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公开(公告)号：US20240135549A1
公开(公告)日：2024-04-25
申请号：US18049473
申请日：2022-10-24
Applicant: QUALCOMM Incorporated
Inventor： Xin Li , Jiancheng Lyu , Yingyong Qi
CPC classification number: G06T7/215 , G06T7/11 , G06T7/248 , G06T2207/10016 , G06T2207/20084
Abstract: Methods and systems of frame based image segmentation are provided. For example, a method for feature object tracking between frames of video data is provided. The method comprises receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. The method further comprises tracking the one or more objects in one or more consecutive frames. The tracking comprises extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.
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公开(公告)号：US10706267B2
公开(公告)日：2020-07-07
申请号：US15869342
申请日：2018-01-12
Applicant: QUALCOMM Incorporated
Inventor： Lei Wang , Ning Bi , Yingyong Qi
Abstract: Methods, systems, and devices for object recognition are described. Generally, the described techniques provide for a compact and efficient convolutional neural network (CNN) model for facial recognition. The proposed techniques relate to a light model with a set of layers of convolution and one fully connected layer for feature representation. A new building block of for each convolution layer is proposed. A maximum feature map (MFM) operation may be employed to reduce channels (e.g., by combining two or more channels via maximum feature selection within the channels). Depth-wise separable convolution may be employed for computation reduction (e.g., reduction of convolution computation). Batch normalization may be applied to normalize the output of the convolution layers and the fully connected layer (e.g., to prevent overfitting). The described techniques provide a compact and efficient CNN model which can be used for efficient and effective face recognition.
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公开(公告)号：US20190213787A1
公开(公告)日：2019-07-11
申请号：US15863434
申请日：2018-01-05
Applicant: QUALCOMM Incorporated
Inventor： Yan Deng , Michel Adib Sarkis , Yingyong Qi
Abstract: A method performed by an electronic device is described. The method includes incrementally adding a current node to a graph. The method also includes incrementally determining a respective adaptive edge threshold for each candidate edge between the current node and one or more candidate neighbor nodes. The method further includes determining whether to accept or reject each candidate edge based on each respective adaptive edge threshold. The method additionally includes performing refining based on the graph to produce refined data. The method also includes producing a three-dimensional (3D) model based on the refined data.
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公开(公告)号：US20190156515A1
公开(公告)日：2019-05-23
申请号：US15990469
申请日：2018-05-25
Applicant: QUALCOMM Incorporated
Inventor： Yan Deng , Michel Adib Sarkis , Yingyong Qi
Abstract: A method is described. The method includes determining normalized radiance of an image sequence based on a camera response function (CRF). The method also includes determining one or more reliability images of the image sequence based on a reliability function corresponding to the CRF. The method further includes extracting features based on the normalized radiance of the image sequence. The method additionally includes optimizing a model based on the extracted features and the reliability images.
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公开(公告)号：US20180374233A1
公开(公告)日：2018-12-27
申请号：US15635059
申请日：2017-06-27
Applicant: QUALCOMM Incorporated
Inventor： Yang Zhou , Ying Chen , Yingyong Qi , Ning Bi
CPC classification number: G06T7/70 , G06K9/4604 , G06K9/6201 , G06T7/248 , G06T7/251 , G06T2207/10016 , G06T2207/20081 , G06T2207/30196 , G06T2207/30232 , G06T2207/30241
Abstract: In various implementations, object tracking in a video content analysis system can be augmented with an image-based object re-identification system (e.g., for person re-identification or re-identification of other objects) to improve object tracking results for objects moving in a scene. The object re-identification system can use image recognition principles, which can be enhanced by considering data provided by object trackers that can be output by an object traffic system. In a testing stage, the object re-identification system can selectively test object trackers against object models. For most input video frames, not all object trackers need be tested against all object models. Additionally, different types of object trackers can be tested differently, so that a context provided by each object tracker can be considered. In a training stage, object models can also be selectively updated.
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Patent Agency Ranking
公开(公告)号：US20170236288A1
公开(公告)日：2017-08-17
申请号：US15042782
申请日：2016-02-12
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Dashan Gao , Xin Zhong , Lei Zhang , Yingyong Qi
CPC classification number: G06T7/11 , G06T7/0081 , G06T7/20 , G06T7/215 , G06T2207/10024 , G06T2207/20101
Abstract: A method for determining a region of an image is described. The method includes presenting an image of a scene including one or more objects. The method also includes receiving an input selecting a single point on the image corresponding to a target object. The method further includes obtaining a motion mask based on the image. The motion mask indicates a local motion section and a global motion section of the image. The method further includes determining a region in the image based on the selected point and the motion mask.
