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    • 32. 发明申请
    • 3D IMAGING USING STRUCTURED LIGHT FOR ACCURATE VEHICLE OCCUPANCY DETECTION
    • 使用结构光进行三维成像以实现精确的车辆检测
    • US20130307932A1
    • 2013-11-21
    • US13476334
    • 2012-05-21
    • Lalit Keshav MESTHAYonghui ZHAO
    • Lalit Keshav MESTHAYonghui ZHAO
    • H04N13/02H04N5/225H04N5/33
    • G01S17/89G01B11/2513G01S17/003G06K9/00201G06K9/00838H04N5/33
    • 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.
    • 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。
    • 33. 发明申请
    • ESTIMATING A VISIBLE VECTOR REPRESENTATION FOR PIXELS IN AN INFRARED IMAGE
    • 估计一个可见的矢量代表像素在红外图像
    • US20130201342A1
    • 2013-08-08
    • US13364835
    • 2012-02-02
    • Sandra SKAFFRaja BALALalit Keshav MESTHABeilei XU
    • Sandra SKAFFRaja BALALalit Keshav MESTHABeilei XU
    • H04N5/33
    • H04N5/33G06T7/90G06T2207/10048H04N5/332H04N9/045H04N9/43
    • What is disclosed is a system and method for estimating color for pixels in an infrared image. In one embodiment, an infrared image is received which has been captured using a N-band infrared imaging system comprising a multi-spectral camera or a hyperspectral camera. The IR image is composed of an array of pixels with N intensity values having been collected for each pixel in the image. Then, for each pixel of interest, a search metric is used to search a database of vector samples to identify a visible-IR set which is closest to the intensity values of the IR band vector collected for the pixel. A visible vector representation is then estimated for the pixel based upon the visible portion corresponding to the closest visible-IR set. Thereafter, color coordinates for this pixel are computed from the visible vector. The method repeats for all pixels of interest in the IR image.
    • 公开的是用于估计红外图像中的像素的颜色的系统和方法。 在一个实施例中,接收使用包括多光谱相机或高光谱相机的N波段红外成像系统捕获的红外图像。 IR图像由对图像中的每个像素收集的具有N个强度值的像素阵列组成。 然后,对于感兴趣的每个像素,使用搜索度量来搜索向量样本的数据库,以识别最接近为该像素收集的IR带矢量的强度值的可见IR集合。 然后基于对应于最接近的可见IR集的可见部分,针对像素估计可见矢量表示。 此后,从可见矢量计算该像素的颜色坐标。 该方法针对IR图像中所有感兴趣的像素重复。
    • 34. 发明申请
    • POST-PROCESSING A MULTI-SPECTRAL IMAGE FOR ENHANCED OBJECT IDENTIFICATION
    • 后处理用于增强对象识别的多光谱图像
    • US20130148847A1
    • 2013-06-13
    • US13324368
    • 2011-12-13
    • Yao Rong WANGLalit Keshav MESTHA
    • Yao Rong WANGLalit Keshav MESTHA
    • G06K9/62
    • G06K9/2018G06K9/6857G06K9/72G06K2209/09
    • 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.
    • 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。
    • 35. 发明申请
    • FRONT SEAT VEHICLE OCCUPANCY DETECTION VIA SEAT PATTERN RECOGNITION
    • 通过座椅模式识别的前座椅车辆检测
    • US20130051625A1
    • 2013-02-28
    • US13215401
    • 2011-08-23
    • Zhigang FANAbu Saeed ISLAMPeter PAULBeilei XULalit Keshav MESTHA
    • Zhigang FANAbu Saeed ISLAMPeter PAULBeilei XULalit Keshav MESTHA
    • G06K9/00
    • G06K9/00234G06K9/00838G06K9/2018
    • 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.
    • 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。
    • 36. 发明申请
    • COMPENSATING FOR SPECTRAL DIFFERENCES BETWEEN TWO SPECTROPHOTOMETERS FOR ACCURATE COLOR MANAGEMENT
    • 对两种光谱仪之间的光谱差异进行精确色彩管理的补偿
    • US20120296595A1
    • 2012-11-22
    • US13108544
    • 2011-05-16
    • Edul N. DALALLalit Keshav MESTHAWencheng WU
    • Edul N. DALALLalit Keshav MESTHAWencheng WU
    • G06F19/00
    • G01J3/501G01J3/524H04N1/6052
    • What is disclosed is a system and method for compensating for differences between two spectrophotometers for accurate color control in a color management system. In one example embodiment, at least one print is generated on the digital color printing system incorporating an inline spectral reflectance measurement sensor. A spectral reflectance of the print is measured using an inline spectral reflectance measurement sensor. Spectral reflectance of the print is measured using a selected offline spectral reflectance measurement sensor. From the measurements, a sensor correction model is determined which transforms spectral measurements obtained from the inline sensor into spectra approximating what the offline sensor would measure. The sensor correction model is used to perform color management on the digital color printing system such that print output of the digital color printing system is accurate when measured on the offline sensor.
    • 公开的是用于补偿两种分光光度计之间在色彩管理系统中精确色彩控制的差异的系统和方法。 在一个示例实施例中,在包含内联光谱反射测量传感器的数字彩色打印系统上产生至少一个打印。 使用在线光谱反射率测量传感器测量打印的光谱反射率。 使用选定的离线光谱反射率测量传感器测量打印的光谱反射率。 从测量中,确定传感器校正模型,其将从在线传感器获得的光谱测量值变换为近似离线传感器将测量的光谱。 传感器校正模型用于在数字彩色打印系统上执行颜色管理,使得在离线传感器上测量时数字彩色打印系统的打印输出是准确的。
    • 40. 发明申请
    • PROCESSING A VIDEO FOR TIDAL CHEST VOLUME ESTIMATION
    • 处理用于TIDAL CHEST VOLUME估计的视频
    • US20130324876A1
    • 2013-12-05
    • US13486637
    • 2012-06-01
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • Edgar A. BERNALLalit Keshav MESTHABeilei XU
    • A61B5/091
    • A61B5/091A61B5/0064A61B5/1077A61B5/1128A61B5/1135G01B11/2527
    • What is disclosed is a system and method for estimating tidal chest volume using 3D surface reconstruction based on an analysis of captured reflections of structured illumination patterns from the subject with a video camera. The imaging system hereof captures the reflection of the light patterns from a target area of the subject's thoracic region. The captured information produces a depth map and a volume is estimated from the resulting 3D map. The teachings hereof provide a non-contact approach to patient respiration monitoring that is particularly useful for infant care in a neo-natal intensive care unit (NICU), and can aid in the early detection of sudden deterioration of physiological condition due to detectable changes in respiratory function. The systems and methods disclosed herein provide an effective tool for tidal chest volume study and respiratory function analysis.
    • 所公开的是基于使用摄像机对来自被摄体的结构化照明图案的捕获反射的分析来使用3D表面重建来估计潮汐胸部体积的系统和方法。 其成像系统捕获来自受试者胸部区域的目标区域的光图案的反射。 捕获的信息产生一个深度图,并且从所得到的3D地图估计出一个体积。 本发明的教导提供了对新生儿重症监护病房(NICU)中的婴儿护理特别有用的患者呼吸监测的非接触方法,并且可以有助于早期发现由于可检测的变化引起的生理状态突然恶化 呼吸功能。 本文公开的系统和方法为潮汐胸部体积研究和呼吸功能分析提供了有效的工具。