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1. 发明授权

US07836026B2 Method, apparatus and software for verifying a parameter value against a predetermined threshold function 有权
标题翻译：用于根据预定阈值函数验证参数值的方法，装置和软件
公开(公告)号：US07836026B2
公开(公告)日：2010-11-16
申请号：US11785711
申请日：2007-04-19
申请人： Christophe Laye , Frederic Eynard , Christophe Garcia
发明人： Christophe Laye , Frederic Eynard , Christophe Garcia
IPC分类号： G06F7/00 , G06F17/00
CPC分类号： G06Q10/10
摘要： A method, apparatus or software are disclosed for verifying a parameter value against a predetermined threshold function in which a sequence of reference values is retrieved, each reference value being associated with a respective sampling point N, said reference values representing a threshold function at said respective sampling points N; a profile type is associated with said threshold function, said profile type being arranged, when combined with said sequence of reference values, to provide an approximation to said threshold function for a region of said threshold function between said reference values; a parameter value is received for verification against said threshold function, said parameter value being associated with a discrete time P; said sequence of reference values is combined with said profile type to provide an approximation of said threshold function; and said parameter value is verified against said approximation of said threshold function.
摘要翻译：公开了一种用于根据预定阈值函数验证参数值的方法，装置或软件，其中检索参考值序列，每个参考值与相应采样点N相关联，所述参考值表示在所述各个参考值处的阈值函数采样点N; 简档类型与所述阈值函数相关联，当与所述参考值序列组合时，所述简档类型被布置为对所述参考值之间的所述阈值函数的区域提供对所述阈值函数的近似值; 接收用于根据所述阈值函数进行验证的参数值，所述参数值与离散时间P相关联; 所述参考值序列与所述轮廓类型组合以提供所述阈值函数的近似值; 并且根据所述阈值函数的近似来验证所述参数值。

2. 发明申请

US20080201282A1 System and Method for Locating Points of Interest in an Object Image Implementing a Neural Network 审中-公开
标题翻译：用于定位实现神经网络的对象图像中的兴趣点的系统和方法
公开(公告)号：US20080201282A1
公开(公告)日：2008-08-21
申请号：US11910159
申请日：2006-03-28
申请人： Christophe Garcia , Stefan Duffner
发明人： Christophe Garcia , Stefan Duffner
IPC分类号： G06T1/40 , G06F15/18
CPC分类号： G06K9/00281 , G06K9/4609 , G06N3/0481 , G06N3/084
摘要： A system is provided for locating at least two points of interest in an object image. One such system uses an artificial neural network and has a layered architecture having: an input layer, which receives the object image; at least one intermediate layer, known as the first intermediate layer, consisting of a plurality of neurons that can be used to generate at least two saliency maps, which are each associated with a different pre-defined point of interest in the object image; and at least one output layer, which contains the aforementioned saliency maps. The maps include a plurality of neurons, which are each connected to all of the neurons in the first intermediate layer. The points of interest are located in the object image by the position of a unique global maximum on each of the saliency maps.
摘要翻译：提供了一种用于在物体图像中定位至少两个感兴趣点的系统。一种这样的系统使用人造神经网络并具有分层架构，其具有：输入层，其接收对象图像; 称为第一中间层的至少一个中间层由多个可用于生成至少两个显着图的神经元组成，每个神经元各自与对象图像中的不同预定义的兴趣点相关联; 和至少一个包含上述显着图的输出层。地图包括多个神经元，它们各自连接到第一中间层中的所有神经元。感兴趣点位于每个显着图上独特全局最大值位置的对象图像中。

