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公开(公告)号：US07483569B2
公开(公告)日：2009-01-27
申请号：US10857072
申请日：2004-05-28
Applicant: Vijayakumar Bhagavatula , Marios Savvides
Inventor： Vijayakumar Bhagavatula , Marios Savvides
CPC classification number: G06K9/746
Abstract: A methodology is described to reduce the complexity of filters for face recognition by reducing the memory requirement to, for example, 2 bits/pixel in the frequency domain. Reduced-complexity correlations are achieved by having quantized MACE, UMACE, OTSDF, UOTSDF, MACH, and other filters, in conjunction with a quantized Fourier transform of the input image. This reduces complexity in comparison to the advanced correlation filters using full-phase correlation. However, the verification performance of the reduced complexity filters is comparable to that of full-complexity filters. A special case of using 4-phases to represent both the filter and training/test images in the Fourier domain leads to further reductions in the computational formulations. This also enables the storage and synthesis of filters in limited-memory and limited-computational power platforms such as PDAs, cell phones, etc. An online training algorithm implemented on a face verification system is described for synthesizing correlation filters to handle pose/scale variations. A way to perform efficient face localization is also discussed. Because of the rules governing abstracts, this abstract should not be used to construe the claims.
Abstract translation: 描述了一种方法，通过将存储器需求降低到例如频域中的2位/像素来减少用于人脸识别的滤波器的复杂度。 通过与量化的MACE，UMACE，OTSDF，UOTSDF，MACH和其他滤波器结合输入图像的量化傅立叶变换来实现降低复杂度的相关性。 与使用全相位相关的高级相关滤波器相比，这降低了复杂度。 然而，降低的复杂度滤波器的验证性能与全复杂度滤波器的验证性能相当。 在傅立叶域中使用4相代表滤波器和训练/测试图像的特殊情况导致计算公式的进一步减少。 这也使得能够在有限存储器和有限计算能力平台（例如PDA，蜂窝电话等）中存储和合成滤波器。描述了在面部验证系统上实现的在线训练算法，用于合成相关滤波器以处理姿态/比例变化 。 还讨论了执行有效面部定位的一种方法。 由于管理摘要的规则，本摘要不应用于解释索赔。
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2.发明授权公开(公告)号：US08861799B2
公开(公告)日：2014-10-14
申请号：US13846837
申请日：2013-03-18
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
Abstract translation: 一种用于基于虹膜图像唯一地识别对象的方法和系统。 获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。 该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。 该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以 对数极坐标系，采用对数表示过程。 该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。
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3.发明申请公开(公告)号：US20130236067A1
公开(公告)日：2013-09-12
申请号：US13846837
申请日：2013-03-18
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
IPC: G06K9/00
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
Abstract translation: 一种用于基于虹膜图像唯一地识别对象的方法和系统。 获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。 该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。 该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以 对数极坐标系，采用对数表示过程。 该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。
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4.发明申请公开(公告)号：US20100014718A1
公开(公告)日：2010-01-21
申请号：US12426210
申请日：2009-04-17
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
IPC: G06K9/00
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
Abstract translation: 一种用于基于虹膜图像唯一地识别对象的方法和系统。 获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。 该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。 该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以 对数极坐标系，采用对数表示过程。 该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。
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公开(公告)号：US09454697B2
公开(公告)日：2016-09-27
申请号：US14481861
申请日：2014-09-09
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
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Patent Agency Ranking
公开(公告)号：US20160019422A1
公开(公告)日：2016-01-21
申请号：US14481861
申请日：2014-09-09
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sungwon Park , Yung-Hui Li
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
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7.发明授权公开(公告)号：US08411910B2
公开(公告)日：2013-04-02
申请号：US12426210
申请日：2009-04-17
Applicant: Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
Inventor： Marios Savvides , Khalid Harun , Vijayakumar Bhagavatula , Sung Won Park , Yunghui Li
IPC: G06K9/62
CPC classification number: G06K9/00604 , G06K9/00288 , G06K9/00597 , G06T7/11 , G06T2207/10004 , G06T2207/30201
Abstract: A method and system for uniquely identifying a subject based on an iris image. After obtaining the iris image, the method produces a filtered iris image by applying filters to the iris image to enhance discriminative features of the iris image. The method analyzes an intensity value for pixels in the filtered iris image to produce an iris code that uniquely identifies the subject. The method also creates a segmented iris image by detecting an inner and outer boundary for an iris region in the iris image, and remapping pixels in the iris region, represented in a Cartesian coordinate system, to pixels in the segmented iris image, represented in a log-polar coordinate system, by employing a logarithm representation process. The method also creates a one-dimensional iris string from the iris image by unfolding the iris region by employing a spiral sampling method to obtain sample pixels in the iris region, wherein the sample pixels are the one-dimensional iris string.
