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1. 发明申请

US20110149312A1 SPECTRAL MATCHING GUIDE FOR SPOT COLOR PRINT APPLICATIONS 有权
标题翻译：色彩打印应用的光谱匹配指南
公开(公告)号：US20110149312A1
公开(公告)日：2011-06-23
申请号：US12645859
申请日：2009-12-23
申请人： Lalit Keshav MESTHA , Yonghui ZHAO , Yao Rong WANG
发明人： Lalit Keshav MESTHA , Yonghui ZHAO , Yao Rong WANG
IPC分类号： H04N1/60 , G09G5/02 , G01J3/40
CPC分类号： G01J3/46 , G01J3/462 , G09G2340/06 , G09G2358/00 , G09G2380/00 , H04N1/6033 , H04N1/62
摘要： 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.
摘要翻译：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渲染作业时，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。

2. 发明申请

US20130235178A1 MULTI-BAND INFRARED CAMERA SYSTEM OPTIMIZED FOR SKIN DETECTION 有权
标题翻译：用于皮肤检测优化的多带红外相机系统
公开(公告)号：US20130235178A1
公开(公告)日：2013-09-12
申请号：US13416436
申请日：2012-03-09
申请人： Yao Rong WANG , Lalit Keshav MESTHA , Beilei XU , Raja BALA , Graham PENNINGTON
发明人： Yao Rong WANG , Lalit Keshav MESTHA , Beilei XU , Raja BALA , Graham PENNINGTON
IPC分类号： H04N5/33 , G06K9/62
CPC分类号： G06K9/00255 , G06K9/00838 , G06K9/2018 , H04N5/33
摘要： What is disclosed is a system and method for selecting the optimal wavelength ban combination for a multi-band infrared camera system which is optimized for skin detection. An objective function is constructed specifically for this application from classified performance and the algorithm generates wavelengths by maximizing the objective function. A specific wavelength band combination is selected which maximizes the objective function. Also disclosed is a 3-band and 4-band camera system with filters each having a transmittance of one of a combination of wavelength bands optimized to detect skin in the infrared band. The camera systems disclosed herein find their intended uses in a wide array of vehicle occupancy detection systems and applications. Various embodiments are disclosed.
摘要翻译：公开的是用于为针对皮肤检测而优化的多频带红外相机系统选择最佳波长禁止组合的系统和方法。目标函数由分类性能专门为此应用构建，算法通过最大化目标函数生成波长。选择使目标函数最大化的特定波段组合。还公开了一种具有滤波器的三频带和四频带相机系统，每个滤波器具有被优化以检测红外频带中的皮肤的波长带的组合之一的透射率。本文公开的相机系统在各种车辆占用检测系统和应用中找到其预期用途。公开了各种实施例。

3. 发明申请

US20130148904A1 POST-PROCESSING A MULTI-SPECTRAL IMAGE FOR ENHANCED OBJECT IDENTIFICATION 有权
标题翻译：后处理用于增强对象识别的多光谱图像
公开(公告)号：US20130148904A1
公开(公告)日：2013-06-13
申请号：US13324433
申请日：2011-12-13
申请人： Yao Rong WANG , Lalit Keshav MESTHA
发明人： Yao Rong WANG , Lalit Keshav MESTHA
IPC分类号： G06K9/62
CPC分类号： G06K9/72 , G06K9/4652
摘要： What is disclosed is a system and method for post-processing a multi-spectral image which has already been processed for pixel classification. A binary image is received which contains pixels that have been classified using a pixel classification method. Each pixel in the image has an associated intensity value and has a pixel value of 1 or 0 depending on whether the pixel has been classified as a material of interest or not. A block of size m×n is defined. Pixel values in a block are changed according to a threshold-based filtering criteria such that pixels in the same block all have the same binary value. The block is then shifted by k pixels and pixel processing repeats until all pixels have been processed. Once all blocks have been processed, contiguous pixels having the same binary value are grouped to form objects. In such a manner, pixel classification errors are reduced.
摘要翻译：所公开的是用于后处理已经被处理用于像素分类的多光谱图像的系统和方法。接收包含使用像素分类方法分类的像素的二进制图像。图像中的每个像素具有相关联的强度值，并且具有像素值为1或0的取决于像素是否被分类为感兴趣的材料。定义一个大小为m×n的块。块中的像素值根据基于阈值的滤波准则而改变，使得相同块中的像素都具有相同的二进制值。然后将块移动k个像素，并重复像素处理直到所有像素都被处理。一旦所有块都被处理，具有相同二进制值的连续像素被分组以形成对象。以这种方式，减少像素分类误差。

