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    • 32. 发明申请
    • Gaussian blur approximation suitable for GPU
    • 高斯模糊近似适用于GPU
    • US20050286794A1
    • 2005-12-29
    • US10876039
    • 2004-06-24
    • Ralph BrunnerKok ChenJohn Harper
    • Ralph BrunnerKok ChenJohn Harper
    • G06K9/32G06K9/40G06T5/00
    • G06T5/002G06T5/20
    • A Gaussian blur approximation is applied to an image by repeated down-sampling operations followed by an up-sample operation. By using a truncated Gaussian filter as the down-sample filter, the frequency spectrum removed during down-sampling operations closely approximates the frequency spectrum lost during a true Gaussian blur operation. While any “good” up-sample filter may be used, up-sampling via linear interpolation may be especially beneficial in systems having a dedicated graphics processing unit. One benefit of the described technique is that it is computationally less costly to implement than a Gaussian blur. Another benefit is that this computational benefit increases as the size of the blur increases—becoming significant even for small blurs. Yet another benefit of the invention is that a judicious selection of pixel address to convolve with the filter leads to substantially reduced number of texture lookups required to effect a convolution.
    • 高斯模糊近似通过重复的下采样操作随后进行上采样操作来应用于图像。 通过使用截断高斯滤波器作为下采样滤波器,在下采样操作期间去除的频谱与真正的高斯模糊操作期间的频谱损失密切相近。 虽然可以使用任何“良好”的抽样滤波器,但通过线性插值的上采样在具有专用图形处理单元的系统中尤其有利。 所描述的技术的一个好处是,与高斯模糊相比,在计算上成本较低。 另一个好处是,随着模糊大小的增加,这种计算效益即使对于小的模糊也变得显着。 本发明的另一个好处是,与滤波器卷积的像素地址的明智选择导致实现卷积所需的纹理查找的数量大大减少。
    • 35. 发明授权
    • Luminance adjusted face detection
    • 亮度调整面部检测
    • US08705811B1
    • 2014-04-22
    • US12912620
    • 2010-10-26
    • Ralph Brunner
    • Ralph Brunner
    • G06K9/00G06K9/40G06K9/20H04N5/225H04N9/73
    • H04N9/643G06K9/00234G06T5/008G06T2207/30201H04N5/20
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for adjusting luminance of a candidate window prior to facial detection processing. In one aspect, a method includes establishing a target region of an image that potentially contains at least a portion of a face. The method further includes establishing an inset region inside the established target region. The inset region is sized to include a predetermined fraction of the target region. Furthermore, the method includes detecting a face within the established target region of the image using the established inset region.
    • 描述了包括在计算机存储介质上编码的计算机程序的方法,系统和装置,用于在面部检测处理之前调整候选窗口的亮度。 一方面,一种方法包括建立可能包含脸部的至少一部分的图像的目标区域。 该方法还包括在建立的目标区域内建立插入区域。 插入区域的大小适于包括目标区域的预定分数。 此外,该方法包括使用建立的插入区域来检测图像的建立的目标区域内的面部。
    • 36. 发明授权
    • Dynamic exposure metering based on face detection
    • 基于人脸检测的动态曝光测光
    • US08494357B2
    • 2013-07-23
    • US13534749
    • 2012-06-27
    • Ralph Brunner
    • Ralph Brunner
    • G03B7/00G03B3/10G03B13/34H04N5/235
    • H04N5/23219H04N5/23216H04N5/2351
    • A system, computer readable medium, and method for dynamically setting a camera's exposure parameters based on face detection are disclosed. When taking a picture or video of a person in front of a bright background, standard exposure algorithms tend to overexpose the background. In one embodiment disclosed herein, a face detection algorithm is run on the current picture or video frame, and the exposure metering region is inset over the detected face. Exposure time, gain, or other exposure parameters may be set based on the pixels within the exposure metering region. In another embodiment, the exposure metering region tracks a moving face according to lag parameters so that the exposure metering region remains substantially over the face. In yet another embodiment, a plurality of faces may be tracked, with the exposure parameters set based on a weighted average of the pixels within the plurality of face-containing exposure metering regions.
