公开(公告)号：US08600227B2

公开(公告)日：2013-12-03

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

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

摘要： 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.

摘要翻译： 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：US09171196B2

公开(公告)日：2015-10-27

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： H04N7/18 ,  G06K9/00 ,  H04N5/33 ,  G06K9/20

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。

公开(公告)号：US09019358B2

公开(公告)日：2015-04-28

申请号：US13023310

申请日：2011-02-08

申请人： Lalit Keshav Mestha ,  Beilei Xu ,  Peter Paul

发明人： Lalit Keshav Mestha ,  Beilei Xu ,  Peter Paul

IPC分类号： H04N7/18 ,  G06K9/00

CPC分类号： G06K9/0063 ,  G06K2009/00644

摘要： What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.

摘要翻译： 所公开的是一种用于同时频谱分解的新型系统和方法，适用于分析场景和物体的图像对象识别和分类。 本系统使用每个调谐到特定波长的法布里 - 珀罗多滤波器网格同时捕获不同的频谱平面。 提供了一种用于对拍摄图像中的像素进行分类的方法。 本系统和方法在广泛的应用中发现其用途，例如在运输管理系统中的占用检测以及用于医疗管理的医学成像和诊​​断。 其中的教导进一步发现它们在其他应用中的用途，其中需要捕获场景的二维视图并将场景分解为其光谱带，使得可以适当地识别图像中的对象。

公开(公告)号：US08611608B2

公开(公告)日：2013-12-17

申请号：US13215401

申请日：2011-08-23

申请人： Zhigang Fan ,  Abu Saeed Islam ,  Peter Paul ,  Beilei Xu ,  Lalit Keshav Mestha

发明人： Zhigang Fan ,  Abu Saeed Islam ,  Peter Paul ,  Beilei Xu ,  Lalit Keshav Mestha

IPC分类号： G06K9/00

CPC分类号： G06K9/00234 ,  G06K9/00838 ,  G06K9/2018

摘要： What is disclosed is a system and method for determining whether a front seat in a motor vehicle is occupied based on seat pattern recognition. The present invention takes advantage of the observation that an unoccupied seat of a motor vehicle exhibits features which are distinguishable from an occupied seat. An unoccupied motor vehicle seat typically features long contiguous horizontal line segments and curve segments, and substantially uniform areas encompassed by these segments which are not present in an occupied seat. The present method provides a long horizontal edge test which uses location information within a defined window of the image, edge linking, softness of the edge, number of lines, line/curve fitting, and other techniques to locate horizontal edges in the image which define a seat, and a uniformity step which determines whether the area bounded by the horizontal edges is relatively uniform indicating an unoccupied seat.

摘要翻译： 公开的是基于座椅图案识别来确定机动车辆中的前排座椅是否被占用的系统和方法。 本发明利用了这样的观察结果：机动车辆的空闲座椅表现出与被占用座椅不同的特征。 未占用的机动车辆座椅通常具有长的连续水平线段和曲线段，以及由这些段所包围的基本均匀的区域，其不存在于被占用的座椅中。 本方法提供了一种长的水平边缘测试，它使用图像的定义窗口内的位置信息，边缘链接，边缘柔软度，线数，线/曲线拟合以及其他技术来定位图像中的水平边缘 一个座位和一个均匀性步骤，确定由水平边缘限定的区域是否相对均匀，表示空闲的座位。

公开(公告)号：US20120200682A1

公开(公告)日：2012-08-09

申请号：US13023310

申请日：2011-02-08

申请人： Lalit Keshav Mestha ,  Beilei Xu ,  Peter Paul

发明人： Lalit Keshav Mestha ,  Beilei Xu ,  Peter Paul

IPC分类号： H04N7/18 ,  G06K9/62

CPC分类号： G06K9/0063 ,  G06K2009/00644

摘要： What is disclosed is a novel system and method for simultaneous spectral decomposition suitable for image object identification and categorization for scenes and objects under analysis. The present system captures different spectral planes simultaneously using a Fabry-Perot multi-filter grid each tuned to a specific wavelength. A method for classifying pixels in the captured image is provided. The present system and method finds its uses in a wide array of applications such as, for example, occupancy detection in a transportation management system and in medical imaging and diagnosis for healthcare management. The teachings hereof further find their uses in other applications where there is a need to capture a two dimensional view of a scene and decompose the scene into its spectral bands such that objects in the image can be appropriately identified.

