stream in chronological order of the event over a common timeline; producing a master collection of images or videos of the event from the master stream by removing redundant images or videos; and storing, displaying or transmitting the master collection.
Abstract translation: 一种用于将由不同摄像机捕获的相同事件的图像或视频的个体集合组织成主集合的方法，其中每个单独集合以时间顺序形成媒体流，包括使用处理器提供以下步骤：为每个集合提取图像特征 每个单独集合的媒体流的图像或视频; 分析提取的特征以使媒体流对准以在公共时间线上的事件的时间顺序形成主流; 通过删除冗余图像或视频，从主流中产生主题集合的图像或视频; 并存储，显示或发送主集合。
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Patent Agency Ranking
公开(公告)号：US08731337B2
公开(公告)日：2014-05-20
申请号：US13565379
申请日：2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
CPC classification number: G06T3/4053
Abstract: Methods and systems for denoising and artifact removal in image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. An upsampled image intermediate is obtained from the input image by upsampling. A result image is estimated, based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image. The input image is of a smaller scale than the result image. The estimating the result image further includes eliminating from the result image noise that is present in the input image.
Abstract translation: 公开了在图像升高中去除和去除伪影的方法和系统。 在一个实施例中，从输入图像获得低频带图像中间体。 通过上采样从输入图像获得上采样图像中间值。 至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像。 输入图像的尺寸小于结果图像。 估计结果图像还包括消除输入图像中存在的结果图像噪声。
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公开(公告)号：US20100124377A1
公开(公告)日：2010-05-20
申请号：US12469073
申请日：2009-05-20
Applicant: Kai Yu , Jianchao Yang , Yihong Gong
Inventor： Kai Yu , Jianchao Yang , Yihong Gong
IPC: G06K9/62
CPC classification number: G06K9/6249 , G06K9/4671
Abstract: Systems and methods are disclosed to classify an input image by determining a spatial-pyramid image representation based on sparse coding; determining a descriptor for each interest point in the input image; encoding the descriptor; and applying max pooling to form the spatial pyramid representation of images.
Abstract translation: 公开了系统和方法，以通过基于稀疏编码确定空间 - 金字塔图像表示来对输入图像进行分类; 确定所述输入图像中每个兴趣点的描述符; 编码描述符; 并应用最大池来形成图像的空间金字塔表示。
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公开(公告)号：US20120114307A1
公开(公告)日：2012-05-10
申请号：US12942422
申请日：2010-11-09
Applicant: Jianchao Yang , Jiebo Luo
Inventor： Jianchao Yang , Jiebo Luo
IPC: H04N5/93
CPC classification number: G06F16/58 , G06F16/5838 , G06F16/70
Abstract: A method for organizing and annotating individual collections of images or videos captured for the same event by different cameras into a master collection, wherein each individual collection forms a media stream in chronological order, includes using a processor to provide the following steps: extracting image features for each image or video of the media stream of each individual collection; analyzing the extracted features to align the media streams in chronological order of the event over a common timeline; transferring annotation from one individual collection to another individual collection based on alignment of the media streams; and storing, displaying or transmitting the transferred annotation.
Abstract translation: 一种用于组织和注释由不同相机捕获的用于相同事件的图像或视频的单个集合到主集合中的方法，其中每个单独集合以时间顺序形成媒体流，包括使用处理器提供以下步骤：提取图像特征 对于每个单独集合的媒体流的每个图像或视频; 分析所提取的特征以使事件的时间顺序在公共时间线上对准媒体流; 基于媒体流的对齐将批注从一个单独的集合转移到另一个集合; 并存储，显示或发送所传送的注释。
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公开(公告)号：US20120114296A1
公开(公告)日：2012-05-10
申请号：US12942407
申请日：2010-11-09
Applicant: Jiebo Luo , Jianchao Yang , Jie Yu
Inventor： Jiebo Luo , Jianchao Yang , Jie Yu
IPC: H04N5/77
CPC classification number: H04N9/8205 , H04N5/772 , H04N5/91
Abstract: A method for organizing individual collections of images or videos captured for the same event by different cameras into a master collection, wherein each individual collection forms a media stream in chronological order. A processor for extracting image features for each image or video of the media stream of each collection; constructing a graph based on the extracted features to link the images or videos from the two media streams; finding on the graph at least a pair of images or videos, each from one of the two media streams, that corresponds to correlated captured content; aligning the remaining images or videos in response to the aligned pair so that the all images or videos from the two media streams are aligned over a common timeline; and producing a master stream in chronological order of the event over a common timeline by merging the aligned individual.
Abstract translation: 一种用于将由不同相机拍摄的相同事件的图像或视频的各个集合组织成主集合的方法，其中每个单独集合以时间顺序形成媒体流。 一种用于为每个集合的媒体流的每个图像或视频提取图像特征的处理器; 基于提取的特征构建图表以链接来自两个媒体流的图像或视频; 在图上找到至少一对图像或视频，每个图像或视频各自来自两个媒体流之一，对应于相关的捕获的内容; 响应于对准的对对齐剩余的图像或视频，使得来自两个媒体流的所有图像或视频在公共时间线上对齐; 并通过合并对齐的个体在公共时间轴上按时间顺序生成主流。
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10.发明授权Robust patch regression based on in-place self-similarity for image upscaling 有权基于图像放大的就地自相似性的鲁棒贴片回归公开(公告)号：US08687923B2
公开(公告)日：2014-04-01
申请号：US13565411
申请日：2012-08-02
Applicant: Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
Inventor： Zhe Lin , Scott D. Cohen , Jen-Chan Chien , Sarah A. Kong , Jianchao Yang
CPC classification number: G06T3/4053
Abstract: Methods and systems for image upscaling are disclosed. In one embodiment, a low frequency band image intermediate is obtained from an input image. The input image is upsampled by a scale factor to obtain an upsampled image intermediate. A result image is estimated based at least in part on the upsampled image intermediate, the low frequency band image intermediate, and the input image, wherein the input image is of a smaller scale than the result image.
Abstract translation: 公开了用于图像放大的方法和系统。 在一个实施例中，从输入图像获得低频带图像中间体。 输入图像由比例因子上采样，以获得上采样图像中间值。 至少部分地基于上采样图像中间，低频带图像中间和输入图像来估计结果图像，其中输入图像比结果图像小一些。
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