公开(公告)号：US08600227B2

公开(公告)日：2013-12-03

申请号：US13239642

申请日：2011-09-22

Applicant: Beilei Xu ,  Lalit Keshav Mestha ,  Yao Rong Wang ,  Peter Paul

Inventor： Beilei Xu ,  Lalit Keshav Mestha ,  Yao Rong Wang ,  Peter Paul

IPC: G03B11/00

CPC classification number: G06K9/209 ,  G01J3/2823 ,  G01J3/36 ,  G02B5/201 ,  G02B5/208 ,  G03B11/00 ,  G06K9/00255 ,  G06K2009/00932

Abstract: A filter array for a multi-resolution multi-spectral camera system is described which not only captures 2D images at multiple wavelength bands simultaneously but also at a spatial resolution that meets the demand for spatial feature extraction. The present system optimizes filter bands that provide high image contrast at the highest possible resolution to enable spatial feature extraction and other wavelength bands at lower resolution to achieve maximum number of wavelength bands (e.g. spectral resolution) for multi-spectral analysis. After determining the required spatial resolution and number of wavelength bands for spectral analysis, multiple filters are arranged in a geometric pattern with each filter being designed to have specified wavelength and spatial resolution. Physical sizes of filters differ within each filter group. This maximizes the detector usage while optimizing the trade-off between spatial resolution and spectral resolution. Filter gaps are fixed or tuned to wavelengths of interest.

Abstract translation: 描述了用于多分辨率多光谱照相机系统的滤光器阵列，其不仅在多个波长带同时捕获2D图像，而且以满足空间特征提取需求的空间分辨率捕获。 本系统优化以最高可能分辨率提供高图像对比度的滤波器频带，以便能够以较低分辨率进行空间特征提取和其他波长带，以实现用于多光谱分析的最大数量的波段（例如光谱分辨率）。 在确定所需的空间分辨率和用于频谱分析的波长带数之后，多个滤波器以几何图形排列，每个滤波器被设计为具有指定的波长和空间分辨率。 每个过滤器组中过滤器的物理尺寸不同。 这最大限度地提高了检测器的使用率，同时优化了空间分辨率和光谱分辨率之间的折衷。 滤波器间隙固定或调谐到感兴趣的波长。

公开(公告)号：US20130236073A1

公开(公告)日：2013-09-12

申请号：US13417979

申请日：2012-03-12

Applicant: Nischal M. PIRATLA ,  Lalit Keshav MESTHA ,  Meera SAMPATH

Inventor： Nischal M. PIRATLA ,  Lalit Keshav MESTHA ,  Meera SAMPATH

IPC: G06K9/46 ,  G06F3/048

CPC classification number: G06K9/00979

Abstract: What is disclosed is a web-based system which comprises, in part, video analysis modules for performing different types of analysis services on a video, and a server in network communication with a user's computing device. A user selects one or more menu options displayed on a webpage. Each of the menu options is associated with a respective video analysis available to the user. The user makes their election and, within the same session, uploads to the server a video desired to be analyzed with respect to each of the video analysis services selected by the user. Once the server has obtained the user's selection(s) and has received the uploaded video, the server communicates the video to each video analysis module associated with each of the respective analysis services. Upon each completion of the video analysis, the results are communicated back to the user. Various embodiments are disclosed.

Abstract translation: 公开的是基于网络的系统，其部分地包括用于在视频上执行不同类型的分析服务的视频分析模块，以及与用户的计算设备进行网络通信的服务器。 用户选择网页上显示的一个或多个菜单选项。 每个菜单选项与用户可用的各自的视频分析相关联。 用户进行选举，并且在同一会话内，向服务器上传相对于由用户选择的每个视频分析服务而要分析的视频。 一旦服务器获得用户的选择并已经接收到上传的视频，服务器将该视频传送到与每个相应的分析服务相关联的每个视频分析模块。 在每次完成视频分析时，将结果传回给用户。 公开了各种实施例。

公开(公告)号：US20130218028A1

公开(公告)日：2013-08-22

申请号：US13401286

申请日：2012-02-21

Applicant: Lalit Keshav MESTHA

Inventor： Lalit Keshav MESTHA

IPC: A61B5/024 ,  A61B6/00

CPC classification number: G06T7/0012 ,  A61B5/0075 ,  A61B5/02125 ,  G06T2207/30076 ,  G06T2207/30104

Abstract: What is disclosed is a system and method for determining an arterial pulse transit time of a subject of interest in a remote sensing environment. A video imaging system is used to capture a time varying source images of a proximal and distal region of a subject intended to be analyzed for arterial pulse transit time. A time series signal for each of the proximal and distal regions is extracted from the source images and a phase of each of the extracted time series signals is computed. A difference is then computed between these phases. This phase difference is a monotonic function of frequencies in the signals. From the monotonic function, an arterial pulse transit time of the subject is extracted. The subject's arterial pulse transit time is then communicated to a computer system. The computer system determines blood pressure, blood vessel blockage, blood flow velocity, or a peripheral neuropathy.

