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    • 1. 发明授权
    • Scene adaptive auto exposure
    • 场景自适应自动曝光
    • US08488958B2
    • 2013-07-16
    • US12786710
    • 2010-05-25
    • Ralph BrunnerFrank Doepke
    • Ralph BrunnerFrank Doepke
    • G03B7/00G03B3/10G03B13/34H04N5/235
    • G03B7/08G03B7/091H04N5/23216H04N5/2351
    • Systems, methods, and a computer readable medium for an improved automatic exposure algorithm attempt to classify an image into a particular “scene category,” and, based on the determined scene category, meter the scene according to a generated metering weighting matrix. In one embodiment, the average luminance is calculated for a central exposure metering region of the image and a plurality of peripheral exposure metering regions surrounding the central exposure metering region. Based on comparisons of the average luminance values of the peripheral exposure regions to the average luminance of the central exposure region, a target metering weighting matrix may be generated. In another embodiment, the scene category corresponds to a predetermined metering weighting matrix. In video applications, it may be desirable to reduce oscillations in metering parameter values to limit any visually jarring effects on the camera's preview screen by only adjusting metering parameter values when predetermined criteria are met.
    • 用于改进的自动曝光算法的系统,方法和计算机可读介质尝试将图像分类为特定的“场景类别”,并且基于所确定的场景类别,根据生成的计量加权矩阵来计量场景。 在一个实施例中,对于图像的中央曝光测光区域和围绕中央曝光测光区域的多个周边曝光测光区域计算平均亮度。 基于外围曝光区域的平均亮度值与中央曝光区域的平均亮度的比较,可以生成目标计量加权矩阵。 在另一个实施例中,场景类别对应于预定计量加权矩阵。 在视频应用中,可能希望通过仅在满足预定标准时调整测光参数值,减少计量参数值中的振荡,以限制对相机预览屏幕的任何视觉刺激的影响。
    • 2. 发明授权
    • Intelligent image blending for panoramic photography
    • 智能图像混合全景摄影
    • US09088714B2
    • 2015-07-21
    • US13109941
    • 2011-05-17
    • Frank DoepkeRalph Brunner
    • Frank DoepkeRalph Brunner
    • H04N5/225H04N5/232
    • H04N5/23238
    • This disclosure pertains to devices, methods, and computer readable media for performing positional sensor-assisted panoramic photography techniques in handheld personal electronic devices. Generalized steps that may be used to carry out the panoramic photography techniques described herein include, but are not necessarily limited to: 1.) acquiring image data from the electronic device's image sensor; 2.) performing “motion filtering” on the acquired image data, e.g., using information returned from positional sensors of the electronic device to inform the processing of the image data; 3.) performing image registration between adjacent captured images; 4.) performing geometric corrections on captured image data, e.g., due to perspective changes and/or camera rotation about a non-center of perspective (COP) camera point; and 5.) “stitching” the captured images together to create the panoramic scene, e.g., blending the image data in the overlap area between adjacent captured images. The resultant stitched panoramic image may be cropped before final storage.
    • 本公开涉及用于在手持式个人电子设备中执行位置传感器辅助全景摄影技术的设备,方法和计算机可读介质。 可以用于执行本文描述的全景摄影技术的通用步骤包括但不限于:1.从电子设备的图像传感器获取图像数据; 2.对所获取的图像数据执行“运动滤波”,例如使用从电子设备的位置传感器返回的信息来通知图像数据的处理; 3)在相邻拍摄图像之间执行图像配准; 4.)对捕获的图像数据进行几何校正,例如由于透视变化和/或关于非中心透镜(COP)相机点的相机旋转; 和5.)将捕获的图像拼接在一起以创建全景场景,例如,将相邻拍摄图像之间的重叠区域中的图像数据混合。 最终的缝合全景图像可以在最终存储之前被裁剪。
    • 3. 发明授权
    • Auto exposure blowout prevention
    • 自动曝光防喷
    • US08493500B2
    • 2013-07-23
    • US12912943
    • 2010-10-27
    • Frank DoepkeRalph Brunner
    • Frank DoepkeRalph Brunner
    • H04N5/235G03B7/00
    • H04N5/2351H04N5/2353
    • Systems, methods, and a computer readable medium for performing an improved blowout prevention process in an image capture device are provided to compensate for occurrences of exposure “blowouts,” i.e., areas in a captured image where pixel brightness exceeds the sensor's dynamic range of capturing capability. In one embodiment, the captured image's histogram may be analyzed to determine if the image is indicative of the presence of exposure blowouts. Once it has been determined that there likely are blowouts in the image, an exposure bias for the image capture device may be set accordingly. Particularly, the exposure value (EV) for the image capture device may be gradually corrected, e.g., by one-eighth of a stop per captured frame, until the image histogram is no longer indicative of blown out regions, at which point the image capture device's exposure value may gradually be corrected back to “normal,” i.e., non-exposure bias compensated, levels.