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公开(公告)号：US20170094184A1
公开(公告)日：2017-03-30
申请号：US14991698
申请日：2016-01-08
Applicant: QUALCOMM Incorporated
Inventor： Jinglun Gao , Dashan Gao , Xin Zhong , Yingyong Qi
CPC classification number: H04N5/23296 , G01S3/00 , G01S3/7864 , G01S5/16 , G06T7/20 , G06T7/337 , G06T7/74 , H04N5/23222 , H04N5/23258 , H04N5/2328
Abstract: An electronic device is described. The electronic device includes a processor. The processor is configured to obtain a plurality of images. The processor is also configured to obtain global motion information indicating global motion between at least two of the plurality of images. The processor is further configured to obtain object tracking information indicating motion of a tracked object between the at least two of the plurality of images. The processor is additionally configured to perform automatic zoom based on the global motion information and the object tracking information. Performing automatic zoom produces a zoom region including the tracked object. The processor is configured to determine a motion response speed for the zoom region based on a location of the tracked object within the zoom region.
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公开(公告)号：US09183429B2
公开(公告)日：2015-11-10
申请号：US13744906
申请日：2013-01-18
Applicant: QUALCOMM Incorporated
Inventor： Yingyong Qi , Ning Bi , Feng Guo
CPC classification number: G06K9/00221 , G06K9/00288 , G06K9/6232 , G06K9/6255 , G06K2009/4666
Abstract: Apparatus and methods for facial detection are disclosed. A plurality of images of an observed face is received for identification. Based at least on two or more selected images of the plurality of images, a template of the observed face is generated. In some embodiments, the template is a subspace generated based on feature vectors of the plurality of received images. A database of identities and corresponding facial data of known persons is searched based at least on the template of the observed face and the facial data of the known persons. One or more identities of the known persons are selected based at least on the search.
Abstract translation: 公开了用于面部检测的装置和方法。 接收观察面的多张图像进行识别。 至少基于多个图像中的两个或更多个所选择的图像，生成观察到的面部的模板。 在一些实施例中，模板是基于多个接收图像的特征向量生成的子空间。 至少基于所观察到的面部的模板和已知人的面部数据来搜索已知人的身份和对应面部数据的数据库。 至少基于搜索来选择已知人的一个或多个身份。
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公开(公告)号：US20150009207A1
公开(公告)日：2015-01-08
申请号：US13936867
申请日：2013-07-08
Applicant: QUALCOMM Incorporated
Inventor： Feng Guo , Ning Bi , Yingyong Qi
IPC: G06T15/00
CPC classification number: G06T15/00 , G06K9/00208 , G06T7/593 , G06T2207/30201
Abstract: A method for three-dimensional face generation is described. An inverse depth map is calculated based on a depth map and an inverted first matrix. The inverted first matrix is generated from two images in which pixels are aligned vertically and differ horizontally. The inverse depth map is normalized to correct for distortions in the depth map caused by image rectification. A three-dimensional face model is generated based on the inverse depth map and one of the two images.
Abstract translation: 描述用于三维面部生成的方法。 基于深度图和倒置的第一矩阵计算反深度图。 反转的第一矩阵从两个图像生成，其中像素垂直对齐并且水平不同。 归一化反相深度图以校正由图像校正导致的深度图中的失真。 基于逆深度图和两个图像之一生成三维面部模型。
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公开(公告)号：US08824744B2
公开(公告)日：2014-09-02
申请号：US14045158
申请日：2013-10-03
Applicant: QUALCOMM Incorporated
Inventor： Yingyong Qi , Ning Bi , Xuerui Zhang
CPC classification number: G06K9/00536 , G06T7/20 , G06T2207/20012
Abstract: Embodiments include methods and systems for context-adaptive pixel processing based, in part, on a respective weighting-value for each pixel or a group of pixels. The weighting-values provide an indication as to which pixels are more pertinent to pixel processing computations. Computational resources and effort can be focused on pixels with higher weights, which are generally more pertinent for certain pixel processing determinations.
Abstract translation: 实施例包括部分地基于每个像素或一组像素的相应加权值的用于上下文自适应像素处理的方法和系统。 加权值提供关于哪些像素与像素处理计算更相关的指示。 计算资源和努力可以集中在具有较高权重的像素上，这通常与某些像素处理确定相关。
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