4. 发明申请

US20120262577A1 DETERMINING A NUMBER OF OBJECTS IN AN IR IMAGE 有权
标题翻译：确定IR图像中的一些对象
公开(公告)号：US20120262577A1
公开(公告)日：2012-10-18
申请号：US13086006
申请日：2011-04-13
申请人： Yao Rong WANG , Zhigang FAN , Lalit Keshav MESTHA
发明人： Yao Rong WANG , Zhigang FAN , Lalit Keshav MESTHA
IPC分类号： H04N5/33 , H04N7/18 , G06K9/00
CPC分类号： G06K9/00369 , G06K2009/4657 , G06T7/11 , G06T2207/10048 , G06T2207/30242
摘要： What is disclosed is a novel system and method for determining the number of objects in an IR image obtained using an IR imaging system. In one embodiment, a total of N intensity values are collected for each pixel in an IR image using a IR imaging system comprising an IR detection device and an IR Illuminator. Intensity values are retrieved from a database which have been estimated for a plurality of known materials, such as skin and hair. A classification is determined for each pixel in the IR image using either a best fitting method of a reflectance, or a correlation method. Upon classification, a total number of objects in the IR image can be determined. The present system and method finds its intended uses in of real world applications such as, determining the number of occupants in a vehicle traveling in a HOV/HOT lane.
摘要翻译：所公开的是用于确定使用IR成像系统获得的IR图像中的对象数量的新颖系统和方法。在一个实施例中，使用包括IR检测装置和IR照明器的IR成像系统对IR图像中的每个像素收集总共N个强度值。从已经为多种已知材料（例如皮肤和头发）估计的数据库检索强度值。使用反射率的最佳拟合方法或相关方法来确定IR图像中的每个像素的分类。在分类时，可以确定IR图像中的对象的总数。本系统和方法在现实应用中找到其预期用途，例如确定在HOV / HOT车道中行驶的车辆中的乘客人数。

5. 发明申请

US20110019212A1 BLACK POINT COMPENSATION IN A TIPP ARCHITECTURE 有权
标题翻译：烟囱建筑中的黑点补偿
公开(公告)号：US20110019212A1
公开(公告)日：2011-01-27
申请号：US12507515
申请日：2009-07-22
申请人： Yao Rong WANG , Lalit Keshav MESTHA
发明人： Yao Rong WANG , Lalit Keshav MESTHA
IPC分类号： H04N1/60
CPC分类号： H04N1/407
摘要： A method for calibrating an image printing system that includes a plurality of parallel printers, where each of the printers has a minimum luminance value. The method includes determining a minimum luminance value profile for the plurality of printers in the image printing system based on the minimum luminance values of each of the printers in the image printing system, determining a black point compensation function based on the determined minimum luminance value profile, adjusting luminance values for input image data using the determined black point compensation function, and rendering, with the parallel printers, images on substrates based on the input image data with adjusted luminance levels.
摘要翻译：一种用于校准包括多个平行打印机的图像打印系统的方法，其中每个打印机具有最小的亮度值。该方法包括基于图像打印系统中的每个打印机的最小亮度值确定图像打印系统中的多个打印机的最小亮度值分布，基于所确定的最小亮度值分布来确定黑点补偿功能使用确定的黑点补偿功能调整输入图像数据的亮度值，并且使用并行打印机，基于具有调整的亮度水平的输入图像数据来渲染基板上的图像。

6. 发明申请

US20130077958A1 MULTI-FILTER ARRAY FOR A MULTI-RESOLUTION, MULTI-SPECTRAL CAMERA 有权
标题翻译：用于多分辨率，多光谱相机的多滤镜阵列
公开(公告)号：US20130077958A1
公开(公告)日：2013-03-28
申请号：US13239642
申请日：2011-09-22
申请人： Beilei XU , Lalit Keshav MESTHA , Yao Rong WANG , Peter PAUL
发明人： Beilei XU , Lalit Keshav MESTHA , Yao Rong WANG , Peter PAUL
IPC分类号： G03B11/00 , G02B26/00
CPC分类号： G06K9/209 , G01J3/2823 , G01J3/36 , G02B5/201 , G02B5/208 , G03B11/00 , G06K9/00255 , G06K2009/00932
摘要： 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.
摘要翻译：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。

7. 发明申请

US20130148847A1 POST-PROCESSING A MULTI-SPECTRAL IMAGE FOR ENHANCED OBJECT IDENTIFICATION 有权
标题翻译：后处理用于增强对象识别的多光谱图像
公开(公告)号：US20130148847A1
公开(公告)日：2013-06-13
申请号：US13324368
申请日：2011-12-13
申请人： Yao Rong WANG , Lalit Keshav MESTHA
发明人： Yao Rong WANG , Lalit Keshav MESTHA
IPC分类号： G06K9/62
CPC分类号： G06K9/2018 , G06K9/6857 , G06K9/72 , G06K2209/09
摘要： What is disclosed is a system and method for post-processing a multi-spectral image which has already been processed for pixel classification. A binary image is received which contains pixels that have been classified using a pixel classification method. Each pixel in the image has an associated intensity value and has a pixel value of 1 or 0 depending on whether the pixel has been classified as a material of interest or not. The image is divided into a plurality of blocks of pixels. On a block by block basis, pixel values in a block are changed according to a threshold-based filtering criteria such that pixels in the same block all have the same binary value. Once all the blocks have been processed, contiguous pixels having the same binary value are grouped to form separate objects. In such a manner, pixel classification errors in the post-processed binary image can be reduced.
摘要翻译：所公开的是用于后处理已经被处理用于像素分类的多光谱图像的系统和方法。接收包含使用像素分类方法分类的像素的二进制图像。图像中的每个像素具有相关联的强度值，并且具有像素值为1或0的取决于像素是否被分类为感兴趣的材料。该图像被分成多个像素块。在逐块的基础上，根据基于阈值的滤波准则改变块中的像素值，使得相同块中的像素都具有相同的二进制值。一旦所有块被处理，具有相同二进制值的连续像素被分组以形成分离的对象。以这种方式，可以减少后处理二进制图像中的像素分类误差。

