专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08970579B2 Computer system and method for generating a 3D geometric model 有权
标题翻译：用于生成3D几何模型的计算机系统和方法
公开(公告)号：US08970579B2
公开(公告)日：2015-03-03
申请号：US12671014
申请日：2008-07-22
申请人： Pascal Muller , Gang Zeng , Luc Van Gool
发明人： Pascal Muller , Gang Zeng , Luc Van Gool
IPC分类号： G06T17/00 , G06K9/46 , G06T17/10
CPC分类号： G06F17/5004 , G06K9/4604 , G06T17/005 , G06T17/10
摘要： For generating a 3D geometric model (44) and/or a definition of the 3D geometric model from a single digital image of a building facade (4), a facade structure is detected from the digital image by dividing the facade (4) along horizontal lines into horizontal layers representative of floors (41), and by dividing the horizontal layers along vertical lines into tiles (42). The tiles (42) are further subdivided into a hierarchy of rectangular image regions (43). 3D architectural objects (45) corresponding to the image regions (43) are determined in an architectural element library. The 3D geometric model (44) or the definition of the 3D geometric model is generated based on the facade structure, the hierarchy and the 3D architectural objects (45). The library-based generation of the 3D geometric model makes it possible to enhance simple textured building models constructed from aerial images and/or ground-based photographs.
摘要翻译：为了从建筑立面（4）的单个数字图像生成3D几何模型（44）和/或3D几何模型的定义，通过将立面（4）沿水平方向分割，从数字图像检测立面结构将水平层划分成代表层（41）的水平层，并且通过沿着垂直线将水平层划分成瓦片（42）。瓦片（42）进一步细分为矩形图像区域（43）的层级。在建筑元素库中确定对应于图像区域（43）的3D建筑物体（45）。基于立面结构，层次结构和3D建筑对象（45）生成3D几何模型（44）或3D几何模型的定义。基于图书馆的3D几何模型可以增强由空中图像和/或地面照片构成的简单纹理建筑模型。

2. 发明授权

US08213684B2 Motion estimating device 有权
标题翻译：运动估计装置
公开(公告)号：US08213684B2
公开(公告)日：2012-07-03
申请号：US12488878
申请日：2009-06-22
申请人： Andreas Ess , Bastian Leibe , Konrad Schindler , Luc Van Gool , Kenichi Kitahama , Ryuji Funayama
发明人： Andreas Ess , Bastian Leibe , Konrad Schindler , Luc Van Gool , Kenichi Kitahama , Ryuji Funayama
IPC分类号： G06K9/00
CPC分类号： G06T7/246 , G06T7/215
摘要： A motion estimating device first detects mobile objects Oi and Oi′ in continuous image frames T and T′, and acquires image areas Ri and Ri′ corresponding to the mobile objects Oi and Oi′. Then, the motion estimating device removes the image areas Ri and Ri′ corresponding to the mobile objects Oi and Oi′ in the image frames T and T′, extracts corresponding point pairs Pj of feature points between the image frames T and T′ from the image areas having removed the image areas Ri and Ri′, and carries out the motion estimation of the autonomous mobile machine between the image frames T and T′ on the basis of the positional relationship of the corresponding point pairs Pj of feature points.
摘要翻译：运动估计装置首先检测连续图像帧T和T'中的移动对象Oi和Oi'，并获取对应于移动对象Oi和Oi'的图像区域Ri和Ri'。然后，运动估计装置去除与图像帧T和T'中的移动对象Oi和Oi'相对应的图像区域Ri和Ri'，从图像帧T和T'中提取图像帧T和T'之间的特征点的对应点对Pj，图像区域已经去除了图像区域Ri和Ri'，并且基于特征点的对应点对Pj的位置关系在图像帧T和T'之间执行自主移动机器的运动估计。

