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公开(公告)号：US20200074747A1
公开(公告)日：2020-03-05
申请号：US16118237
申请日：2018-08-30
Applicant: QUALCOMM Incorporated
Inventor： Yan Deng , Michel Adib Sarkis , Yingyong Qi
Abstract: A method performed by an electronic device is described. The method includes receiving a set of frames. The set of frames describes a moving three-dimensional (3D) object. The method also includes registering the set of frames based on a canonical model. The canonical model includes geometric information and optical information. The method additionally includes fusing frame information of each frame to the canonical model based on the registration. The method further includes reconstructing the 3D object based on the canonical model.
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公开(公告)号：US20190311183A1
公开(公告)日：2019-10-10
申请号：US15948676
申请日：2018-04-09
Applicant: QUALCOMM Incorporated
Inventor： Lei Wang , Yingyong Qi , Ning Bi
Abstract: Methods, systems, and devices for object recognition are described. A device may generate a subspace based at least in part on a set of representative feature vectors for an object. The device may obtain an array of pixels representing an image. The device may determine a probe feature vector for the image by applying a convolutional operation to the array of pixels. The device may create a reconstructed feature vector in the subspace based at least in part on the set of representative feature vectors and the probe feature vector. The device may compare the reconstructed feature vector and the probe feature vector and recognize the object in the image based at least in part on the comparison. For example, the described techniques may support pose invariant facial recognition or other such object recognition applications.
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公开(公告)号：US20190220987A1
公开(公告)日：2019-07-18
申请号：US15870483
申请日：2018-01-12
Applicant: QUALCOMM Incorporated
Inventor： Kuang-Man Huang , Michel Adib Sarkis , Yingyong Qi
CPC classification number: G06T7/50 , G06T5/002 , G06T5/005 , G06T5/20 , G06T7/11 , G06T7/136 , G06T7/162 , G06T2200/04 , G06T2207/10028 , G06T2207/20012 , G06T2207/20192
Abstract: A depth based scanning system can be configured to determine whether pixel depth values of a depth map are within a depth range; determine a component of the depth map comprised of connected pixels each with a depth value within the depth range; replace the depth values of any pixels of the depth map that are not connected pixels; determine whether each pixel of the connected pixels of the component has at least a threshold number of neighboring pixels that have a depth value within the depth range; and for each pixel of the connected pixels of the component, if the pixel is determined to have at least the threshold number of neighboring pixels, replace its depth value with a filtered depth value that is based on the depth values of the neighboring pixels that have a depth value within the depth range.
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公开(公告)号：US20190220653A1
公开(公告)日：2019-07-18
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：US09911242B2
公开(公告)日：2018-03-06
申请号：US14856990
申请日：2015-09-17
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Michel Adib Sarkis , Bijan Forutanpour , Yingyong Qi
CPC classification number: G06T19/20 , G06T7/90 , G06T11/001 , G06T15/506 , G06T2207/10016 , G06T2207/10024 , G06T2219/2012 , H04N1/56 , H04N1/60
Abstract: A method for adjusting pixel colors between image frames includes scanning, at a processor, a first image frame of a sequence of image frames. The method also includes determining a grayscale threshold based on characteristics of the first image frame to identify gray pixel candidates in the first image frame. The method further includes adjusting a pixel value of each pixel in the first image frame based on a chromatic adaptation transform estimation. The chromatic adaptation transform estimation is based on the gray pixel candidates. The grayscale threshold may be computed for each image frame in the sequence of image frames.
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Patent Agency Ranking
公开(公告)号：US09842423B2
公开(公告)日：2017-12-12
申请号：US13936867
申请日：2013-07-08
Applicant: QUALCOMM Incorporated
Inventor： Feng Guo , Ning Bi , Yingyong Qi
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.