    • 提供用于在图像捕获装置中执行改进的防止井喷过程的系统,方法和计算机可读介质,以补偿曝光“井喷”的出现,即,捕获图像中的像素亮度超过传感器的捕获动态范围的区域 能力。 在一个实施例中,可以分析捕获的图像的直方图以确定图像是否指示曝光爆破的存在。 一旦已经确定图像中可能有喷射,则可以相应地设置用于图像捕获装置的曝光偏压。 特别地,图像捕获装置的曝光值(EV)可以逐渐地被校正,例如每拍摄的帧的八分之一的停止,直到图像直方图不再指示吹出的区域,此时图像捕获 设备的曝光值可能会逐渐被修正回“正常”,即非曝光偏差补偿水平。
    • 4. 发明申请
    • Intelligent Image Blending for Panoramic Photography
    • 用于全景摄影的智能图像混合
    • US20120293610A1
    • 2012-11-22
    • US13109941
    • 2011-05-17
    • Frank DoepkeRalph Brunner
    • Frank DoepkeRalph Brunner
    • H04N5/225
    • H04N5/23238
    • This disclosure pertains to devices, methods, and computer readable media for performing positional sensor-assisted panoramic photography techniques in handheld personal electronic devices. Generalized steps that may be used to carry out the panoramic photography techniques described herein include, but are not necessarily limited to: 1.) acquiring image data from the electronic device's image sensor; 2.) performing “motion filtering” on the acquired image data, e.g., using information returned from positional sensors of the electronic device to inform the processing of the image data; 3.) performing image registration between adjacent captured images; 4.) performing geometric corrections on captured image data, e.g., due to perspective changes and/or camera rotation about a non-center of perspective (COP) camera point; and 5.) “stitching” the captured images together to create the panoramic scene, e.g., blending the image data in the overlap area between adjacent captured images. The resultant stitched panoramic image may be cropped before final storage.
    • 本公开涉及用于在手持式个人电子设备中执行位置传感器辅助全景摄影技术的设备,方法和计算机可读介质。 可以用于执行本文描述的全景摄影技术的通用步骤包括但不限于:1.从电子设备的图像传感器获取图像数据; 2.对所获取的图像数据执行运动滤波,例如使用从电子设备的位置传感器返回的信息来通知图像数据的处理; 3)在相邻拍摄图像之间执行图像配准; 4.)对捕获的图像数据进行几何校正,例如由于透视变化和/或关于非中心透镜(COP)相机点的相机旋转; 和5.)将所捕获的图像拼接在一起以创建全景场景,例如,将图像数据混合在相邻拍摄图像之间的重叠区域中。 最终的缝合全景图像可以在最终存储之前被裁剪。
    • 5. 发明申请
    • Auto Exposure Blowout Prevention
    • 自动曝光防喷
    • US20120105672A1
    • 2012-05-03
    • US12912943
    • 2010-10-27
    • Frank DoepkeRalph Brunner
    • Frank DoepkeRalph Brunner
    • H04N5/235
    • H04N5/2351H04N5/2353
    • Systems, methods, and a computer readable medium for performing an improved blowout prevention process in an image capture device are provided to compensate for occurrences of exposure “blowouts,” i.e., areas in a captured image where pixel brightness exceeds the sensor's dynamic range of capturing capability. In one embodiment, the captured image's histogram may be analyzed to determine if the image is indicative of the presence of exposure blowouts. Once it has been determined that there likely are blowouts in the image, an exposure bias for the image capture device may be set accordingly. Particularly, the exposure value (EV) for the image capture device may be gradually corrected, e.g., by one-eighth of a stop per captured frame, until the image histogram is no longer indicative of blown out regions, at which point the image capture device's exposure value may gradually be corrected back to “normal,” i.e., non-exposure bias compensated, levels.
    • 提供用于在图像捕获装置中执行改进的防止井喷过程的系统,方法和计算机可读介质,以补偿曝光“井喷”的出现,即,捕获图像中的像素亮度超过传感器的捕获动态范围的区域 能力。 在一个实施例中,可以分析捕获的图像的直方图以确定图像是否指示曝光爆破的存在。 一旦已经确定图像中可能有喷射,则可以相应地设置用于图像捕获装置的曝光偏压。 特别地,图像捕获装置的曝光值(EV)可以逐渐地被校正,例如每拍摄的帧的八分之一的停止,直到图像直方图不再指示吹出的区域,此时图像捕获 设备的曝光值可能会逐渐被修正回“正常”,即非曝光偏差补偿水平。
    • 6. 发明申请
    • Scene Adaptive Auto Exposure
    • 场景自适应自动曝光
    • US20110293259A1
    • 2011-12-01
    • US12786710
    • 2010-05-25
    • Frank DoepkeRalph Brunner
    • Frank DoepkeRalph Brunner
    • G03B7/00H04N5/235
    • G03B7/08G03B7/091H04N5/23216H04N5/2351
    • Systems, methods, and a computer readable medium for an improved automatic exposure algorithm attempt to classify an image into a particular “scene category,” and, based on the determined scene category, meter the scene according to a generated metering weighting matrix. In one embodiment, the average luminance is calculated for a central exposure metering region of the image and a plurality of peripheral exposure metering regions surrounding the central exposure metering region. Based on comparisons of the average luminance values of the peripheral exposure regions to the average luminance of the central exposure region, a target metering weighting matrix may be generated. In another embodiment, the scene category corresponds to a predetermined metering weighting matrix. In video applications, it may be desirable to reduce oscillations in metering parameter values to limit any visually jarring effects on the camera's preview screen by only adjusting metering parameter values when predetermined criteria are met.
