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Patent Agency Ranking
公开(公告)号：US09727800B2
公开(公告)日：2017-08-08
申请号：US14866781
申请日：2015-09-25
Applicant: QUALCOMM Incorporated
Inventor： Qi Pan , Romain Tallonneau , Emilio Maggio , Stefan Walk
CPC classification number: G06K9/481 , G06K9/3233 , G06K9/34 , G06K9/46 , G06K9/4633 , G06K9/4671 , G06K9/6212 , G06K9/6277 , G06K2009/3291 , G06T7/10 , G06T7/11 , G06T7/136 , G06T7/70 , G06T7/74 , G06T2207/20076
Abstract: Disclosed are a system, apparatus, and method for detecting objects. Input image frames may be received and distinct regions created within each frame. Descriptors may be extracted from the regions according to their associated probability. Extracted descriptors may be matched to reference descriptors. Votes or confidence is cast for particular regions according to region properties. The region properties may be determined from center voting methods based on vector intersection to other vectors or intersections with a region. The probability of selecting particular regions can increase with each vote or increase in confidence for a region. In response to updating probabilities, additional regions may be selected and additional descriptors may be extracted. Additional voting iterations can update the probability of selecting a next region. An object pose may be estimated in response to meeting one or more thresholds.
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公开(公告)号：US09563824B2
公开(公告)日：2017-02-07
申请号：US14739635
申请日：2015-06-15
Applicant: QUALCOMM Incorporated
Inventor： Emilio Maggio , Qi Pan , Gerhard Reitmayr
CPC classification number: G06K9/6277 , G06K9/34 , G06K9/4652 , G06K9/6278 , G06K9/66 , G06T7/90 , H04N1/6086
Abstract: Methods, systems, computer-readable media, and apparatuses for assigning a color class of a defined finite set of colors to at least one sub-region within a test image are presented. A plurality of sub-regions are identified within a test image. A first sub-region color value is determined for a selected first sub-region of the test image. Using the first sub-region color value and a plurality of zero-order probability distributions, a first color class of the defined finite set of colors is determined as a hypothesis color for the first sub-region. A second sub-region color value is determined for a selected second sub-region of the test image. Using the second sub-region color value and a conditional probability distribution conditioned on the hypothesis color for the first sub-region, a second color class of the defined set of colors is determined. The second color class is assigned to the second sub-region.
Abstract translation: 呈现用于将定义的有限颜色集合的颜色分类分配给测试图像内的至少一个子区域的方法，系统，计算机可读介质和装置。 在测试图像内识别多个子区域。 针对测试图像的所选择的第一子区域确定第一子区域颜色值。 使用第一子区域颜色值和多个零阶概率分布，将所定义的有限颜色集合的第一颜色类别确定为第一子区域的假设颜色。 对于测试图像的所选择的第二子区域确定第二子区域颜色值。 使用第二子区域颜色值和对第一子区域的假设颜色进行调节的条件概率分布，确定所定义的一组颜色的第二颜色类别。 第二个颜色类被分配给第二个子区域。
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公开(公告)号：US09811731B2
公开(公告)日：2017-11-07
申请号：US14505345
申请日：2014-10-02
Applicant: QUALCOMM Incorporated
Inventor： Wonwoo Lee , Qi Pan , Emilio Maggio , Romain Tallonneau
CPC classification number: G06K9/00624 , G06K9/00671 , G06K9/4604 , G06K9/6202
Abstract: A computer-implemented method of tracking a target object in an object recognition system includes acquiring a plurality of images with a camera and simultaneously tracking the target object and dynamically building online map data from the plurality of images. Tracking of the target object is based on the online map data and the offline map data. In one aspect, tracking the target object includes enabling only one of the online map data and offline map data for tracking based on whether tracking is successful. In another aspect, tracking the target object includes fusing the online map data with the offline map data to generate a fused online model.
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公开(公告)号：US20160364632A1
公开(公告)日：2016-12-15
申请号：US14739635
申请日：2015-06-15
Applicant: QUALCOMM Incorporated
Inventor： Emilio Maggio , Qi Pan , Gerhard Reitmayr
CPC classification number: G06K9/6277 , G06K9/34 , G06K9/4652 , G06K9/6278 , G06K9/66 , G06T7/90 , H04N1/6086
Abstract: Methods, systems, computer-readable media, and apparatuses for assigning a color class of a defined finite set of colors to at least one sub-region within a test image are presented. A plurality of sub-regions are identified within a test image. A first sub-region color value is determined for a selected first sub-region of the test image. Using the first sub-region color value and a plurality of zero-order probability distributions, a first color class of the defined finite set of colors is determined as a hypothesis color for the first sub-region. A second sub-region color value is determined for a selected second sub-region of the test image. Using the second sub-region color value and a conditional probability distribution conditioned on the hypothesis color for the first sub-region, a second color class of the defined set of colors is determined. The second color class is assigned to the second sub-region.
Abstract translation: 呈现用于将定义的有限颜色集合的颜色分类分配给测试图像内的至少一个子区域的方法，系统，计算机可读介质和装置。 在测试图像内识别多个子区域。 针对测试图像的所选择的第一子区域确定第一子区域颜色值。 使用第一子区域颜色值和多个零阶概率分布，将所定义的有限颜色集合的第一颜色类别确定为第一子区域的假设颜色。 对于测试图像的所选择的第二子区域确定第二子区域颜色值。 使用第二子区域颜色值和对第一子区域的假设颜色进行调节的条件概率分布，确定所定义的一组颜色的第二颜色类别。 第二个颜色类被分配给第二个子区域。
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公开(公告)号：US20170091943A1
公开(公告)日：2017-03-30
申请号：US14866781
申请日：2015-09-25
Applicant: QUALCOMM Incorporated
Inventor： Qi Pan , Romain Tallonneau , Emilio Maggio , Stefan Walk
CPC classification number: G06K9/481 , G06K9/3233 , G06K9/34 , G06K9/46 , G06K9/4633 , G06K9/4671 , G06K9/6212 , G06K9/6277 , G06K2009/3291 , G06T7/10 , G06T7/11 , G06T7/136 , G06T7/70 , G06T7/74 , G06T2207/20076
Abstract: Disclosed are a system, apparatus, and method for detecting objects. Input image frames may be received and distinct regions created within each frame. Descriptors may be extracted from the regions according to their associated probability. Extracted descriptors may be matched to reference descriptors. Votes or confidence is cast for particular regions according to region properties. The region properties may be determined from center voting methods based on vector intersection to other vectors or intersections with a region. The probability of selecting particular regions can increase with each vote or increase in confidence for a region. In response to updating probabilities, additional regions may be selected and additional descriptors may be extracted. Additional voting iterations can update the probability of selecting a next region. An object pose may be estimated in response to meeting one or more thresholds.
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