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    • 1. 发明授权
    • Feedback-system for managing video conferencing with a portable multimedia device comprising a frontal camera
    • 用于利用包括正面照相机的便携式多媒体设备来管理视频会议的反馈系统
    • US09167201B2
    • 2015-10-20
    • US13911325
    • 2013-06-06
    • Erwin Alfons Constant SixSammy LievensMaarten AertsDonny G. Tytgat
    • Erwin Alfons Constant SixSammy LievensMaarten AertsDonny G. Tytgat
    • H04N7/14
    • H04N7/144
    • A feedback-system for managing the position of a frontal camera provided on a portable multimedia device during video communication. The feedback-system comprises a camera image analyzer coupled to the frontal camera and adapted to detect and analyze the pose of a user facing the frontal camera, an optimal video estimator coupled to the camera image analyzer and adapted to calculate a 6-dimensional error-vector of the current position of the frontal camera with respect to an optimal position of the frontal camera, an intuitive feedback manager coupled to the optimal video estimator and adapted to generate a transformation matrix translating the error-vector into an error message for the image displayed on a screen of the portable multimedia device, the intuitive feedback manager being further coupled to the portable multimedia device which is adapted to use the error message for modifying the image displayed on the screen.
    • 一种用于在视频通信期间管理在便携式多媒体设备上提供的正面照相机的位置的反馈系统。 所述反馈系统包括耦合到所述正面照相机的照相机图像分析器,并且适于检测和分析面向所述正面照相机的用户的姿态,耦合到所述照相机图像分析器的适合于计算6维误差 - 相对于正面照相机的最佳位置的正面照相机的当前位置的向量,耦合到最佳视频估计器的直观反馈管理器,并适于生成将误差向量转换为用于所显示的图像的错误消息的变换矩阵 在便携式多媒体设备的屏幕上,直观反馈管理器进一步耦合到便携式多媒体设备,该便携式多媒体设备适于使用该错误消息来修改屏幕上显示的图像。
    • 2. 发明申请
    • FEEDBACK-SYSTEM FOR MANAGING VIDEO CONFERENCING WITH A PORTABLE MULTIMEDIA DEVICE COMPRISING A FRONTAL CAMERA
    • 用于使用包含正面摄像机的便携式多媒体设备来管理视频会议的反馈系统
    • US20140015918A1
    • 2014-01-16
    • US13911325
    • 2013-06-06
    • Erwin Alfons Constant SixSammy LievensMaarten AertsDonny G. Tytgat
    • Erwin Alfons Constant SixSammy LievensMaarten AertsDonny G. Tytgat
    • H04N7/14
    • H04N7/144
    • A feedback-system for managing the position of a frontal camera provided on a portable multimedia device during video communication. The feedback-system comprises a camera image analyzer coupled to the frontal camera and adapted to detect and analyze the pose of a user facing the frontal camera, an optimal video estimator coupled to the camera image analyzer and adapted to calculate a 6-dimentional error-vector of the current position of the frontal camera with respect to an optimal position of the frontal camera, an intuitive feedback manager coupled to the optimal video estimator and adapted to generate a transformation matrix translating the error-vector into an error message for the image displayed on a screen of the portable multimedia device, the intuitive feedback manager being further coupled to the portable multimedia device which is adapted to use the error message for modifying the image displayed on the screen.
    • 一种用于在视频通信期间管理在便携式多媒体设备上提供的正面照相机的位置的反馈系统。 所述反馈系统包括耦合到所述正面照相机的摄像机图像分析器,并且适于检测和分析面向所述正面照相机的用户的姿态,耦合到所述照相机图像分析器的最佳视频估计器,并且适于计算六维误差 - 相对于正面照相机的最佳位置的正面照相机的当前位置的向量,耦合到最佳视频估计器的直观反馈管理器,并适于生成将误差向量转换为用于所显示的图像的错误消息的变换矩阵 在便携式多媒体设备的屏幕上,直观反馈管理器进一步耦合到便携式多媒体设备,该便携式多媒体设备适于使用该错误消息来修改屏幕上显示的图像。
    • 3. 发明申请
    • METHOD AND SYSTEM FOR SEGMENTING AN IMAGE
    • 用于分割图像的方法和系统
    • US20130251260A1
    • 2013-09-26
    • US13992522
    • 2011-12-07
    • Maarten AertsDonny TytgatSammy Lievens
    • Maarten AertsDonny TytgatSammy Lievens
    • G06T7/00
    • G06T7/0081G06T7/11
    • The invention pertains to a method for segmenting an image from a sequence of video images into a foreground and a background, said image being composed of pixels, the method comprising: assigning an initial foreground probability to each of said pixels; assigning a set of probability propagation coefficients to each of said pixels; and applying a global optimizer to the initial foreground probabilities of said pixels to classify each of said pixels as a foreground pixel or a background pixel, to obtain a definitive foreground map; wherein said global optimizer classifies each processed pixel in function of the initial foreground probability of said processed pixel and the initial foreground probability of neighboring pixels, the relative weight of the initial foreground probability of neighboring pixels being determined by the probability propagation coefficients of said neighboring pixels.