3. 发明申请

US20070250185A1 Method, apparatus and software for verifying a parameter value against a predetermined threshold function 有权
标题翻译：用于根据预定阈值函数验证参数值的方法，装置和软件
公开(公告)号：US20070250185A1
公开(公告)日：2007-10-25
申请号：US11785711
申请日：2007-04-19
申请人： Christophe Laye , Frederic Eynard , Christophe Garcia
发明人： Christophe Laye , Frederic Eynard , Christophe Garcia
IPC分类号： G05B13/02
CPC分类号： G06Q10/10
摘要： A method, apparatus or software are disclosed for verifying a parameter value against a predetermined threshold function in which a sequence of reference values is retrieved, each reference value being associated with a respective sampling point N, said reference values representing a threshold function at said respective sampling points N; a profile type is associated with said threshold function, said profile type being arranged, when combined with said sequence of reference values, to provide an approximation to said threshold function for a region of said threshold function between said reference values; a parameter value is received for verification against said threshold function, said parameter value being associated with a discrete time P; said sequence of reference values is combined with said profile type to provide an approximation of said threshold function; and said parameter value is verified against said approximation of said threshold function.
摘要翻译：公开了一种用于根据预定阈值函数验证参数值的方法，装置或软件，其中检索参考值序列，每个参考值与相应的采样点N相关联，所述参考值表示在所述各个参考值处的阈值函数采样点N; 简档类型与所述阈值函数相关联，当与所述参考值序列组合时，所述简档类型被布置为对所述参考值之间的所述阈值函数的区域提供对所述阈值函数的近似值; 接收用于根据所述阈值函数进行验证的参数值，所述参数值与离散时间P相关联; 所述参考值序列与所述轮廓类型组合以提供所述阈值函数的近似值; 并且根据所述阈值函数的近似来验证所述参数值。

4. 发明申请

US20080014563A1 Method for Recognising Faces by Means of a Two-Dimensional Linear Disriminant Analysis 有权
标题翻译：通过二维线性判别分析识别面的方法
公开(公告)号：US20080014563A1
公开(公告)日：2008-01-17
申请号：US11628321
申请日：2004-06-04
申请人： Muriel Visani , Christophe Garcia , Christophe Laurent
发明人： Muriel Visani , Christophe Garcia , Christophe Laurent
IPC分类号： G09B19/00
CPC分类号： G06K9/6235 , G06K9/00275
摘要： The invention relates to a method for recognizing faces in digital images consisting in providing for a knowledge base which contains face images and is hierarchical into several classes each of which comprises different images of the same person. The invention relates to pre-processing said knowledge base in such a way that a minimization of variance in each class and a maximization of variance between different classes are simultaneously obtainable, thereby making it possible to form a vectorial base comprising the discriminant component of said knowledge base. The comparison of a recognizable face with a pre-processed reference face such as the knowledge base and an eventual reconstruction of a recognized face are also disclosed.
摘要翻译：本发明涉及一种用于识别数字图像中的面部的方法，包括提供包含面部图像的知识库，并且被分层成几个类别，每个类别包括同一人的不同图像。本发明涉及以这样的方式预处理所述知识库，使得可以同时获得每个类中的方差最小化和不同类之间的最大化方差，由此可以形成包括所述知识的判别分量的矢量基基础。还公开了可识别面部与预处理参考面（例如知识库）和识别面部的最终重建的比较。

5. 发明授权

US07856123B2 Method for recognising faces by means of a two-dimensional linear discriminant analysis 有权
标题翻译：通过二维线性判别分析识别面部的方法
公开(公告)号：US07856123B2
公开(公告)日：2010-12-21
申请号：US11628321
申请日：2004-06-04
申请人： Muriel Visani , Christophe Garcia , Christophe Laurent
发明人： Muriel Visani , Christophe Garcia , Christophe Laurent
IPC分类号： G06K9/00
CPC分类号： G06K9/6235 , G06K9/00275
摘要： The invention relates to a method for recognizing faces in digital images consisting in providing for a knowledge base which contains face images and is hierarchical into several classes each of which comprises different images of the same person. The invention relates to pre-processing said knowledge base in such a way that a minimization of variance in each class and a maximization of variance between different classes are simultaneously obtainable, thereby making it possible to form a vectorial base comprising the discriminant component of said knowledge base. The comparison of a recognizable face with a pre-processed reference face such as the knowledge base and an eventual reconstruction of a recognized face are also disclosed.
摘要翻译：本发明涉及一种用于识别数字图像中的面部的方法，包括提供包含面部图像的知识库，并且被分层成几个类别，每个类别包括同一人的不同图像。本发明涉及以这样的方式预处理所述知识库，使得可以同时获得每个类中的方差最小化和不同类之间的最大化方差，由此可以形成包括所述知识的判别分量的矢量基基础。还公开了可识别面部与预处理参考面（例如知识库）和识别面部的最终重建的比较。

