公开(公告)号：US20080291479A1

公开(公告)日：2008-11-27

申请号：US12127675

申请日：2008-05-27

Applicant: Lalit Keshav Mestha ,  Tonya L. Love ,  Ta-Chen Hsu

Inventor： Lalit Keshav Mestha ,  Tonya L. Love ,  Ta-Chen Hsu

IPC: G06F15/00

CPC classification number: G03G13/01 ,  H04N1/54 ,  H04N1/6058

Abstract: A color management system is provided for enabling imaging of selected colors called spot colors that document dynamically adjusting the normal printer gamut to achieve extended colors. Developed mass may be increased or decreased by changing set points such as a photoreceptor roll charge, development bias or raster output scanner laser power.

Abstract translation: 提供了一种颜色管理系统，用于使被称为专色的所选颜色成像，其记录动态调整正常打印机色域以实现扩展颜色。 通过改变诸如感光体辊电荷，显影偏压或光栅输出扫描仪激光功率的设定点，可以增加或减少显影质量。

公开(公告)号：US20080252931A1

公开(公告)日：2008-10-16

申请号：US11789091

申请日：2007-04-23

Applicant: Lalit Keshav Mestha ,  Yao Rong Wang ,  Zhigang Fan ,  Alvaro Enriqua Gill ,  Matthew F. Hoffman

Inventor： Lalit Keshav Mestha ,  Yao Rong Wang ,  Zhigang Fan ,  Alvaro Enriqua Gill ,  Matthew F. Hoffman

IPC: G06K15/00

CPC classification number: H04N1/6033 ,  H04N1/40006

Abstract: Disclosed is an image color management system and method for controlling an image output device. The method for controlling the image output device comprises generating an image output device profile LUT (look-up-table) characterizing the color profile of the image output device for a plurality of drift states associated with the image output device; generating a set of basis vectors representing the LUT; storing the set of basis vectors in an image output device controller; and generating an image output device active profile associated with a current drift state of the image output device to convert image color data for display or printing by the image output device, wherein the image output device active profile is generated from the set of basis vectors.

Abstract translation: 公开了一种用于控制图像输出装置的图像颜色管理系统和方法。 用于控制图像输出装置的方法包括：生成表征与图像输出装置相关联的多个漂移状态的图像输出装置的颜色特征图像​​的图像输出装置简档LUT（查找表）; 生成表示LUT的一组基矢量; 将所述一组基矢量存储在图像输出装置控制器中; 以及生成与所述图像输出设备的当前漂移状态相关联的图像输出设备活动轮廓，以转换由图像输出设备显示或打印的图像颜色数据，其中从所述一组基矢量生成所述图像输出设备活动简档。

公开(公告)号：US20080145125A1

公开(公告)日：2008-06-19

申请号：US11585463

申请日：2006-10-24

Applicant: Lalit Keshav Mestha ,  Ann Lerene McCarthy ,  Shriram V. Revankar

Inventor： Lalit Keshav Mestha ,  Ann Lerene McCarthy ,  Shriram V. Revankar

IPC: B41J11/44

CPC classification number: G06F3/1205 ,  G06F3/1208 ,  G06F3/1267 ,  G06F3/1285

Abstract: A method and system is provided for obtaining an archival model of a selected print job executed in a network imaging system comprised of a plurality of imaging engines. The print job is archived to include job data comprising the imaging information defining the desired job and the production status performance data of the particular engine at about the time of the executing of the job. The job data and the engine performance data are associated and archived for later retrieval for enhanced temporal and distributed consistency in a reprinting of the job.

Abstract translation: 提供了一种方法和系统，用于获得在由多个成像引擎构成的网络成像系统中执行的所选打印作业的归档模型。 打印作业被归档以包括在执行作业时在包括定义所需作业的成像信息和特定引擎的生产状态性能数据的作业数据。 作业数据和引擎性能数据相关联并存档以供以后检索，以便在重新打印作业时增强时间和分布的一致性。

公开(公告)号：US20080137150A1

公开(公告)日：2008-06-12

申请号：US11636841

申请日：2006-12-11

Applicant: Yao Rong Wang ,  Lalit Keshav Mestha ,  Zhigang Fan ,  Alvaro Enrique Gil

Inventor： Yao Rong Wang ,  Lalit Keshav Mestha ,  Zhigang Fan ,  Alvaro Enrique Gil

IPC: H04N1/00

CPC classification number: H04N1/00002 ,  H04N1/00015 ,  H04N1/00023 ,  H04N1/00031 ,  H04N1/00045 ,  H04N1/00053 ,  H04N1/00068 ,  H04N1/00087 ,  H04N1/0009

Abstract: The exemplary embodiment disclosed herein comprises several aspects of defining and using optimal color test patches for calibrating a printing system for various purposes (e.g., multi-media, gamut extension, drifting correction, etc.). One aspect is the creation and use of color patches where the color patches are selected optimally to result in minimum mean square error when those color patches are used to determine weights of a limited number of basis vectors that model the system (e.g., model the print engine response). A joint optimization technique is given as a method to select the optimal color test patches for calibration.