    • 用于改进的自动曝光算法的系统,方法和计算机可读介质尝试将图像分类为特定的“场景类别”,并且基于所确定的场景类别,根据生成的计量加权矩阵来计量场景。 在一个实施例中,对于图像的中央曝光测光区域和围绕中央曝光测光区域的多个周边曝光测光区域计算平均亮度。 基于外围曝光区域的平均亮度值与中央曝光区域的平均亮度的比较,可以生成目标计量加权矩阵。 在另一个实施例中,场景类别对应于预定计量加权矩阵。 在视频应用中,可能希望通过仅在满足预定标准时调整测光参数值,减少计量参数值中的振荡,以限制对相机预览屏幕的任何视觉刺激的影响。
    • 8. 发明授权
    • Projection-based image registration
    • 基于投影的图像注册
    • US09042679B2
    • 2015-05-26
    • US13489778
    • 2012-06-06
    • Marco ZulianiKevin L. HunterJianping ZhouTodd SachsFrank Doepke
    • Marco ZulianiKevin L. HunterJianping ZhouTodd SachsFrank Doepke
    • G06K9/32G06T7/00H04N5/232
    • G06T7/0026G06T7/32G06T2207/20021G06T2207/20068H04N5/23254H04N5/23258
    • Systems, methods, and computer readable media to register images in real-time and that are capable of producing reliable registrations even when the number of high frequency image features is small. The disclosed techniques may also provide a quantitative measure of a registration's quality. The latter may be used to inform the user and/or to automatically determine when visual registration techniques may be less accurate than motion sensor-based approaches. When such a case is detected, an image capture device may be automatically switched from visual-based to sensor-based registration. Disclosed techniques quickly determine indicators of an image's overall composition (row and column projections) which may be used to determine the translation of a first image, relative to a second image. The translation so determined may be used to align/register the two images.
    • 系统,方法和计算机可读介质实时注册图像,即使当高频图像特征数量较少时也能够产生可靠的注册。 所公开的技术还可以提供对注册质量的定量测量。 后者可以用于通知用户和/或自动确定何时视觉注册技术可能比基于运动传感器的方法更不准确。 当检测到这种情况时,可以将图像捕获设备自动地从基于视觉切换到基于传感器的注册。 公开的技术快速地确定图像的整体组成(行和列投影)的指示符,其可以用于确定第一图像相对于第二图像的平移。 如此确定的翻译可用于对准/注册两个图像。
    • 10. 发明授权
    • Skin tone and feature detection for video conferencing compression
    • 视频会议压缩的肤色和特征检测
    • US08588309B2
    • 2013-11-19
    • US12755551
    • 2010-04-07
    • Frank Doepke
    • Frank Doepke
    • H04N7/12H04N11/02H04N11/04
    • H04N7/147G06K9/00234H04N19/115H04N19/14H04N19/167H04N19/176
    • In many videoconferencing applications, bandwidth is at a premium, and thus, it is important to encode a given video frame intelligently. It is often desirable that a larger amount of information be spent encoding the more important parts of the video frame, e.g., human facial features, whereas the less important parts of the video frame can be compressed at higher rates. Thus, there is need for an apparatus, computer readable medium, processor, and method for intelligent skin tone and facial feature aware videoconferencing compression that can “suggest” intelligent macroblock compression ratios to a video encoder. The suggestion of compression rates can be based at least in part on a determination of which macroblocks in a given video frame are likely to contain skin tones, likely to contain features (e.g., edges), likely to contain features in or near skin tone regions, or likely to contain neither skin tones nor features.
    • 在许多视频会议应用中,带宽是非常重要的,因此,对于给定的视频帧进行智能编码是很重要的。 通常希望花更大量的信息来编码视频帧的更重要部分,例如人脸特征,而视频帧中不太重要的部分可以以更高的速率被压缩。 因此,需要一种用于智能肤色和面部特征识别视频会议压缩的装置,计算机可读介质,处理器和方法,其能够向视频编码器“建议”智能宏块压缩比。 压缩率的建议可以至少部分地基于确定给定视频帧中哪些宏块可能包含可能包含特征(例如,边缘)的肤色,其可能包含皮肤色调区域或附近的特征 ,或者可能既不含皮肤色调也不含有特征。