Abstract translation: 公开的是用于确定遥感环境中感兴趣的对象的动脉脉冲传播时间的系统和方法。 视频成像系统用于捕获旨在分析动脉脉冲传播时间的受试者的近端和远端区域的时变源图像。 从源图像提取每个近端和远端区域的时间序列信号，并且计算每个提取的时间序列信号的相位。 然后在这些阶段之间计算差异。 该相位差是信号中频率的单调函数。 从单调功能，提取对象的动脉脉冲传播时间。 然后将受试者的动脉脉冲传播时间传达到计算机系统。 计算机系统确定血压，血管阻塞，血流速度或周围神经病变。

公开(公告)号：US20130215244A1

公开(公告)日：2013-08-22

申请号：US13401207

申请日：2012-02-21

Applicant: Lalit Keshav MESTHA ,  Beilei Xu

Inventor： Lalit Keshav MESTHA ,  Beilei Xu

IPC: H04N7/18

CPC classification number: H04N7/18 ,  G06T5/002 ,  G06T5/003 ,  G06T7/194 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20056 ,  G06T2207/20076 ,  G06T2207/30088

Abstract: What is disclosed is a system and method for automatically removing undesirable periodic or random background noise from heart rate measurement signals obtained from a video camera, ambient illuminator and other unknown electromagnetic sources to improve the overall reliability of biomedical measurements. In one embodiment, a time varying video image acquired over at least one imaging channel of a subject of interest is received. The video images are then segmented into a first region comprising a localized area where plethysmographic signals of the subject can be registered and a second region comprising a localized area of the environment where the plethysmographic signals cannot be registered. Both of the regions are exposed to the same environmental factors. The segmented video signals are pre-processed and the processed signals are subtracted from each other to generate an environmentally compensated signal. The environmentally compensated signal is then communicated to a computer system.

Abstract translation: 所公开的是用于从由摄像机，环境照明器和其他未知电磁源获得的心率测量信号中自动去除不期望的周期性或随机背景噪声的系统和方法，以提高生物医学测量的整体可靠性。 在一个实施例中，接收在感兴趣对象的至少一个成像通道上获取的时变视频图像。 然后将视频图像分割成包括可以登记对象的体积描记信号的局部区域的第一区域，以及包括体积描记信号不能被登记的环境的局部区域的第二区域。 这两个地区都面临着相同的环境因素。 分段视频信号被预处理，并且处理的信号彼此相减以产生环境补偿信号。 然后将经环境补偿的信号传送到计算机系统。

公开(公告)号：US20130181836A1

公开(公告)日：2013-07-18

申请号：US13419856

申请日：2012-03-14

Applicant: George Cunha CARDOSO ,  Lalit Keshav MESTHA

Inventor： George Cunha CARDOSO ,  Lalit Keshav MESTHA

IPC: G06K9/62 ,  G08B21/00 ,  H04N7/18

CPC classification number: G01M15/108

Abstract: What is disclosed is a system and method for image-based determination of concentration of CO and CO2 in a vehicle's exhaust gas in an emissions testing environment. In one embodiment, the present method involves receiving an IR image of the exhaust plume of a motor vehicle intended to be tested for CO and CO2 concentrations. The IR image has been captured using a mid-wave infrared camera with at least one optical filter tuned to the infrared absorption band of CO and CO2. The images are pre-processed to isolate pixels which contain the exhaust plume. The intensity values of pixels in those isolated regions are normalized and concentrations of CO and CO2 are determined via a calibration curve which relates pixel intensities to concentrations. The concentrations are compared to an emissions standard set for the vehicle to determine whether the vehicle is a gross polluter.