Abstract translation: 本文公开的示例性实施例包括限定和使用用于校准用于各种目的（例如，多媒体，色域扩展，漂移校正等）的打印系统的最佳颜色测试贴片的几个方面。 一个方面是色彩补丁的创建和使用，其中最佳地选择色块以产生最小均方误差，当使用这些色块来确定对系统进行建模的有限数量的基向量的权重（例如，模拟打印 发动机响应）。 给出联合优化技术作为选择用于校准的最佳颜色测试贴片的方法。

公开(公告)号：US20080130009A1

公开(公告)日：2008-06-05

申请号：US11606985

申请日：2006-12-01

Applicant: Yao Rong Wang ,  Lalit Keshav Mestha ,  Peter Michael Gulvin ,  Pinyen Lin

Inventor： Yao Rong Wang ,  Lalit Keshav Mestha ,  Peter Michael Gulvin ,  Pinyen Lin

IPC: G01B9/02

CPC classification number: G01N21/274 ,  G01J3/52 ,  G01J3/524 ,  G01N21/278

Abstract: A new calibration method for a spectrophotometer or a color sensor is provided using multiple color tiles with known reflectances. This procedure uses multiple reference standard tiles, in addition to, the standard white tile and substitutes a wavelength dependent adjustment constant instead of the dark noise reading. The constant is computed using measurements of multiple reference tiles with known reflectance spectra, and its purpose is to weight the sensor readings in order to avoid ill-posed scaling caused by physical limitations such as less than ideal light sources. A scaling factor may be calculated and also used to compute the reflectance of an arbitrary object. A device for carrying out the method is also provided.

Abstract translation: 使用具有已知反射率的多个彩色瓷砖提供了用于分光光度计或颜色传感器的新的校准方法。 该过程除了标准白色瓦片之外还使用多个参考标准瓦片，并替代波长相关的调整常数而不是暗噪声读数。 使用具有已知反射光谱的多个参考瓦片的测量来计算常数，并且其目的是为了避免由诸如不理想的光源的物理限制引起的不适当的缩放来加权传感器读数。 可以计算缩放因子并且还用于计算任意对象的反射率。 还提供了一种用于执行该方法的装置。

公开(公告)号：US09185353B2

公开(公告)日：2015-11-10

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 ,  G06T5/00

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：US09097614B2

公开(公告)日：2015-08-04

申请号：US13352683

申请日：2012-01-18

Applicant: George Cunha Cardoso ,  Lalit Keshav Mestha

Inventor： George Cunha Cardoso ,  Lalit Keshav Mestha

IPC: G01M15/10 ,  G01M17/007

CPC classification number: G01M15/102 ,  G01M17/007

Abstract: What is disclosed is a system and method for testing a motorized vehicle's exhaust emissions in a non-controlled emissions testing environment. In one embodiment, the present system comprises a toll collection structure having a sensor for obtaining information about a registered owner of a motor vehicle and about the motor vehicle itself, as the vehicle travels on a lane which passes through the structure. At least one emissions detector, which is fixed to the toll collection structure, performs an emissions test on the vehicle by analyzing an exhaust plume emitted by the vehicle. Speed/acceleration of the vehicle is also measured. In various embodiments hereof, the emissions detector comprises a combination of dispersive or non-dispersive infrared detector and a dispersive or non-dispersive ultraviolet detector. Emissions data collected is automatically compared to emissions standards and an authority is notified if that the vehicle does not meet those standards. Various embodiments are disclosed.