    • 本发明涉及一种用于将图像从视频图像序列分割为前景和背景的方法,所述图像由像素组成,所述方法包括:为每个所述像素分配初始前景概率; 将一组概率传播系数分配给每个所述像素; 以及将全局优化器应用于所述像素的初始前景概率,以将每个所述像素分类为前景像素或背景像素,以获得确定的前景图; 其中所述全局优化器根据所述经处理像素的初始前景概率和相邻像素的初始前景概率对每个经处理像素进行分类,相邻像素的初始前景概率的相对权重由所述相邻像素的概率传播系数确定 。
    • 5. 发明授权
    • Method and arrangement for image model construction
    • 图像模型构建方法与布置
    • US09324191B2
    • 2016-04-26
    • US14122143
    • 2012-06-04
    • Donny TytgatErwin SixSammy LievensMaarten Aerts
    • Donny TytgatErwin SixSammy LievensMaarten Aerts
    • G06K9/00G06T19/20G06T7/20
    • G06T19/20G06T7/251G06T2207/10016G06T2207/20121G06T2207/30201
    • A method for constructing an image model (M1; M) from at least one image data input (IV1; IV1-IVn), comprises the steps of, in an iterative way, determining at least one state (PS1; PS1-PSn) of said at least one image data input (IV1; IV1-IVn), and a state (PSMF) of an intermediate learning model (MF; MIF) determining a target state (TSP) from said at least one state (PS1; PS1-PSn) of said at least one image data input, and from the state (PSMF) of said intermediate learning model (MF; MIF), performing at least one transformation in accordance with the determined target state (TSP) on said at least one image data input (IV1; IV1-IVn), thereby generating at least one transformed image (IV1T; IV1T-IVnT), aggregating said at least one transformed image (IV1T; IV1T-IVnt) with intermediate learning model (MF; MIF; MIT; MFT) information, thereby generating an updated estimate of said image model (M1; M), providing said updated estimate of said image model (M1; M) as said image model (M1; M) while also providing said updated estimate of said image model (M1; M) in a feedback loop to a model object learning module (500) for deriving an update of said intermediate learning model (MF, MIF).
    • 一种用于从至少一个图像数据输入(IV1; IV1-IVn)构建图像模型(M1; M)的方法包括以下步骤:以迭代方式确定至少一个状态(PS1; PS1-PSn) 所述至少一个图像数据输入(IV1; IV1-IVn)和从所述至少一个状态确定目标状态(TSP)的中间学习模型(MF; MIF)的状态(PSMF)(PS1; PS1-PSn )和所述中间学习模型(MF; MIF)的状态(PSMF)),根据所确定的目标状态(TSP)对所述至少一个图像数据执行至少一个变换, (IV1; IV1-IVn),从而生成至少一个变换图像(IV1T; IV1T-IVnT),用中间学习模型(MF; MIF; MIT; MFT)聚集所述至少一个变换图像(IV1T; IV1T-IVnt) ),从而生成所述图像模型(M1; M)的更新估计,提供所述图像模型(M1; M)的所述更新估计作为所述图像模型(M1; M) 同时还提供所述图像模型(M1; M)在用于导出所述中间学习模型(MF,MIF)的更新的模型对象学习模块(500)的反馈回路中。
    • 6. 发明申请
    • METHOD AND ARRANGEMENT FOR IDENTIFYING VIRTUAL VISUAL INFORMATION IN IMAGES
    • 识别图像虚拟视觉信息的方法和布置
    • US20130279761A1
    • 2013-10-24
    • US13822316
    • 2011-10-03
    • Donny TytgatSammy LievensMaarten Aerts
    • Donny TytgatSammy LievensMaarten Aerts
    • G06T7/20
    • G06T7/246G06T7/215G06T2207/20076
    • A method for identifying virtual visual information in at least two images from a first sequence of successive images of a visual scene comprising real visual information and said virtual visual information is disclosed.Feature detection is performed on at least one of said at least two images.The movement of the detected features between said at least two images is determined, thereby obtaining a set of movements.Movements of said set which pertain to movements in a substantially vertical plane are identified, thereby obtaining a set of vertical movements.The features pertaining to said vertical movements are related to said virtual visual information in said at least two images, such as to identify the virtual visual information.Arrangements for performing embodiments of the method are disclosed as well.