Abstract translation: 所公开的是用于在排放测试环境中基于图像确定车辆废气中CO和CO 2浓度的系统和方法。 在一个实施例中，本方法包括接收旨在被测试CO和CO 2浓度的机动车辆的排气羽流的IR图像。 使用中波红外摄像机捕获IR图像，其中至少一个光滤波器被调谐到CO和CO 2的红外吸收带。 图像被预处理以分离包含排气羽流的像素。 将这些孤立区域中的像素的强度值归一化，并通过将像素强度与浓度相关联的校准曲线来确定CO和CO 2的浓度。 将浓度与车辆的排放标准进行比较，以确定车辆是否是总污染物。

公开(公告)号：US08456700B2

公开(公告)日：2013-06-04

申请号：US12645859

申请日：2009-12-23

Applicant: Lalit Keshav Mestha ,  Yonghui Zhao ,  Yao Rong Wang

Inventor： Lalit Keshav Mestha ,  Yonghui Zhao ,  Yao Rong Wang

IPC: G06F15/00 ,  H04N1/40 ,  G06K9/00

CPC classification number: G01J3/46 ,  G01J3/462 ,  G09G2340/06 ,  G09G2358/00 ,  G09G2380/00 ,  H04N1/6033 ,  H04N1/62

Abstract: What is disclosed is a novel system and method for generating a spectral matching guide for spot color print applications. Spectral matching values are determined for spot colors obtained from a library of spot colors. A spectral matching guide is created from the spot colors and their respective spectral matching values in a manner more fully disclosed herein. Thereafter, when a user desires to render a job in a particular spot color, the associated spectral matching value for that spot color can be obtained from the spectral matching guide. In other embodiments, recommendations in the form of a suggested printer to use, a media type, a halftone screen, and other meaningful assistance can be provided for selection of spot colors for a given print/copy job that are less sensitive to varying illuminations. The present spectral matching guide provides meaningful extensions in spectral color reproduction in print/copy job environments.

Abstract translation: 公开的是用于产生专色印刷应用的光谱匹配指南的新型系统和方法。 确定从专色库获得的专色的光谱匹配值。 以这种更全面地公开的方式，从专色和它们各自的光谱匹配值产生光谱匹配指南。 此后，当用户期望以特定专色呈现作品时，可以从光谱匹配指南获得该专色的相关的光谱匹配值。 在其他实施例中，可以提供建议使用的打印机的形式的建议，介质类型，半色调屏幕和其他有意义的帮助，用于对对变化的照明不太敏感的给定打印/复印作业的专色的选择。 本光谱匹配指南为打印/复印作业环境中的色彩再现提供了有意义的扩展。

公开(公告)号：US08456697B2

公开(公告)日：2013-06-04

申请号：US12504332

申请日：2009-07-16

Applicant: Lalit Keshav Mestha ,  Yao Rong Wang ,  Alvaro Gil

Inventor： Lalit Keshav Mestha ,  Yao Rong Wang ,  Alvaro Gil

IPC: G06F15/00 ,  H04N1/40 ,  G06K9/00

CPC classification number: H04N1/60

Abstract: A methodology is disclosed to achieve adaptive illumination independent matching of spot colors. In one embodiment, the methodology includes an iterative process to determine a variety device specific recipes for spot colors across different illumination spectra, and then automatically choosing and/or recommending the optimal recipe that provides the lowest color dispersion across a variety of illuminants under consideration. This approach may be used with a variety of gamut mapping techniques. According to a further embodiment, the methodology may be used with a ray-based gamut mapping method.

Abstract translation: 公开了一种实现专色自适应照明独立匹配的方法。 在一个实施例中，该方法包括迭代过程以确定不同照明光谱上的专色的特定配方，然后自动选择和/或推荐在所考虑的各种发光体下提供最低色散的最佳配方。 该方法可以与各种色域映射技术一起使用。 根据另一实施例，该方法可以与基于射线的色域映射方法一起使用。

公开(公告)号：US20130079649A1

公开(公告)日：2013-03-28

申请号：US13247683

申请日：2011-09-28

Applicant: Lalit Keshav MESTHA ,  Survi KYAL ,  Gill Rafael TSOURI ,  Sohail A. DIANAT ,  Beilei XU

Inventor： Lalit Keshav MESTHA ,  Survi KYAL ,  Gill Rafael TSOURI ,  Sohail A. DIANAT ,  Beilei XU

IPC: A61B5/02

CPC classification number: A61B5/0022 ,  A61B5/0077 ,  A61B5/024 ,  A61B2576/00 ,  G01J5/026 ,  G01J5/089 ,  G06F19/00 ,  G16H40/67

Abstract: What is disclosed is a system and method for recovering a patient's cardiac pulse rate from a sequence of video images recording of that patient. In one embodiment, a reference signal of a particular frequency is generated at predetermined frequency intervals and a constrained source separation is performed on the source data to obtain an estimation of the source signal intended to be recovered. The reference signal is updated and constrained source separation is again performed. These operations are repeated for all frequencies of the reference signal. The frequency at which a minimum error is achieved is determined to be the subject's recovered cardiac pulse frequency. In such a manner, the source signal is extracted and recovered reliably from captured multi-channel RGB signals or multispectral signals. The teachings hereof find their uses in a variety of medical solutions including various military, security and telemedicine applications. Various embodiments are disclosed.