Abstract translation: 所公开的是在非受控排放测试环境中测试机动车辆废气排放的系统和方法。 在一个实施例中，当系统在通过结构的车道上行驶时，本系统包括具有用于获取关于机动车辆的注册所有者以及关于机动车辆本身的信息的传感器的收费结构。 固定在收费结构上的至少一个排放物检测器通过分析由车辆发出的排气羽流对车辆执行排放测试。 还测量车辆的速度/加速度。 在本发明的各种实施方案中，排放检测器包括分散或非分散红外检测器和分散或非分散紫外检测器的组合。 收集的排放数据将自动与排放标准进行比较，如果车辆不符合这些标准，则会通知当局。 公开了各种实施例。

公开(公告)号：US09007438B2

公开(公告)日：2015-04-14

申请号：US13476334

申请日：2012-05-21

Applicant: Lalit Keshav Mestha ,  Yonghui Zhao

Inventor： Lalit Keshav Mestha ,  Yonghui Zhao

IPC: H04N7/18 ,  G01S17/00 ,  G01S17/89 ,  G06K9/00 ,  G01B11/25 ,  H04N5/33

CPC classification number: G01S17/89 ,  G01B11/2513 ,  G01S17/003 ,  G06K9/00201 ,  G06K9/00838 ,  H04N5/33

Abstract: What is disclosed is a method which combines structured illumination in the SWIR wavelength range with the detection capabilities of NIR to generate a 3D image of a scene for accurate vehicle occupancy determination. In one embodiment, structured light is projected through a customized optical element comprising a patterned grid. Wavelengths of the received structured pattern are shifted to a CCD detectable range. The shifted light comprises an image in a structured pattern. The wavelength-shifted light is detected using an infrared detector operating in the NIR. For each pixel in the detected patterned image, an amount of distortion caused by 3D surface variation at this pixel location is determined. The distortion is converted to a depth value. The process repeats for all pixels. A 3D image is constructed using each pixel's depth value. The number of occupants in the vehicle is determined from the constructed 3D image.

Abstract translation: 所公开的是将SWIR波长范围内的结构照明与NIR的检测能力相结合的方法，以产生用于准确车辆占用确定的场景的3D图像。 在一个实施例中，结构化光通过包括图案化网格的定制光学元件投影。 接收到的结构化图案的波长被移动到CCD可检测范围。 移动的光包括结构化图案中的图像。 使用在NIR中操作的红外检测器来检测波长偏移的光。 对于检测到的图案化图像中的每个像素，确定由该像素位置处的3D表面变化引起的失真量。 失真转换为深度值。 该过程重复所有像素。 使用每个像素的深度值构建3D图像。 从构建的3D图像确定车辆中的乘客人数。

公开(公告)号：US08897522B2

公开(公告)日：2014-11-25

申请号：US13483992

申请日：2012-05-30

Applicant: Lalit Keshav Mestha ,  Beilei Xu ,  Edgar A. Bernal

Inventor： Lalit Keshav Mestha ,  Beilei Xu ,  Edgar A. Bernal

IPC: G06K9/00 ,  A61B5/02

CPC classification number: G06T7/0016 ,  A61B5/0077 ,  A61B5/02 ,  A61B5/021 ,  A61B5/02416 ,  A61B5/029 ,  A61B5/489 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/30076 ,  G06T2207/30101

Abstract: What is disclosed is a non-contact system and method for determining cardiac function parameters from a vascular pattern identified from RGB and IR video signals captured simultaneously of a region of exposed skin of a subject of interest. In one embodiment, a video of a region of exposed skin is captured using a video camera that captures color values for pixels over visible channels and an IR camera that measures pixel intensity values in wavelength ranges of interest. Pixel intensity values are processed to generate a vascular binary mask that indicates pixel locations corresponding to the vascular pathways. The IR images are registered with corresponding data from the camera's visible channels such that pixels that correspond to the vascular pattern can be isolated in each frame of the video of visible color data. Once processed, pixels associated with the isolated vascular patterns are analyzed to determine desired cardiac function parameters.

Abstract translation: 公开的是一种非接触式系统和方法，用于根据由目标受试者的暴露皮肤区域同时捕获的RGB和IR视频信号识别的血管图案来确定心脏功能参数。 在一个实施例中，使用捕获可见信道上的像素的颜色值的摄像机和测量感兴趣的波长范围内的像素强度值的IR照相机捕获暴露皮肤区域的视频。 处理像素强度值以产生指示对应于血管通路的像素位置的血管二进制掩模。 红外图像与来自相机的可视通道的相应数据一起登记，使得与血管图案相对应的像素可以在可见颜色数据的视频的每个帧中被隔离。 一旦处理，分析与分离的血管图案相关联的像素以确定期望的心脏功能参数。

公开(公告)号：US08854223B2

公开(公告)日：2014-10-07

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: G08B17/10

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。