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    • 1. 发明申请
    • METHOD AND ARRANGEMENT FOR IMAGE MODEL CONSTRUCTION
    • 图像模型构造的方法和布置
    • WO2012175320A1
    • 2012-12-27
    • PCT/EP2012/060507
    • 2012-06-04
    • ALCATEL LUCENTTYTGAT, DonnySIX, ErwinLIEVENS, SammyAERTS, Maarten
    • TYTGAT, DonnySIX, ErwinLIEVENS, SammyAERTS, Maarten
    • G06T7/20
    • 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) 的所述至少一个图像数据输入(IV1; IV1 -IVn)和中间学习模型(MF; MIF)的状态(PSMF) - 从所述至少一个状态(PS1; PS1)确定目标状态(TSP) -PSn),并且从所述中间学习模型(MF; MIF)的状态(PSMF)执行至少一个变换,所述至少一个变换根据所确定的目标状态(TSP)至少在所述至少一个 一个图像数据输入(IV1; IV1-IVn),从而生成至少一个变换图像(IV1T; IV1T-IVnT), - 将所述至少一个变换图像(IV1T; IV1T-IVnt)与中间学习模型(MF; MIF ; MIT; MFT)信息,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 (M1; M),同时还将反馈回路中的所述图像模型(M1; M)的所述更新估计提供给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) 。
    • 4. 发明申请
    • METHOD AND SYSTEM FOR SWITCHING BETWEEN VIDEO SOURCES
    • 用于在视频源之间切换的方法和系统
    • WO2009149925A1
    • 2009-12-17
    • PCT/EP2009/004195
    • 2009-06-08
    • ALCATEL LUCENTTYTGAT, Donny, G.
    • TYTGAT, Donny, G.
    • H04N5/445G06F3/023
    • H04N5/4403G06F3/04815H04N7/163H04N21/431H04N21/4383H04N21/44016H04N21/482
    • Method for switching from a first video source to a second video source, the first video source producing first video content being displayed to a user, and the second video source producing second video content, wherein a changing view of a polyhedron with first and second substantially rectangular surfaces is displayed starting with at least a view of the first surface and changing the direction under which the polyhedron is viewed until only the second surface is displayed; the first video content and the second video content are mapped on the first and second surfaces of the polyhedron, respectively, so that at least the first video content is displayed at least at the beginning of the changing view and the second video content is displayed at least at the end of the changing view.
    • 用于从第一视频源切换到第二视频源的方法,产生正向用户显示的第一视频内容的第一视频源和产生第二视频内容的第二视频源,其中多面体的改变视图具有第一和第二基本上 从第一表面的至少一个视图开始显示矩形表面,并且改变观看多面体的方向,直到仅显示第二表面; 第一视频内容和第二视频内容分别映射在多面体的第一和第二表面上,使得至少第一视频内容至少在更改视图的开头显示,并且第二视频内容被显示在 至少在变化的视角结束。
    • 5. 发明申请
    • METHOD AND ARRANGEMENT FOR 3-DIMENSIONAL IMAGE MODEL ADAPTATION
    • 三维图像模型适应的方法和布置
    • WO2012175321A1
    • 2012-12-27
    • PCT/EP2012/060512
    • 2012-06-04
    • ALCATEL LUCENTTYTGAT, DonnyLIEVENS, SammyAERTS, Maarten
    • TYTGAT, DonnyLIEVENS, SammyAERTS, Maarten
    • G06T7/20
    • G06T19/20G06T7/251G06T2207/10016G06T2207/20121G06T2207/30201
    • 1. 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').
    • 1.一种用于适应对象的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) - 对所述至少一个2D图像模型投影(p1)执行至少一个状态提取操作,从而获得至少一个状态(s1) - 使所述至少一个2D图像模型投影(p1)和所述相关联的深度信息( d1),根据所述至少一个状态(s1)和目标状态,从而获得至少一个适应的2D图像模型(p1')和相关联的适应深度(d1') - 反投影 至少一个适应的2D图像模型(p1')至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')。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR SEGMENTING AN IMAGE
    • 用于分割图像的方法和系统
    • WO2012076586A1
    • 2012-06-14
    • PCT/EP2011/072034
    • 2011-12-07
    • ALCATEL LUCENTAERTS, MaartenTYTGAT, DonnyLIEVENS, Sammy
    • AERTS, MaartenTYTGAT, DonnyLIEVENS, Sammy
    • 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:将初始前景概率分配给每个所述像素;分配一组概率 传播系数到每个所述像素; 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,以获得确定性前景映射;其中所述全局优化器根据初始前景概率对每个经处理的像素进行分类 并且相邻像素的初始前景概率的相对权重由相邻像素的概率传播系数决定。
    • 10. 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
    • WO2012045692A1
    • 2012-04-12
    • PCT/EP2011/067210
    • 2011-10-03
    • ALCATEL LUCENTTYTGAT, DonnyLIEVENS, SammyAERTS, Maarten
    • TYTGAT, DonnyLIEVENS, SammyAERTS, Maarten
    • G06T7/20G06K9/00
    • G06T7/2033G06T7/215G06T7/246G06T2207/20076
    • 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, comprises the steps of - performing feature detection on at least one of said at least two images, - determining the movement of the detected features between said at least two images, thereby obtaining a set of movements, - identifying which movements of said set pertain to movements in a substantially vertical plane, thereby obtaining a set of vertical movements - relating the features pertaining to said vertical movements 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.
    • 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的至少两个图像中识别虚拟视觉信息的方法包括以下步骤:在所述至少两个中的至少一个上执行特征检测 图像, - 确定所述至少两个图像之间检测到的特征的运动,由此获得一组运动, - 识别所述组的哪些运动涉及基本垂直的平面中的运动,由此获得一组垂直运动 - 将 所述与所述至少两个图像中的所述虚拟视觉信息的垂直移动有关的特征,诸如识别用于执行该方法的实施例的虚拟视觉信息的布置也被公开。