Abstract translation: 所公开的是用于从记录该患者的视频图像的序列中恢复患者心脏脉搏率的系统和方法。 在一个实施例中，以预定的频率间隔产生特定频率的参考信号，并且对源数据执行受限的源分离以获得旨在被恢复的源信号的估计。 更新参考信号并再次执行约束源分离。 对参考信号的所有频率重复这些操作。 实现最小误差的频率被确定为受试者的恢复心脏脉搏频率。 以这种方式，从捕获的多通道RGB信号或多光谱信号可靠地提取和恢复源信号。 其教学方法可用于各种医疗解决方案，包括各种军事，安全和远程医疗应用。 公开了各种实施例。

公开(公告)号：US20130077958A1

公开(公告)日：2013-03-28

申请号：US13239642

申请日：2011-09-22

Applicant: Beilei XU ,  Lalit Keshav MESTHA ,  Yao Rong WANG ,  Peter PAUL

Inventor： Beilei XU ,  Lalit Keshav MESTHA ,  Yao Rong WANG ,  Peter PAUL

IPC: G03B11/00 ,  G02B26/00

CPC classification number: G06K9/209 ,  G01J3/2823 ,  G01J3/36 ,  G02B5/201 ,  G02B5/208 ,  G03B11/00 ,  G06K9/00255 ,  G06K2009/00932

Abstract: What is disclosed is a filter array for a multi-resolution multi-spectral camera system which not only captures 2D images at multiple wavelength bands simultaneously but also at a spatial resolution that meets the demand for spatial feature extraction. The present system optimizes filter bands that provide high image contrast at the highest possible resolution to enable spatial feature extraction and other wavelength bands at lower resolution to achieve maximum number of wavelength bands (e.g. spectral resolution) for multi-spectral analysis. After determining the required spatial resolution and number of wavelength bands for spectral analysis, multiple filters are arranged in a geometric pattern with each filter being designed to have specified wavelength and spatial resolution. Physical sizes of filters differ within each filter group. This maximizes the detector usage while optimizing the trade-off between spatial resolution and spectral resolution. Filter gaps are fixed or tuned to wavelengths of interest.

Abstract translation: 公开的是用于多分辨率多光谱照相机系统的滤光器阵列，其不仅同时捕获多个波长带处的2D图像，而且以满足空间特征提取的需求的空间分辨率。 本系统优化以最高可能分辨率提供高图像对比度的滤波器频带，以便能够以较低分辨率进行空间特征提取和其他波长带，以实现用于多光谱分析的最大数量的波段（例如光谱分辨率）。 在确定所需的空间分辨率和用于频谱分析的波长带数之后，多个滤波器以几何图形排列，每个滤波器被设计为具有指定的波长和空间分辨率。 每个过滤器组中过滤器的物理尺寸不同。 这最大限度地提高了检测器的使用率，同时优化了空间分辨率和光谱分辨率之间的折衷。 滤波器间隙固定或调谐到感兴趣的波长。

公开(公告)号：US20130016284A1

公开(公告)日：2013-01-17

申请号：US13180895

申请日：2011-07-12

Applicant: Lalit Keshav MESTHA ,  Alvaro Enrique GIL

Inventor： Lalit Keshav MESTHA ,  Alvaro Enrique GIL

IPC: H04N5/14

CPC classification number: G06T5/50 ,  G06T2207/10036

Abstract: What is disclosed is a system and method for image reconstruction using a compressed sensing framework to increase the number of wavelength bands in hyperspectral video systems. The present method utilizes a restricted representation matrix and sampling matrix to reconstruct bands to a very large number without losing information content. Reference multi-band image vectors are created and those vectors are processed in a block-wise form to obtain custom orthonormal representation matrices. A sampling matrix is also constructed offline in the factory. The compressed sensing protocol is applied using a l1-norm optimization (or relaxation) algorithm to reconstruct large number of wavelength bands with each band being interspersed within the band of interest that are not imaged. The teaching hereof leads to very large number of bands without increasing the hardware cost.

Abstract translation: 所公开的是使用压缩感测框架来增加高光谱视频系统中的波段数目的图像重构的系统和方法。 本方法利用受限表示矩阵和采样矩阵将频带重构成非常大的数目，而不会丢失信息内容。 创建参考多频带图像矢量并且以块形式处理这些矢量以获得自定义正交表示矩阵。 采样矩阵也在工厂内离线构建。 使用l1范数优化（或松弛）算法应用压缩感测协议来重构大量波长带，其中每个频带分散在不成像的感兴趣的频带内。 这里的教学导致非常多的频带，而不增加硬件成本。