6. 发明申请

US20100078510A1 WASTE COMMINUTING DEVICE 审中-公开
标题翻译：废物处理设备
公开(公告)号：US20100078510A1
公开(公告)日：2010-04-01
申请号：US12514665
申请日：2007-11-16
申请人： Patrick Le Rolland , Christophe Garcia , Laurent Galinier
发明人： Patrick Le Rolland , Christophe Garcia , Laurent Galinier
IPC分类号： B02C18/14 , B02C18/18
CPC分类号： B02C18/145 , B02C18/146 , B02C18/18 , B02C2018/188 , B02C2201/04
摘要： A waste comminuting device includes a comminuting housing (1), a rotor (2) provided with a plurality of protruding peripheral knives, stationary counterblades supported by the comminuting housing, the minimal distance separating each knife from each associated counterblade, during the passage of the knife opposite the counterblade, being equal to an operating clearance, called the cutting size. For each knife (3, 4, 5, 6) and for at least one direction of rotation of the rotor, at least two non-aligned counterblades (7 and 11, 8 and 12, 9 and 13, 10 and 14) associated with the knife are adapted so that the distance separating the leading edge (45) of the knife and the leading edge (48, 56) of a counterblade at the moment when the leading edge of the knife opposes the leading edge of the counterblade, is different from one counterblade (7-10) to another (11-14).
摘要翻译：废粉碎装置包括粉碎室（1），设置有多个突出周边刀的转子（2），由粉碎壳体支撑的固定的对刀，在每个相关联的刀刃通过期间将每个刀与每个相关联的刀刃分开的最小距离刀对着刀刃，等于工作间隙，称为切割尺寸。对于每个刀具（3,4,5,6），并且对于转子的至少一个旋转方向，至少两个非对齐的对刀刃（7和11,8和12,9和13,10和14）与适于使刀在刀的前缘与对刀的前缘相对的时刻分离刀的前缘（45）和刀刃的前缘（48,56）的距离是不同的从一个对刀（7-10）到另一个（11-14）。

7. 发明申请

US20080279424A1 Method of Identifying Faces from Face Images and Corresponding Device and Computer Program 审中-公开
标题翻译：识别面部图像和相应设备和计算机程序的方法
公开(公告)号：US20080279424A1
公开(公告)日：2008-11-13
申请号：US11910158
申请日：2006-03-28
申请人： Sid Ahmed Berrani , Christophe Garcia
发明人： Sid Ahmed Berrani , Christophe Garcia
IPC分类号： G06K9/80
CPC分类号： G06K9/6284 , G06K9/00288 , G06K9/6247
摘要： A method identifying faces from facial images called query images, associated with at least one person, including a learning phase using learning images and a recognition phase used to identify the faces appearing in query images. The learning phase includes filtering the images, applied on the basis of a group of at least two learning facial images associated with the at least one person, enabling selection of at least one learning image representing the face to be identified. The recognition phase uses only the learning images selected during the learning phase. Filtering is performed using at least one of the thresholds belonging to the group including: a maximum distance taking at least account of the membership of the vectors in a cloud constituted by the vectors; and a maximum distance between the vectors and vectors rebuilt after projection of the vectors on a space associated with said cloud of vectors.
摘要翻译：一种识别与至少一个人相关联的称为查询图像的面部的方法，包括使用学习图像的学习阶段和用于识别出现在查询图像中的面部的识别阶段。所述学习阶段包括基于与所述至少一个人相关联的至少两个学习面部图像的组应用图像，使得能够选择表示要识别的面部的至少一个学习图像。识别阶段仅使用在学习阶段中选择的学习图像。使用属于该组的阈值中的至少一个来执行过滤，包括：至少考虑由矢量构成的云中的矢量的隶属度的最大距离; 以及向量与在与所述向量云相关联的空间上投影之后重建的向量之间的最大距离。

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