    • 公开了一种用于基于人脸检测来动态地设置相机的曝光参数的系统,计算机可读介质和方法。 当在明亮的背景前拍摄人物的图片或视频时,标准曝光算法往往会过度曝光背景。 在本文公开的一个实施例中,在当前图片或视频帧上运行面部检测算法,并且将曝光测光区域插入检测到的面部。 可以基于曝光测光区域内的像素来设定曝光时间,增益或其他曝光参数。 在另一个实施例中,曝光测光区域根据滞后参数跟踪移动面,使得曝光测光区域基本上保持在面部上。 在另一个实施例中,可以跟踪多个面部,其中曝光参数是基于多个面部含有曝光测光区域内的像素的加权平均值而设定的。
    • 37. 发明申请
    • Orientation Detection Using Image Processing
    • 使用图像处理的方位检测
    • US20130182139A1
    • 2013-07-18
    • US13351804
    • 2012-01-17
    • Ralph Brunner
    • Ralph Brunner
    • H04N5/228G06K9/18
    • G06K9/3208
    • Devices, methods, and computer readable media for performing image orientation detection using image processing techniques are described. In one implementation, an image processing method is disclosed that obtains image data from a first image captured by an image sensor (e.g., from any image capture electronic device). Positional sensor data captured by the device and corresponding to the image data may also be acquired (e.g., through an accelerometer). If the orientation of the device is not reliably discernible from the positional sensor data, the method may attempt to use rotationally invariant character detection metrics to determine the most likely orientation of the image, e.g., by using a decision forest algorithm. Face detection information may be used in conjunction with, or as a substitute for, the character detection data based on one or more priority parameters. Image orientation information may then be included within the image's metadata.
    • 描述了使用图像处理技术执行图像取向检测的装置,方法和计算机可读介质。 在一个实现中,公开了一种从由图像传感器(例如,从任何图像捕获电子设备)捕获的第一图像获得图像数据的图像处理方法。 也可以获取由设备捕捉并对应于图像数据的位置传感器数据(例如,通过加速度计)。 如果从位置传感器数据不能可靠地识别设备的方位,则该方法可以尝试使用旋转不变字符检测度量来确定图像的最可能取向,例如通过使用决策树算法。 基于一个或多个优先级参数,人脸检测信息可以与字符检测数据结合使用或替代。 然后可以将图像取向信息包括在图像的元数据中。
    • 38. 发明申请
    • Image Noise Reduction
    • 图像降噪
    • US20120307110A1
    • 2012-12-06
    • US13151967
    • 2011-06-02
    • Farhan A. BaqaiRalph Brunner
    • Farhan A. BaqaiRalph Brunner
    • H04N9/68G06K9/00G06K9/40
    • H04N5/21G06K9/40H04N5/217
    • Systems, methods, and computer readable media for removing noise from the luminance (luma) channel in a digital image represented in the YUV color space are described. In general, an element from the luma channel may be selected and a region about that element defined. Using a threshold that is based on the selected luma element's value, similar luma values within the defined region may be identified and combined to provide a substitute value. The substitute value may be blended with the value of the selected element within the image's luma channel. In another implementation, element values from both an image's luma and chroma channels may be used to identify similar luma values.
    • 描述了用于从YUV颜色空间中表示的数字图像中的亮度(亮度)通道去除噪声的系统,方法和计算机可读介质。 通常,可以选择来自亮度通道的元件,并且定义关于该元件的区域。 使用基于所选择的亮度元素值的阈值,可以识别并组合所定义区域内的相似亮度值以提供替代值。 替代值可以与图像的亮度通道内的所选择的元素的值相混合。 在另一实现中,可以使用来自图像的亮度和色度通道的元素值来识别相似的亮度值。
    • 39. 发明申请
    • Automatic Exposure Control Based on Multiple Regions
    • 基于多个区域的自动曝光控制
    • US20120307107A1
    • 2012-12-06
    • US13151165
    • 2011-06-01
    • Ralph Brunner
    • Ralph Brunner
    • H04N5/235
    • H04N5/2351H04N5/23219
    • Systems, methods, and computer readable media for performing auto-exposure operations in a digital image capture device. An image capture device's auto-exposure settings may be automatically adjusted by generating and then combining, in a dynamically weighted fashion, two sets of exposure values. One set of exposure values may be based on detected faces while the other set may be based on the image as a whole. Each set of exposure values may include a “measured” value and a “target” value, wherein each of these values may, in turn, be based on one or more (different) aspects of the image. Illustrative digital image capture devices in which the disclosed technology may be used include, but are not limited, to portable digital cameras, mobile telephones, personal digital assistants, mobile music and video devices, and portable computer platforms such as notebook and tablet computers.
    • 用于在数字图像捕获设备中执行自动曝光操作的系统,方法和计算机可读介质。 可以通过以动态加权的方式生成然后组合两组曝光值来自动调整图像拍摄装置的自动曝光设置。 一组曝光值可以基于检测到的面部,而另一组可以基于整体上的图像。 每组曝光值可以包括测量值和目标值,其中这些值中的每一个又可以基于图像的一个或多个(不同)方面。 可以使用所公开的技术的示例性数字图像捕获装置包括但不限于便携式数码相机,移动电话,个人数字助理,移动音乐和视频装置以及诸如笔记本和平板计算机的便携式计算机平台。