8. 发明申请

US20090185230A1 METHOD AND APPARATUS FOR OPTIMUM BLACK COMPONENT DETERMINATION FOR GRAY COMPONENT REPLACEMENT 有权
标题翻译：用于灰分组分替换的最佳黑色成分测定方法和装置
公开(公告)号：US20090185230A1
公开(公告)日：2009-07-23
申请号：US12017746
申请日：2008-01-22
申请人： Lalit Keshav MESTHA , Yao Rong WANG , Alvaro Enrique GIL , Martin S. MALTZ , Raja BALA
发明人： Lalit Keshav MESTHA , Yao Rong WANG , Alvaro Enrique GIL , Martin S. MALTZ , Raja BALA
IPC分类号： H04N1/60 , G06K15/00
CPC分类号： H04N1/6025 , G06K15/02 , G06K15/1822 , G06K15/1825 , G06K2215/0094
摘要： A multi-dimensional printer profile look-up table for color correction is generated. First, an initial estimate for a black (K) component in a four-color color space for received color signals in the device independent color space is generated by using a three-dimensional parametric function. Next, initial estimates for the three non-black color components of the four-color color space are generated from the generated initial estimate for the black (K) component and the received color signals. Then, a printer profile including a map that maps the device independent color space to the four-color color space is generated using the generated initial estimates for the black (K) and the three non-black color components in the four-color color space.
摘要翻译：产生用于颜色校正的多维打印机轮廓查找表。首先，通过使用三维参数函数来生成用于装置独立色彩空间中的接收彩色信号的四色彩色空间中的黑色（K）分量的初始估计。接下来，从生成的黑（K）分量和接收到的颜色信号的初始估计中产生四色颜色空间的三个非黑色分量的初始估计。然后，使用生成的四色颜色空间中的黑色（K）和三种非黑色分量的初始估计来生成包括将设备独立颜色空间映射到四色颜色空间的地图的打印机配置文件。

9. 发明申请

US20110026053A1 ADAPTIVE ILLUMINATION INDEPENDENT MATCHING OF OUT OF GAMUT SPOT COLORS USING VARIOUS GAMUT MAPPING TECHNIQUES 有权
标题翻译：使用各种游戏绘图技术的自由照明独立匹配游戏点颜色
公开(公告)号：US20110026053A1
公开(公告)日：2011-02-03
申请号：US12533542
申请日：2009-07-31
申请人： Alvaro E. GIL , Yao Rong WANG , Lalit Keshav MESTHA
发明人： Alvaro E. GIL , Yao Rong WANG , Lalit Keshav MESTHA
IPC分类号： G06F15/00 , G06K9/00
CPC分类号： H04N1/54 , H04N1/6052 , H04N1/6088
摘要： A methodology is disclosed to achieve adaptive illumination independent matching of out-of-gamut spot colors. In one embodiment, the methodology includes an iterative process to determine a variety device specific recipes for out-of-gamut spot colors across different illumination spectra and gamut mapping techniques, and then automatically choosing and/or recommending the optimal recipe and gamut mapping technique that provides the lowest color dispersion across a variety of illuminants under consideration.
摘要翻译：公开了一种用于实现色域外色彩的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，以确定跨不同照明光谱和色域映射技术的色域外色彩的特定配方，然后自动选择和/或推荐最佳配方和色域映射技术，在考虑的各种光源下提供最低的色散。

10. 发明申请

US20130307932A1 3D IMAGING USING STRUCTURED LIGHT FOR ACCURATE VEHICLE OCCUPANCY DETECTION 有权
标题翻译：使用结构光进行三维成像以实现精确的车辆检测
公开(公告)号：US20130307932A1
公开(公告)日：2013-11-21
申请号：US13476334
申请日：2012-05-21
申请人： Lalit Keshav MESTHA , Yonghui ZHAO
发明人： Lalit Keshav MESTHA , Yonghui ZHAO
IPC分类号： H04N13/02 , H04N5/225 , H04N5/33
CPC分类号： G01S17/89 , G01B11/2513 , G01S17/003 , G06K9/00201 , G06K9/00838 , H04N5/33
摘要： 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.
摘要翻译：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。

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