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公开(公告)号：US09836852B2
公开(公告)日：2017-12-05
申请号：US14567119
申请日：2014-12-11
Applicant: QUALCOMM Incorporated
Inventor： Christopher Li , Xin Zhong , Dashan Gao , Yingyong Qi , Kai Guo
CPC classification number: G06T7/223 , G06K9/00624 , G06K9/4647 , G06K9/6202 , G06T7/20 , G06T7/246 , G06T2207/10004 , G06T2207/20021 , G06T2207/30241 , G06T2210/12 , H04N5/232
Abstract: A method includes receiving first data defining a first bounding box for a first image of a sequence of images. The first bounding box corresponds to a region of interest including a tracked object. The method also includes receiving object tracking data for a second image of the sequence of images, the object tracking data defining a second bounding box. The second bounding box corresponds to the region of interest including the tracked object in the second image. The method further includes determining a similarity metric for first pixels within the first bounding box and search pixels within each of multiple search bounding boxes. Search coordinates of each of the search bounding boxes correspond to second coordinates of the second bounding box shifted in one or more directions. The method also includes determining a modified second bounding box based on the similarity metric.
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公开(公告)号：US20160335782A1
公开(公告)日：2016-11-17
申请号：US14856990
申请日：2015-09-17
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Michel Adib Sarkis , Bijan Forutanpour , Yingyong Qi
CPC classification number: G06T19/20 , G06T7/90 , G06T11/001 , G06T15/506 , G06T2207/10016 , G06T2207/10024 , G06T2219/2012 , H04N1/56 , H04N1/60
Abstract: A method for adjusting pixel colors between image frames includes scanning, at a processor, a first image frame of a sequence of image frames. The method also includes determining a grayscale threshold based on characteristics of the first image frame to identify gray pixel candidates in the first image frame. The method further includes adjusting a pixel value of each pixel in the first image frame based on a chromatic adaptation transform estimation. The chromatic adaptation transform estimation is based on the gray pixel candidates. The grayscale threshold may be computed for each image frame in the sequence of image frames.
Abstract translation: 用于调整图像帧之间的像素颜色的方法包括在处理器处扫描图像帧序列的第一图像帧。 该方法还包括基于第一图像帧的特征来确定灰度阈值，以识别第一图像帧中的灰色像素候选。 该方法还包括基于颜色自适应变换估计来调整第一图像帧中的每个像素的像素值。 色度适应变换估计基于灰色像素候选。 可以对图像帧序列中的每个图像帧计算灰度阈值。
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公开(公告)号：US20160133022A1
公开(公告)日：2016-05-12
申请号：US14539617
申请日：2014-11-12
Applicant: QUALCOMM Incorporated
Inventor： Michel Adib Sarkis , Yingyong Qi , Magdi Abuelgasim Mohamed
CPC classification number: G06K9/78 , G06T7/246 , G06T7/74 , G06T2207/10016 , G06T2207/30201
Abstract: A method for tracking an object by an electronic device is described. The method includes detecting an object position in an initial frame to produce a detected object position. The method also includes measuring one or more landmark positions based on the detected object position or a predicted object position. The method further includes predicting the object position in a subsequent frame based on the one or more landmark positions. The method additionally includes determining whether object tracking is lost. The method also includes avoiding performing object detection for the subsequent frame in a case that object tracking is maintained.
Abstract translation: 描述用于通过电子设备跟踪对象的方法。 该方法包括检测初始帧中的对象位置以产生检测到的对象位置。 该方法还包括基于检测到的对象位置或预测对象位置来测量一个或多个界标位置。 该方法还包括基于一个或多个地标位置来预测随后帧中的对象位置。 该方法还包括确定对象跟踪是否丢失。 该方法还包括在维持对象跟踪的情况下避免对后续帧执行对象检测。
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公开(公告)号：US20150003672A1
公开(公告)日：2015-01-01
申请号：US14037927
申请日：2013-09-26
Applicant: QUALCOMM Incorporated
Inventor： Michel Adib Sarkis , Magdi Abuelgasim Mohamed , Yingyong Qi
CPC classification number: G06K9/00288 , G06K9/00302 , G06K9/00315 , G06K9/00335 , G06K9/3241 , G06K9/6254 , G06K9/6262 , G06K9/6263
Abstract: A method for deformable expression detection is disclosed. For each pixel in a preprocessed image, a sign of a first directional gradient component and a sign of a second directional gradient component are combined to produce a combined sign. Each combined sign is coded into a coded value. An expression in an input image is detected based on the coded values.
Abstract translation: 公开了一种可变形表达检测方法。 对于预处理图像中的每个像素，组合第一方向梯度分量的符号和第二方向梯度分量的符号以产生组合符号。 每个组合符号被编码成编码值。 基于编码值检测输入图像中的表达式。
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