3. 发明申请

US20210064901A1 FACIAL LIVENESS DETECTION WITH A MOBILE DEVICE 有权
公开(公告)号：US20210064901A1
公开(公告)日：2021-03-04
申请号：US17006256
申请日：2020-08-28
申请人： Mikhail Vorobiev , Nevena Shamoska , Magdalena Polac , Benjamin Fankhauser , Michael Goettlicher , Marcus Hudritsch , Stamatios Georgoulis , Suman Saha , Luc van Gool , PXL Vision AG , Bern University of Applied Sciences , Swiss Federal Institute of Technology Zurich
发明人： Mikhail Vorobiev , Nevena Shamoska , Magdalena Polac , Benjamin Fankhauser , Michael Goettlicher , Marcus Hudritsch , Stamatios Georgoulis , Suman Saha , Luc van Gool
IPC分类号： G06K9/00 , G06K9/62 , G06N3/08
摘要： A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document, using automated verification of identification documents and detection that a live person identified by the document is present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks. The deep learning model may be trained using training data extracted from facial feature locations of training images.

4. 发明申请

US20210264196A1 METHOD, RECORDING MEDIUM AND SYSTEM FOR PROCESSING AT LEAST ONE IMAGE, AND VEHICLE INCLUDING THE SYSTEM 有权
公开(公告)号：US20210264196A1
公开(公告)日：2021-08-26
申请号：US17177264
申请日：2021-02-17
申请人： Wim ABBELOOS , Daniel OLMEDA REINO , Hazem ABDELKAWY , Jonas HEYLEN , Mark DE WOLF , Bruno DAWAGNE , Michael BARNES , Wim LEMKENS , Marc PROESMANS , Luc VAN GOOL
发明人： Wim ABBELOOS , Daniel OLMEDA REINO , Hazem ABDELKAWY , Jonas HEYLEN , Mark DE WOLF , Bruno DAWAGNE , Michael BARNES , Wim LEMKENS , Marc PROESMANS , Luc VAN GOOL
IPC分类号： G06K9/62 , G06N3/04 , G06K9/00 , G06T7/187 , G06T7/60
摘要： The present disclosure provides a method for processing at least one image comprising inputting the image to at least one neural network, the at least one network being configured to deliver, for each pixel of a group of pixels belonging to an object of a given type visible on the image, an estimation of object parameters that are parameters of the object. The method further comprising processing the estimations of the object parameters using an instance segmentation mask identifying instances of objects having the given type.

5. 发明申请

US20210064900A1 ID VERIFICATION WITH A MOBILE DEVICE 有权
公开(公告)号：US20210064900A1
公开(公告)日：2021-03-04
申请号：US17006188
申请日：2020-08-28
申请人： Mikhail Vorobiev , Nevena Shamoska , Magdalena Polac , Benjamin Fankhauser , Michael Goettlicher , Marcus Hudritsch , Suman Saha , Stamatios Georgoulis , Luc van Gool , Bern University of Applied Sciences , Swiss Federal Institute of Technology Zurich , PXL Vision AG
发明人： Mikhail Vorobiev , Nevena Shamoska , Magdalena Polac , Benjamin Fankhauser , Michael Goettlicher , Marcus Hudritsch , Suman Saha , Stamatios Georgoulis , Luc van Goo
IPC分类号： G06K9/00 , G06K9/32 , G06K9/62 , B42D25/23 , B42D25/328 , G06N3/08
摘要： A system for remote identification of users. The system uses deep learning techniques for authenticating a user from an identification document and using automated verification of identification documents. Identification documents may be authenticated by validating security features. The system may determine features expected in a valid identification document and determine whether those features are present, employing techniques, such as determining whether direction-sensitive features are present. Liveness of a user indicated by the identification document may be determined with a deep learning model trained for identification of facial spoofing attacks.

