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Patent Agency Ranking
公开(公告)号：US20180174276A1
公开(公告)日：2018-06-21
申请号：US15841837
申请日：2017-12-14
Applicant: DASSAULT SYSTEMES
Inventor： Fabrice Francis Michel , Ismael Belghiti
CPC classification number: G06T5/005 , G06K9/6223 , G06T5/50 , G06T2207/10016 , G06T2207/20016 , G06T2207/20072
Abstract: The invention notably relates to a computer-implemented method for completing an image having at least one hole, the method comprising providing a dictionary of atoms representative of the known part of the image; determining an optimal distribution of atom linear combinations with a process comprising at least one minimization of a respective energy defined on a respective Markov Random Field having nodes and labels, each node corresponding to a respective location of the hole and being associated to a respective label; and filling the hole with the optimal distribution. The invention improves the field of image completion.
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公开(公告)号：US20140358475A1
公开(公告)日：2014-12-04
申请号：US14288286
申请日：2014-05-27
Applicant: Dassault Systemes
Inventor： Malika Boulkenafed , Fabrice Francis Michel
IPC: G01B21/16
Abstract: It is provided a computer-implemented method for performing body posture tracking, comprising the steps of collecting (S10) depth measurements of a body with at least one depth sensor; collecting (S20) inertial measurements with at least one inertial sensor attached to the body; and determining (S30) at least one posture of the body as a function of the depth measurements and the inertial measurements. Such a method improves the field of body posture tracking.
Abstract translation: 提供了一种用于执行身体姿势跟踪的计算机实现的方法，包括以下步骤：利用至少一个深度传感器收集（S10）身体的深度测量; 用至少一个固定在身体上的惯性传感器收集（S20）惯性测量; 以及根据深度测量和惯性测量来确定（S30）身体的至少一个姿势。 这种方法改善了身体姿势跟踪领域。
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公开(公告)号：US20150178889A1
公开(公告)日：2015-06-25
申请号：US14564763
申请日：2014-12-09
Applicant: Dassault Systemes
Inventor： Fabrice Francis Michel
CPC classification number: G06T3/40 , G06K9/4604 , G06T3/0012
Abstract: The invention notably relates to computer-implemented method for resizing an image I. The method comprises the steps of: providing the image I to resize; and providing an image significance by computing a significance of each pixel in the image to resize. An original spatial domain (Ω) of the significance image is extracted. A transformation Tθ, parameterized as an interpolating spline by a set of control points, is provided from Ω to a resized spatial domain Ω′; subdividing Ω into cells, each cell being defined by a subset of control points of the set. For each cell, a weighted average of the significance of the pixels in the cell is computed, the weighted average being computed using the interpolating spline. The cells of Ω are deformed by displacing one or more control points of the cells having a lesser weighted average. The transformation Tθ over a spatial domain of the image I is computed using the displaced one or more control points. A resized image J is computed by applying the computed transformation Tθ to the spatial domain of the image I to resize.
Abstract translation: 本发明特别涉及用于调整图像大小的计算机实现的方法。该方法包括以下步骤：提供图像I以调整大小; 并通过计算图像中的每个像素的重要度来提高图像的重要性。 提取重要图像的原始空间域（＆OHgr）。 通过一组控制点参数化为内插样条的变换T＆amp; 调整大小的空间域＆OHgr;'; 细分 每个单元由集合的控制点的子集定义。 对于每个单元，计算单元格中像素的重要性的加权平均值，使用内插样条计算加权平均值。 ＆OHgr的细胞 通过移位具有较小加权平均值的单元的一个或多个控制点来变形。 转型T＆Thetas; 在使用位移的一个或多个控制点来计算图像I的空间域。 通过应用计算的变换T＆amp; t计算调整大小的图像J; 到图像I的空间域来调整大小。
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公开(公告)号：US10830584B2
公开(公告)日：2020-11-10
申请号：US14288286
申请日：2014-05-27
Applicant: Dassault Systemes
Inventor： Malika Boulkenafed , Fabrice Francis Michel
Abstract: It is provided a computer-implemented method for performing body posture tracking, comprising the steps of collecting (S10) depth measurements of a body with at least one depth sensor; collecting (S20) inertial measurements with at least one inertial sensor attached to the body; and determining (S30) at least one posture of the body as a function of the depth measurements and the inertial measurements. Such a method improves the field of body posture tracking.
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公开(公告)号：US09501811B2
公开(公告)日：2016-11-22
申请号：US14564763
申请日：2014-12-09
Applicant: Dassault Systemes
Inventor： Fabrice Francis Michel
CPC classification number: G06T3/40 , G06K9/4604 , G06T3/0012
Abstract: The invention notably relates to computer-implemented method for resizing an image I. The method comprises the steps of: providing the image I to resize; and providing an image significance by computing a significance of each pixel in the image to resize. An original spatial domain (Ω) of the significance image is extracted. A transformation Tθ, parameterized as an interpolating spline by a set of control points, is provided from Ω to a resized spatial domain Ω′; subdividing Ω into cells, each cell being defined by a subset of control points of the set. For each cell, a weighted average of the significance of the pixels in the cell is computed, the weighted average being computed using the interpolating spline. The cells of Ω are deformed by displacing one or more control points of the cells having a lesser weighted average. The transformation Tθ over a spatial domain of the image I is computed using the displaced one or more control points. A resized image J is computed by applying the computed transformation Tθ to the spatial domain of the image I to resize.
Abstract translation: 本发明特别涉及用于调整图像大小的计算机实现的方法。该方法包括以下步骤：提供图像I以调整大小; 并通过计算图像中的每个像素的重要度来提高图像的重要性。 提取有效图像的原始空间域（Ω）。 通过一组控制点参数化为内插样条的变换Tθ从Ω提供到调整大小的空间域Ω'; 将Ω细分为单元，每个单元由集合的控制点的子集定义。 对于每个单元，计算单元格中像素的重要性的加权平均值，使用内插样条计算加权平均值。 Ω的单元通过移位具有较小加权平均值的单元的一个或多个控制点而变形。 使用位移的一个或多个控制点来计算图像I的空间域上的变换Tθ。 通过将计算的变换Tθ应用于图像I的空间域来调整大小来计算调整大小的图像J。
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