Abstract translation: 一种用于基于虹膜图像唯一地识别对象的方法和系统。 获得虹膜图像后，该方法通过将滤光片应用于虹膜图像来产生滤光虹膜图像，以增强虹膜图像的辨别特征。 该方法分析过滤的虹膜图像中的像素的强度值，以产生唯一地识别被摄体的虹膜代码。 该方法还通过检测虹膜图像中的虹膜区域的内部和外部边界并且将以笛卡尔坐标系表示的虹膜区域中的像素重新映射到分割的虹膜图像中的像素，从而形成分割的虹膜图像，其以 对数极坐标系，采用对数表示过程。 该方法还通过使用螺旋取样方法来展开虹膜区域来获得来自虹膜图像的一维虹膜串，以获得虹膜区域中的样本像素，其中样本像素是一维虹膜串。
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公开(公告)号：US20050018925A1
公开(公告)日：2005-01-27
申请号：US10857072
申请日：2004-05-28
Applicant: Vijayakumar Bhagavatula , Marios Savvides
Inventor： Vijayakumar Bhagavatula , Marios Savvides
CPC classification number: G06K9/746
Abstract: A methodology is described to reduce the complexity of filters for face recognition by reducing the memory requirement to, for example, 2 bits/pixel in the frequency domain. Reduced-complexity correlations are achieved by having quantized MACE, UMACE, OTSDF, UOTSDF, MACH, and other filters, in conjunction with a quantized Fourier transform of the input image. This reduces complexity in comparison to the advanced correlation filters using full-phase correlation. However, the verification performance of the reduced complexity filters is comparable to that of full-complexity filters. A special case of using 4-phases to represent both the filter and training/test images in the Fourier domain leads to further reductions in the computational formulations. This also enables the storage and synthesis of filters in limited-memory and limited-computational power platforms such as PDAs, cell phones, etc. An online training algorithm implemented on a face verification system is described for synthesizing correlation filters to handle pose/scale variations. A way to perform efficient face localization is also discussed. Because of the rules governing abstracts, this abstract should not be used to construe the claims.
Abstract translation: 描述了一种方法，通过将存储器需求降低到例如频域中的2位/像素来减少用于人脸识别的滤波器的复杂度。 通过与量化的MACE，UMACE，OTSDF，UOTSDF，MACH和其他滤波器结合输入图像的量化傅立叶变换来实现降低复杂度的相关性。 与使用全相位相关的高级相关滤波器相比，这降低了复杂度。 然而，降低的复杂度滤波器的验证性能与全复杂度滤波器的验证性能相当。 在傅立叶域中使用4相代表滤波器和训练/测试图像的特殊情况导致计算公式的进一步减少。 这也使得能够在有限存储器和有限计算能力平台（例如PDA，蜂窝电话等）中存储和合成滤波器。描述了在面部验证系统上实现的在线训练算法，用于合成相关滤波器以处理姿态/比例变化 。 还讨论了执行有效面部定位的一种方法。 由于管理摘要的规则，本摘要不应用于解释索赔。
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9.发明申请Shadow Removal in an Image Captured by a Vehicle-Based Camera for Clear Path Detection 有权阴影去除由基于车辆的相机捕获的图像，用于清除路径检测公开(公告)号：US20120008021A1
公开(公告)日：2012-01-12
申请号：US12830525
申请日：2010-07-06
Applicant: Wende Zhang , Qi Wu , Vijayakumar Bhagavatula
Inventor： Wende Zhang , Qi Wu , Vijayakumar Bhagavatula
IPC: H04N9/64
CPC classification number: G06K9/00791 , G06K9/346 , G06T5/007 , G06T7/12 , G06T2207/10024 , G06T2207/30252
Abstract: A method for is provided for creating a shadow-reduced image from a captured image for distinguishing a clear path of travel. Each pixel of a captured input image is plotted according to a two dimensional logarithmic graph. A specific color set relating to an associated color value of a clear path. A linear illumination-invariant axis is determined as a function of the specific color set. An illumination direction for the linear illumination-invariant axis is determined. A log-chromaticity value of each plotted pixel of the specific color set is projected on the axis. Edges in the input image and the illumination-invariant image domain are identified. The identified edges of the input image are compared to identify edges in the illumination-invariant image domain. A determination is made whether a shadow edge is present in response to comparing the edges. A shadow-reduced image is generated for scene analysis by a vehicle vision-based system.
Abstract translation: 提供了一种用于从捕获的图像创建阴影缩小图像以区分清晰的行进路径的方法。 捕获的输入图像的每个像素根据二维对数图进行绘制。 与清晰路径相关联的颜色值相关的特定颜色集。 线性照明不变轴被确定为特定颜色集合的函数。 确定线性照明不变轴的照明方向。 特定颜色集合的每个绘制像素的对数色度值投影在轴上。 识别输入图像和照明不变图像域中的边缘。 将识别的输入图像的边缘进行比较，以识别照明不变图像域中的边缘。 确定响应于比较边缘是否存在阴影边缘。 通过基于车辆视觉的系统生成用于场景分析的阴影缩小图像。
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公开(公告)号：US07239682B2
公开(公告)日：2007-07-03
申请号：US10292641
申请日：2002-11-12
Applicant: Jingfeng Liu , Hongwei Song , Vijayakumar Bhagavatula
Inventor： Jingfeng Liu , Hongwei Song , Vijayakumar Bhagavatula
IPC: H04L7/00
CPC classification number: H04L7/0054 , G11B20/10037 , G11B20/1403 , H04L7/0062
Abstract: Tracking methods and systems for providing timing recovery of continuous signals is presented. According to one embodiment, the method includes: sampling a continuous signal; estimating a timing disturbance of the sampled continuous signal; generating a timing adjustment signal in accordance with the estimated timing disturbance; and adjusting a sampling signal associated with a sampling device based on the timing adjustment signal.
Abstract translation: 提出了提供连续信号定时恢复的跟踪方法和系统。 根据一个实施例，该方法包括：对连续信号进行采样; 估计采样连续信号的定时扰动; 根据估计的定时扰动产生定时调整信号; 以及基于所述定时调整信号调整与采样装置相关联的取样信号。
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