6. 发明授权

US08911358B2 Endoscopic vision system 有权
标题翻译：内镜视力系统
公开(公告)号：US08911358B2
公开(公告)日：2014-12-16
申请号：US12373036
申请日：2007-07-09
申请人： Philippe Koninckx , Thomas Koninckx , Luc Van Gool
发明人： Philippe Koninckx , Thomas Koninckx , Luc Van Gool
IPC分类号： A61B1/00 , A61B1/04
CPC分类号： A61B1/042 , A61B1/0005 , A61B1/00181 , A61B1/00193 , H04N2005/2255
摘要： A multiple viewpoint endoscope system having a multiple viewpoint camera setup and/or an intelligent or cognitive image control system and display device particularly adapted for localizing internal structures within a cavity or an enclosing structure, such as an animal body, for instance the abdomen of an animal or human, or for localizing a real or synthetic image of such internal structures within an overview image or on an overview 3D model.
摘要翻译：一种具有多视点相机设置和/或智能或认知图像控制系统和显示装置的多视点内窥镜系统，其特别适用于将腔体或封闭结构（诸如动物体）内的内部结构定位，例如，或用于在概览图像或概述3D模型中定位这样的内部结构的真实或合成图像。

7. 发明申请

US20120201466A1 ROBUST INTEREST POINT DETECTOR AND DESCRIPTOR 有权
标题翻译：可靠的兴趣点检测器和描述符
公开(公告)号：US20120201466A1
公开(公告)日：2012-08-09
申请号：US13448562
申请日：2012-04-17
申请人： Ryuji FUNAYAMA , Hiromichi YANAGIHARA , Luc VAN GOOL , Tinne TUYTELAARS , Herbert BAY
发明人： Ryuji FUNAYAMA , Hiromichi YANAGIHARA , Luc VAN GOOL , Tinne TUYTELAARS , Herbert BAY
IPC分类号： G06K9/46
CPC分类号： G06K9/4671 , G06K9/4614 , G06K9/56
摘要： A method for operating on images is described for interest point detection and/or description working under different scales and with different rotations, e.g. for scale-invariant and rotation-invariant interest point detection and/or description.
摘要翻译：描述了用于在图像上操作的方法，用于在不同尺度和不同旋转下的感兴趣点检测和/或描述工作，例如，用于尺度不变和旋转不变的兴趣点检测和/或描述。

8. 发明申请

US20090259102A1 ENDOSCOPIC VISION SYSTEM 有权
标题翻译：内窥镜视觉系统
公开(公告)号：US20090259102A1
公开(公告)日：2009-10-15
申请号：US12373036
申请日：2007-07-09
申请人： Philippe Koninckx , Thomas Koninckx , Luc Van Gool
发明人： Philippe Koninckx , Thomas Koninckx , Luc Van Gool
IPC分类号： A61B1/04 , H04N13/00
CPC分类号： A61B1/042 , A61B1/0005 , A61B1/00181 , A61B1/00193 , H04N2005/2255
摘要： The present invention relates to a novel endoscope or an optical large view endoscopic system with improved depth perception. In particular, a multiple viewpoint endoscope system comprising a multiple viewpoint camera setup and/or an intelligent or cognitive image control system and display device particularly adapted for localising internal structures within a cavity or an enclosing structure, such as an animal body, for instance the abdomen of an animal or human, or for localising a real or synthetic image of such internal structures within an overview image or on an overview 3D model.
摘要翻译：本发明涉及一种具有改进的深度感知的新型内窥镜或光学大视野内窥镜系统。特别地，包括多视点相机设置和/或智能或认知图像控制系统和显示设备的多视点内窥镜系统，其特别适用于将空腔或封闭结构（诸如动物体）内的内部结构定位，例如，动物或人类的腹部，或用于在概览图像或概述3D模型中定位这样的内部结构的真实或合成图像。