摘要翻译： 所公开的是一种用于同时频谱分解的新型系统和方法，适用于分析场景和物体的图像对象识别和分类。 本系统使用每个调谐到特定波长的法布里 - 珀罗多滤波器网格同时捕获不同的频谱平面。 提供了一种用于对拍摄图像中的像素进行分类的方法。 本系统和方法在广泛的应用中发现其用途，例如在运输管理系统中的占用检测以及用于医疗管理的医学成像和诊​​断。 其中的教导进一步发现它们在其他应用中的用途，其中需要捕获场景的二维视图并将场景分解为其光谱带，使得可以适当地识别图像中的对象。

公开(公告)号：US08818030B2

公开(公告)日：2014-08-26

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： G06K9/00

CPC分类号： G06K9/2018 ,  G06K9/6857 ,  G06K9/72 ,  G06K2209/09

摘要： 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： 一种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。

公开(公告)号：US08441680B2

公开(公告)日：2013-05-14

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。

公开(公告)号：US20120147194A1

公开(公告)日：2012-06-14

申请号：US12967775

申请日：2010-12-14

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 ,  G06K9/46

CPC分类号： H04N5/33 ,  G06K9/00369 ,  G06K9/00785 ,  G06K9/00805 ,  G06K9/00838 ,  G06K9/2018

摘要： What is disclosed is a novel system and method for determining the number of persons in an IR image obtained using an IR imaging system. The present method separates a human from the surrounding background via a set of particularly formed intensity ratios. Quantities derived from these ratios and threshold values are used to selectively classify whether a pixel in the IR image is from a human or from a non-human. Based upon the classification of the various pixels in the IR image, the number of persons is determined. Various embodiments are disclosed.

摘要翻译： 公开的是用于确定使用IR成像系统获得的IR图像中的人数的新颖系统和方法。 本方法通过一组特别形成的强度比将人与周围背景分离。 使用从这些比率和阈值导出的量来选择性地分类IR图像中的像素是来自人还是来自非人。 基于IR图像中的各种像素的分类，确定人数。 公开了各种实施例。

公开(公告)号：US07952759B2

公开(公告)日：2011-05-31

申请号：US12127473

申请日：2008-05-27

申请人： Yao Rong Wang ,  Alvaro Enrique Gil ,  Lalit Keshav Mestha ,  Martin S. Maltz

发明人： Yao Rong Wang ,  Alvaro Enrique Gil ,  Lalit Keshav Mestha ,  Martin S. Maltz

IPC分类号： H04N1/40 ,  G06F15/00

CPC分类号： H04N1/6022 ,  H04N1/603

摘要： This disclosure provides methods, apparatus and systems for generating a multidimensional printer profile for a color printer. Specifically, the disclosure provides a method to blend multiple GCR functions or strategies to produce a final GCR blended printer profile, for example a printer profile LUT.

摘要翻译： 本公开提供了用于生成彩色打印机的多维打印机配置文件的方法，装置和系统。 具体地，本公开提供了一种混合多个GCR功能或策略以产生最终的GCR混合打印机配置文件的方法，例如打印机配置文件LUT。

公开(公告)号：US20080137110A1

公开(公告)日：2008-06-12

申请号：US11636747

申请日：2006-12-11

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

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

IPC分类号： G06F15/00

CPC分类号： H04N1/6033 ,  H04N1/6097

摘要： Disclosed herein are optimal or near optimal algorithms implemented as software tools that will allow the user/machine to identify optimal media out of the job set automatically. There are at least two main process steps to the exemplary embodiment. The first step involves the off-line characterization of the printing/image rendering system that will be used to extract the principal basis vectors from the experimental data. The second step involves the run-time mode, in which the pre-characterized basis vectors are used in conjunction with an optimal algorithm that will identify the media for re-calibration/re-characterization from the group of media set that the customer is interested to print. The optimal algorithm performs the combinatorial search every time the customer wishes to select the media. Once the optimal media is selected, the customer or the machine can print color patches (which are also optimal set) and execute the rest of the processing to reconstruct the best color management LUTs.

摘要翻译： 这里公开的是作为软件工具实现的最佳或近似最优算法，其将允许用户/机器自动地识别作业集合中的最佳媒体。 至于示例性实施例的至少两个主要处理步骤。 第一步涉及打印/图像渲染系统的离线表征，该系统将用于从实验数据中提取主基础向量。 第二步涉及运行时模式，其中预特征基本向量与最佳算法结合使用，该算法将识别媒体用于从客户感兴趣的媒体集合进行重新校准/重新表征 打印。 每当客户希望选择媒体时，最优算法执行组合搜索。 一旦选择了最佳介质，客户或机器可以打印色块（也是最佳组合），并执行其余处理以重构最佳色彩管理LUT。