    • 公开了一种用于从包括真实视觉信息和所述虚拟视觉信息的视觉场景的连续图像的第一序列中识别至少两个图像中的虚拟视觉信息的方法。 对所述至少两个图像中的至少一个执行特征检测。 确定所述检测到的特征在所述至少两个图像之间的移动,从而获得一组移动。 识别与基本垂直的平面中的运动相关的所述组的运动,从而获得一组垂直运动。 与所述垂直移动相关的特征与所述至少两个图像中的所述虚拟视觉信息相关,以便识别虚拟视觉信息。 还公开了用于执行该方法的实施例的布置。
    • 7. 发明授权
    • Method and arrangement for 3-dimensional image model adaptation
    • 三维图像模型适应的方法和布置
    • US09269194B2
    • 2016-02-23
    • US14122165
    • 2012-06-04
    • Donny TytgatSammy LievensMaarten Aerts
    • Donny TytgatSammy LievensMaarten Aerts
    • G06K9/00G06T19/20G06T7/20
    • G06T19/20G06T7/251G06T2207/10016G06T2207/20121G06T2207/30201
    • Method for adapting a 3D model (m) of an object, said method comprising the steps of performing at least one projection of said 3D model to obtain at least one 2D image model projection (p1) with associated depth information (d1), performing at least one state extraction operation on said at least one 2D image model projection (p1), thereby obtaining at least one state (s1) adapting said at least one 2D image model projection (p1) and said associated depth information (d1) in accordance with said at least one state (s1) and with a target state (s), thereby obtaining at least one adapted 2D image model (p1′) and an associated adapted depth (d1′) back-projecting said at least one adapted 2D image model (p1′) to 3D, based on said associated adapted depth (d1′) for thereby obtaining an adapted 3D model (m′).
    • 用于适应对象的3D模型(m)的方法,所述方法包括以下步骤:执行所述3D模型的至少一个投影以获得具有相关联的深度信息(d1)的至少一个2D图像模型投影(p1),在 对所述至少一个2D图像模型投影(p1)进行至少一个状态提取操作,从而根据所述至少一个2D图像模型投影(p1)和所述相关联的深度信息(d1)获得适配所述至少一个2D图像模型投影(p1)和所述相关联的深度信息(d1)的至少一个状态 所述至少一个状态(s1)并且具有目标状态,从而获得至少一个适应的2D图像模型(p1')和相关联的适配深度(d1'),以反投影所述至少一个适应的2D图像模型 (p1')到3D,基于所述相关联的适配深度(d1'),从而获得适应的3D模型(m')。
    • 10. 发明申请
    • METHOD AND ARRANGEMENT FOR IMAGE MODEL CONSTRUCTION
    • 图像模型构造的方法和布置
    • US20140212030A1
    • 2014-07-31
    • US14122143
    • 2012-06-04
    • Donny TytgatErwin SixSammy LievensMaarten Aerts
    • Donny TytgatErwin SixSammy LievensMaarten Aerts
    • G06T19/20
    • G06T19/20G06T7/251G06T2207/10016G06T2207/20121G06T2207/30201
    • A method for constructing an image model (M1; M) from at least one image data input (IV1; IV1-IVn), comprises the steps of, in an iterative way, determining at least one state (PS1; PS1-PSn) of said at least one image data input (IV1; IV1-IVn), and a state (PSMF) of an intermediate learning model (MF; MIF) determining a target state (TSP) from said at least one state (PS1; PS1-PSn) of said at least one image data input, and from the state (PSMF) of said intermediate learning model (MF; MIF), performing at least one transformation in accordance with the determined target state (TSP) on said at least one image data input (IV1; IV1-IVn), thereby generating at least one transformed image (IV1T; IV1T-IVnT), aggregating said at least one transformed image (Iv1T; IV1T-IVnt) with intermediate learning model (MF; MIF; MIT; MFT) information, thereby generating an updated estimate of said image model (M1; M), providing said updated estimate of said image model (M1; M) as said image model (M1; M) while also providing said updated estimate of said image model (M1; M) in a feedback loop to a model object learning module (500) for deriving an update of said intermediate learning model (MF, MIF).
    • 一种用于从至少一个图像数据输入(IV1; IV1-IVn)构建图像模型(M1; M)的方法包括以下步骤:以迭代方式确定至少一个状态(PS1; PS1-PSn) 所述至少一个图像数据输入(IV1; IV1-IVn)和从所述至少一个状态确定目标状态(TSP)的中间学习模型(MF; MIF)的状态(PSMF)(PS1; PS1-PSn )和所述中间学习模型(MF; MIF)的状态(PSMF)),根据所确定的目标状态(TSP)对所述至少一个图像数据执行至少一个变换, (IV1; IV1-IVn),从而生成至少一个变换图像(IV1T; IV1T-IVnT),用中间学习模型(MF; MIF; MIT; MFT)聚集所述至少一个变换图像(Iv1T; IV1T-IVnt) ),从而生成所述图像模型(M1; M)的更新估计,提供所述图像模型(M1; M)的所述更新估计作为所述图像模型(M1; M) 同时还提供所述图像模型(M1; M)在用于导出所述中间学习模型(MF,MIF)的更新的模型对象学习模块(500)的反馈回路中。