9. 发明申请

US20090238460A1 ROBUST INTEREST POINT DETECTOR AND DESCRIPTOR 有权
标题翻译：可靠的兴趣点检测器和描述符
公开(公告)号：US20090238460A1
公开(公告)日：2009-09-24
申请号：US12298879
申请日：2007-04-30
申请人： Ryuji Funayama , Hiromichi Yanagihara , Luc Van Gool , Tinne Tuytelaars , Herbert Bay
发明人： Ryuji Funayama , Hiromichi Yanagihara , Luc Van Gool , Tinne Tuytelaars , Herbert Bay
IPC分类号： G06K9/00
CPC分类号： G06K9/4671 , G06K9/4614 , G06K9/56
摘要： Methods and apparatus for operating on images are described, in particular methods and apparatus for interest point detection and/or description working under different scales and with different rotations, e.g. for scale-invariant and rotation-invariant interest point detection and/or description. The present invention can provide improved or alternative apparatus and methods for matching interest points either in the same image or in a different image. The present invention can provide alternative or improved software for implementing any of the methods of the invention. The present invention can provide alternative or improved data structures created by multiple filtering operations to generate a plurality of filtered images as well as data structures for storing the filtered images themselves, e.g. as stored in memory or transmitted through a network. The present invention can provide alternative or improved data structures including descriptors of interest points in images, e.g. as stored in memory or transmitted through a network as well as datastructures associating such descriptors with an original copy of the image or an image derived therefrom, e.g. a thumbnail image.
摘要翻译：描述了用于在图像上操作的方法和装置，特别是用于在不同尺度和不同旋转下进行兴趣点检测和/或描述的方法和装置，例如，用于尺度不变和旋转不变的兴趣点检测和/或描述。本发明可以提供用于在相同图像或不同图像中匹配兴趣点的改进的或替代的装置和方法。本发明可以提供用于实现本发明的任何方法的替代或改进的软件。本发明可以提供通过多次滤波操作产生的替代或改进的数据结构，以产生多个滤波图像，以及用于存储滤波图像本身的数据结构，例如，存储在存储器中或通过网络传输。本发明可以提供替代或改进的数据结构，包括图像中的兴趣点的描述符，例如。如存储在存储器中或通过网络传输的数据结构以及将这样的描述符与图像的原始副本或从其导出的图像相关联的数据结构。缩略图。

10. 发明授权

US09519843B2 Object recognition device 有权
标题翻译：物体识别装置
公开(公告)号：US09519843B2
公开(公告)日：2016-12-13
申请号：US14126690
申请日：2012-06-14
申请人： Nima Razavi , Juergen Gall , Luc Van Gool , Ryuji Funayama
发明人： Nima Razavi , Juergen Gall , Luc Van Gool , Ryuji Funayama
IPC分类号： G06K9/62 , G06K9/00 , G06K9/46
CPC分类号： G06K9/6267 , G06K9/00791 , G06K9/00805 , G06K9/4633 , G06K9/6219 , G06K9/6282 , G06K2209/27
摘要： A learning unit generates a function table indicating the relationship between the class number and position information of an object and the probability of appearance of the object for each small area image pattern of a code book, calculates a sharing matrix indicating the commonality of a feature amount between the classes, makes a tree diagram in which the classes with a similar feature amount are clustered, and calculates the weight of each node in the tree diagram for each small area image pattern. The recognition processing unit compares image data captured by a camera with the code book, selects the closest small area image pattern, extracts the class related to the node with the smallest weight among the nodes with a weight equal to or greater than a threshold value, and votes the position information of the small area image pattern for the class, thereby recognizing the object.
摘要翻译：学习单元生成指示对象的类号和位置信息之间的关系的函数表以及代码本的每个小区域图像图案的对象的出现概率，计算表示特征量的共同性的共享矩阵在类之间，形成一个树形图，其中具有相似特征量的类被聚类，并且为每个小区域图像模式计算树形图中每个节点的权重。识别处理单元将照相机拍摄的图像数据与码本进行比较，选择最接近的小区域图像图案，提取具有等于或大于阈值的权重的节点中具有最小权重的节点的类别，并且对该类别的小区域图像图案的位置信息进行投票，从而识别对象。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式