公开(公告)号：US06597818B2

公开(公告)日：2003-07-22

申请号：US09803700

申请日：2001-03-09

Applicant: Rakesh Kumar ,  Stephen Charles Hsu ,  Keith Hanna ,  Supun Samarasekera ,  Richard Patrick Wildes ,  David James Hirvonen ,  Thomas Edward Klinedinst ,  William Brian Lehman ,  Bodgan Matei ,  Wenyi Zhao ,  Barbara Levienaise-Obadia

Inventor： Rakesh Kumar ,  Stephen Charles Hsu ,  Keith Hanna ,  Supun Samarasekera ,  Richard Patrick Wildes ,  David James Hirvonen ,  Thomas Edward Klinedinst ,  William Brian Lehman ,  Bodgan Matei ,  Wenyi Zhao ,  Barbara Levienaise-Obadia

IPC: G06K932

CPC classification number: G06T3/4038 ,  G06T3/0081 ,  G06T7/35 ,  Y10S707/99943

Abstract: A system and method for accurately mapping between image coordinates and geo-coordinates, called geo-spatial registration. The system utilizes the imagery and terrain information contained in the geo-spatial database to precisely align geodetically calibrated reference imagery with an input image, e.g., dynamically generated video images, and thus achieve a high accuracy identification of locations within the scene. When a sensor, such as a video camera, images a scene contained in the geo-spatial database, the system recalls a reference image pertaining to the imaged scene. This reference image is aligned very accurately with the sensor's images using a parametric transformation. Thereafter, other information that is associated with the reference image can easily be overlaid upon or otherwise associated with the sensor imagery.

Abstract translation: 用于在图像坐标和地理坐标之间精确映射的系统和方法，称为地理空间注册。 该系统利用包含在地理空间数据库中的图像和地形信息来精确地对准地质学校准的参考图像与输入图像，例如动态生成的视频图像，从而实现对场景内部的位置的高精确度识别。 当诸如摄像机的传感器对包含在地理空间数据库中的场景进行成像时，系统调用与成像场景相关的参考图像。 该参考图像使用参数变换与传感器的图像非常准确地对齐。 此后，与参考图像相关联的其他信息可以容易地覆盖在传感器图像上或以其他方式与传感器图像相关联。

公开(公告)号：US20200293807A1

公开(公告)日：2020-09-17

申请号：US16355665

申请日：2019-03-15

Applicant: Ali Ghobadzadeh ,  Juwei Lu ,  Richard Patrick Wildes ,  Wei Li

Inventor： Ali Ghobadzadeh ,  Juwei Lu ,  Richard Patrick Wildes ,  Wei Li

IPC: G06K9/32 ,  G06K9/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: By adding a side network to a face recognition network, output of early convolution blocks may be used to determine relative bounding box values. The relative bounding box values may be used to refine existing boundary box value with an eye on improving the generation, by the face recognition network, of embedding vectors.

公开(公告)号：US5751836A

公开(公告)日：1998-05-12

申请号：US727366

申请日：1996-09-27

Applicant: Richard Patrick Wildes ,  Jane Circle Asmuth ,  Keith James Hanna ,  Stephen Charles Hsu ,  Raymond Joseph Kolczynski ,  James Regis Matey ,  Sterling Eduard McBride

Inventor： Richard Patrick Wildes ,  Jane Circle Asmuth ,  Keith James Hanna ,  Stephen Charles Hsu ,  Raymond Joseph Kolczynski ,  James Regis Matey ,  Sterling Eduard McBride

IPC: G06T7/00 ,  A61B5/117 ,  G06K9/00 ,  G06K9/32 ,  G06T1/00 ,  G07C9/00

CPC classification number: G06K9/00 ,  G06K9/00597 ,  G07C9/00158 ,  G06K9/3216

Abstract: Iris recognition is achieved by (1) iris acquisition that permits a user to self-position his or her eye into an imager's field of view without the need for any physical contact, (2) spatially locating the data defining that portion of a digitized video image of the user's eye that defines solely the iris thereof without any initial spatial condition of the iris being provided, and (3) pattern matching the spatially located data defining the iris of the user's eye with stored data defining a model iris by employing normalized spatial correlation for first comparing, at each of a plurality of spatial scales, each of distinctive spatial characteristics of the respective irises that are spatially registered with one another to quantitatively determine, at each of the plurality of spatial scales, a goodness value of match at that spatial scale, and then judging whether or not the pattern which manifests solely the iris of the user's eye matches the digital data which manifests solely the model iris in accordance with a certain combination of the quantitatively-determined goodness values of match at each of said plurality of spatial scales.

公开(公告)号：US06535620B2

公开(公告)日：2003-03-18

申请号：US09803774

申请日：2001-03-12

Applicant: Richard Patrick Wildes ,  James Russell Bergen

Inventor： Richard Patrick Wildes ,  James Russell Bergen

IPC: G06K900

CPC classification number: G06K9/00335 ,  G06T7/262

Abstract: The present invention is embodied in a method for representing and analyzing spatiotemporal data in order to make qualitative yet semantically meaningful distinctions among various regions of the data at an early processing stage. In one embodiment of the invention, successive frames of image data are analyzed to classify spatiotemporal regions as being stationary, exhibiting coherent motion, exhibiting incoherent motion, exhibiting scintillation and so lacking in structure as to not support further inference. The exemplary method includes filtering the image data in a spatiotemporal plane to identify regions that exhibit various spatiotemporal characteristics. The output data provided by these filters is then used to classify the data.

Abstract translation: 本发明体现在一种用于表示和分析时空数据的方法，以便在早期处理阶段在数据的各个区域之间进行定性但语义上的有意义的区别。 在本发明的一个实施例中，分析连续的图像数据帧以将时空区域分类为静止的，表现出相干运动，表现出非相干运动，呈现闪烁，因此缺乏结构，从而不支持进一步的推断。 示例性方法包括在时空平面中对图像数据进行过滤，以识别表现出各种时空特征的区域。 然后使用这些过滤器提供的输出数据对数据进行分类。