公开(公告)号：US20070274574A1

公开(公告)日：2007-11-29

申请号：US11659640

申请日：2005-08-19

申请人： Terrance Boult ,  Gang Zheng ,  Chia-Jiu Wang

发明人： Terrance Boult ,  Gang Zheng ,  Chia-Jiu Wang

IPC分类号： G06F19/00

CPC分类号： G06K9/00375

摘要： Techniques, systems and methods for obtaining biometric signatures and identification are described. Broadly stated, embodiments of the present invention utilize specified geometric principles t provide means for accurate biometric identification using projective invariant features of a subregion of the human body. The present invention provides a means for computing biometric signatures and identification that are projective invariant and hence are not impacted by the viewing angle of the subregion of the human body containing the biometric data. This novel invention removes the restriction, often implicit in the previous work, of the imaging or sensing system being in a fixed repeatable (and generally orthogonal) viewing position. This invention can be applied across a wide range of biometrics, although it is most easily applicable to features that are approximately co-planar. A plurality of such projective invariant features can be used to define a biometric signature to either verify an individual's identity, or recognize an individual from a database of already known persons.

摘要翻译： 描述了用于获取生物特征和识别的技术，系统和方法。 广义地说，本发明的实施例利用指定的几何原理，提供使用人体的子区域的投射不变特征进行精确生物识别的手段。 本发明提供了一种用于计算生物识别签名和识别的装置，其是投影不变量，因此不受包含生物特征数据的人体子区域的视角的影响。 该新颖的发明消除了在先前的工作中通常隐含的成像或感测系统处于固定的可重复（并且大致正交）观看位置的限制。 本发明可以应用于广泛的生物特征，尽管它最容易适用于近似共面的特征。 可以使用多个这样的投影不变特征来定义生物识别签名以验证个人的身份，或者从已知人的数据库中识别个人。

公开(公告)号：US07006128B2

公开(公告)日：2006-02-28

申请号：US10158632

申请日：2002-05-30

申请人： Binglong Xie ,  Visvanathan Ramesh ,  Terrance Boult

发明人： Binglong Xie ,  Visvanathan Ramesh ,  Terrance Boult

IPC分类号： H04N7/18

CPC分类号： G08B13/19604 ,  G06T7/254

摘要： A system and method for object detection with sudden illumination changes provides a system including a camera model unit for computing a difference map between a first input image and a second input image, an illumination model unit in signal communication with the camera model unit for comparing the sign of the difference between two pixels in a first input image against the sign of the difference between two pixels in a second input image, and a CPU in signal communication with the camera model unit and the illumination model unit for detecting a changed object in accordance with said comparison when said sign of the difference is changed; and a corresponding method including providing a first image having a number of pixels, receiving a second image subsequent to the first image, calculating a difference map between the first and second images, selecting a pair of pixel locations from the first or second images in accordance with the difference map, statistically modeling a camera noise level for the first and second images, computing the likelihood of order inconsistency between a pair of pixel values at the selected locations in the first image and a pair of pixel values at the selected locations in the second image in accordance with the camera noise level; and detecting a changed object in accordance with the computed likelihood.

公开(公告)号：US07495699B2

公开(公告)日：2009-02-24

申请号：US10951047

申请日：2004-09-23

申请人： Shree K. Nayar ,  Terrance Boult

发明人： Shree K. Nayar ,  Terrance Boult

IPC分类号： H04N5/262 ,  H04N5/235 ,  H04N5/228

CPC分类号： H04N5/2355 ,  H04N5/2351

摘要： A method and system for accurately imaging scenes having large brightness variations. If a particular object in the scene is of interest, the imager exposure setting is adjusted based on the brightness of that object. For high dynamic range imaging of an entire scene, two imagers with different viewpoints and exposure settings are used, or the exposure setting of a single imager is varied as multiple images are captured. An optical flow technique can be used to track and image moving objects, or a video sequence can be generated by selectively updating only those pixels whose brightnesses are within the preferred brightness range of the imager.

摘要翻译： 一种准确地成像具有较大亮度变化的场景的方法和系统。 如果场景中的特定对象感兴趣，则基于该对象的亮度来调整成像器曝光设置。 对于整个场景的高动态范围成像，使用具有不同视点和曝光设置的两个成像器，或者单个成像器的曝光设置随着捕获多个图像而变化。 可以使用光流技术来跟踪和图像移动物体，或者可以通过仅选择性地更新其亮度在成像器的优选亮度范围内的像素来生成视频序列。

公开(公告)号：US20050275747A1

公开(公告)日：2005-12-15

申请号：US10951047

申请日：2004-09-23

申请人： Shree Nayar ,  Terrance Boult

发明人： Shree Nayar ,  Terrance Boult

IPC分类号： H04N5/235

CPC分类号： H04N5/2355 ,  H04N5/2351

摘要： A method and system for accurately imaging scenes having large brightness variations. If a particular object in the scene is of interest, the imager exposure setting is adjusted based on the brightness of that object. For high dynamic range imaging of an entire scene, two imagers with different viewpoints and exposure settings are used, or the exposure setting of a single imager is varied as multiple images are captured. An optical flow technique can be used to track and image moving objects, or a video sequence can be generated by selectively updating only those pixels whose brightnesses are within the preferred brightness range of the imager.

摘要翻译： 一种用于准确地成像具有较大亮度变化的场景的方法和系统。 如果场景中的特定对象感兴趣，则基于该对象的亮度来调整成像器曝光设置。 对于整个场景的高动态范围成像，使用具有不同视点和曝光设置的两个成像器，或者单个成像器的曝光设置随着捕获多个图像而变化。 可以使用光流技术来跟踪和图像移动物体，或者可以通过仅选择性地更新其亮度在成像器的优选亮度范围内的像素来生成视频序列。